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From Street Vendor to EdTech Founder: How Luciano Almeida Is Uniting Education and Careers

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LDR Academy: Entrepreneurship meets education LDR Academy Luciano Rodrigues Almeida

LDR Academy founder Luciano Rodrigues Almeida shares how entrepreneurship shaped his journey from Brazil to Europe and his vision for connecting education, careers and professional opportunities.

Luciano, could you briefly introduce yourself and tell us what brought you from Brazil to Europe?

I’m Luciano Rodrigues Almeida, a Brazilian entrepreneur and university student currently living in Belgium. I grew up in the interior of Bahia, and entrepreneurship entered my life long before I knew that word. As a child, I sold papayas at the local market and went door to door selling bananas.

One of the reasons I came to Europe was to step outside the Brazilian bubble and look back at my own country from another perspective. When we are inside a reality, we often see its problems very clearly but can become blind to some of its possibilities. Distance helped me see Brazil differently — and also see myself differently.

My path has moved through human resources, psychoanalysis, people development and entrepreneurship. Living in Europe has made me question systems I once took for granted and has influenced many of the ideas I am building today.

You jokingly describe yourself as “the ideas kid.” What is behind this expression, and what does it say about the way you approach entrepreneurship?

I use “the ideas kid” with some humor because my mind is constantly asking: “Why does this have to work this way?”

That instinct has been with me for a long time. When I was a child in Bahia, I was already trying to find ways to sell something and reach people. Today the products and the doors are different, but in a sense I am still doing the same thing: knocking on doors.

Now the door might belong to a university, a company, a potential partner or even a newsroom. The technology changed, the scale changed and I changed, but I still believe opportunities often begin when you have the courage to knock.

Entrepreneurship has also taught me that having ideas is the easy part. An idea has little value until it meets a real need. So today I try to move from “I have an idea” to “Is there a real problem here, and will people actually use the solution?”

You started by questioning why education, professional networks, skills development and employment often exist separately. Which personal experiences led you to this question?

Part of it came from my own experience as a student, professional and immigrant.

I would look for a course in one place, professional opportunities somewhere else, networking on another platform, career guidance somewhere else again, and job vacancies on yet another website. Starting again in another country made that fragmentation even more visible.

A person does not experience life in separate platforms. Someone can be studying today, looking for a job tomorrow, needing career guidance next month and eventually becoming an entrepreneur or offering their own services.

That question became one of the foundations of LDR Academy: what if more of this journey could be connected instead of forcing people to restart their story every time they need something different?

LDR Academy began with the idea of connecting areas that are often separated. How did that original concept develop into what you are building today?

It evolved gradually.

Initially, the focus was much more on education and access to learning. Then I started seeing connections with employability, professional development, networking and entrepreneurship.

Instead of creating an isolated solution every time I encountered another problem, I began asking whether these problems were actually parts of the same journey.

Today, the broader vision is an ecosystem where a person can enter to learn something and continue in the same environment to develop skills, build professional relationships, discover opportunities and, eventually, offer their own knowledge or services.

LDR Academy is still evolving. I think it is important to say that openly. We are building and testing rather than pretending everything is already finished.

You speak openly about the fact that some of your ideas worked while others failed. Can you share an example of something that did not work and what you learned from it?

My first company failed.

What makes that experience especially meaningful to me is that it was, in many ways, an earlier attempt to build something connected to what I am trying to create today. I could have interpreted that failure as proof that I should stop. Instead, I eventually chose to understand what had gone wrong and try again with more experience.

I learned that enthusiasm cannot replace validation, focus or a sustainable business model. I also learned that failure does not erase what you discovered while trying.

So when I say I am building again, I am not starting from zero. I am starting with lessons that were expensive — emotionally, professionally and financially — to learn.

I failed once, but I did not give up. LDR Academy is also part of that continuation.

How do you determine whether an idea solves a real problem or simply sounds promising in theory?

I ask whether the problem exists without my product.

Are people already trying to solve it somehow? Are they spending time, money or effort on alternatives? Do they complain about it? Do I repeatedly encounter the same difficulty myself?

Then I try to put something real in front of people. This is one of the lessons I carry from my first business: building is not the same as validating.

A conversation can validate interest, but behavior is stronger evidence. Someone actually using a product tells you much more than someone saying, “That’s a great idea.”

What role do technology and digital solutions play in your vision for connecting education, career development and employability?

Technology is the infrastructure, not the purpose.

The purpose is helping people move forward.

Technology allows us to connect experiences that historically have been separated: learning, professional profiles, opportunities, communities, employers and services.

I am particularly interested in how technology and AI can reduce friction — helping someone understand what skills they need for an opportunity, find relevant learning, demonstrate what they know and connect with organizations looking for those capabilities.

But technology should make the human journey simpler, not more confusing. If the system is impressive but the person feels more lost after using it, then we have solved the wrong problem.

You are building without the resources and structures of a large startup. What are the biggest challenges you currently face?

Focus is probably the biggest one.

When resources are limited, every decision matters. You cannot build everything simultaneously, even when you can see many possibilities.

There is also the challenge of credibility. When you are building something new without a famous investor, a large team or a recognized brand behind you, you have to earn trust one conversation at a time.

That is where my childhood story still feels surprisingly current. I used to go door to door trying to sell what I had. Today I still have to knock on doors — only now I am presenting ideas, partnerships and a vision.

Funding, technology, partnerships and customer acquisition are obvious challenges, but prioritization and persistence sit underneath all of them.

You are working between Brazil and Europe. What differences do you see between the two markets when it comes to education, careers and entrepreneurship?

Living in Europe changed the way I look at Brazil.

From inside a country, it is easy to focus on what does not work. Distance gave me another perspective. I began to see not only Brazil’s difficulties, but also the creativity, adaptability and scale of possibilities that can be difficult to notice when they are part of your everyday life.

Europe, meanwhile, has exposed me to different institutions, cultures and ways of organizing education, work and mobility. Being able to observe both environments has made me less interested in deciding which one is “better” and more interested in what they can learn from each other.

That bridge between Brazil and Europe is increasingly part of how I think about LDR Academy.

Many young founders have plenty of ideas but struggle to decide which one to pursue. How do you decide whether an idea is worth investing your time and energy in?

I look for the intersection of three things: a real problem, people I can realistically reach and something I am willing to work on even after the initial excitement disappears.

That last part matters because ideas are exciting, while execution becomes repetitive, difficult and sometimes frustrating.

My first company taught me that wanting something badly is not enough. You have to listen, adjust and sometimes admit that part of what you built was wrong.

I now ask myself not only whether I love an idea, but whether I care enough about the problem to stay with it when the excitement is gone.

Where do you want to take LDR Academy over the next few years, and what are the next steps in turning your broader vision into reality?

I want LDR Academy to become an ecosystem connecting education, professional development, community and opportunity.

The ambition is simple to explain, even if it is difficult to build: someone might enter because they want to learn something, then use the same ecosystem to develop their career, build professional connections, find opportunities and, eventually, create or offer something themselves.

For companies and institutions, I want it to become another bridge to talent, learning and professional development.

The next step is not simply adding more features. It is proving that these connections create real value, strengthening partnerships and building a sustainable business around them.

I have already learned what it feels like when a company does not work. That makes me more ambitious about the vision, but also more serious about proving each step.

Finally, what three tips would you give to young founders who have an idea but do not yet have a large network, significant funding or an experienced team?

First: start before you feel completely ready. Reality will teach you things that planning cannot.

Second: talk to people before building too much. Your assumptions are not your customers’ reality.

Third: do not confuse a small beginning with a small possibility.

I think about that last point personally. I was once a boy in the interior of Bahia selling papayas at the market and knocking on doors. Today I live in Europe and I am still, in a different way, knocking on doors with an idea.

I do not know yet how far LDR Academy will go. That uncertainty is part of the story. What I do know is that a first failure did not have to become the final chapter.

I am still following these three pieces of advice myself.

Image credit: Private photo / Luciano Rodrigues Almeida

Thank you Luciano Rodrigues Almeida for the Interview

Statements of the author and the interviewee do not necessarily represent the editors and the publisher opinion again.

75 Million Views to Retail: How TheRealTbat Turned ‘HAGS’ Into a Global Apparel Brand

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HAGS: HAGS Clothing builds a brand around community Tyler Batliner HAGS

HAGS founder Tyler Batliner explains how HAGS Clothing grew from a simple university idea into a brand built around summer, sport, community and social media.

Could you briefly introduce yourself and HAGS Clothing and tell us how the idea for the brand first came about?

I’m Tyler Batliner, founder of HAGS Clothing and the creator behind TheRealTbat. I started HAGS while I was attending the University of Missouri.

The original idea came from something really simple: “Have A Great Summer.” Growing up, I would see people write “HAGS” in yearbooks at the end of the school year. Everyone knew exactly what those four letters meant.

I liked it because there was a feeling behind it. Summer meant being out of school, travelling, being outside, hanging out with friends and making memories. It was something people looked forward to every year.

I started thinking that HAGS could be more than something written in a yearbook. It could represent that feeling and become something people could actually wear.

As the brand developed, “Have A Great Saturday” became another part of HAGS. It takes the same feeling behind Have A Great Summer and brings it into weekends, sport, events and everyday life.

Have A Great Summer is still the heart of HAGS. Have A Great Saturday is an extension of it.

“Have A Great Summer” is at the heart of HAGS, while “Have A Great Saturday” was added later. What do these two ideas mean to you and the brand?

The heart of HAGS actually started with Have A Great Summer, and that will always be the foundation of the brand.

Have A Great Saturday came later.

When I was at university, Saturdays were what everyone looked forward to. You had football games, tailgates, friends getting together and usually something going on all day. It reminded me of the same feeling I associated with summer.

That’s when Have A Great Saturday started making sense.

The two phrases really represent the same idea to me: enjoy where you are, spend time with people you care about and make memories.

You’re never going to get that exact summer or that exact Saturday back.

That idea is much bigger than American college culture. Whether your Saturday is spent at a football match, a festival, on holiday, at the beach, at a race or simply out with friends, the feeling is the same.

That’s what I want HAGS to represent.

College and gameday culture play an important role in HAGS Clothing. What makes this market particularly exciting for you?

My experience at the University of Missouri definitely had a big influence on this side of HAGS.

What we call “gameday” in American college sport is really an entire experience built around the event. There are traditions, friends getting together, food, clothing and entire communities participating.

I think that idea translates well outside the United States too. Sport has an incredible ability to create communities and traditions. You see it with football clubs in the UK and Europe, motorsport, rugby and plenty of other sports.

For HAGS, I’m interested in everything surrounding the event, not just what happens during the game itself.

People remember where they went, what they wore and who they were with. That lifestyle and community aspect is what makes the market exciting to me.

Who is the core target audience for HAGS Clothing, and what do your customers value most about the brand?

Our core audience is currently younger consumers, particularly students, recent graduates and people interested in sport, travel, weekends and casual fashion.

But I don’t want HAGS to be restricted to one age group or one country.

Everyone understands looking forward to summer. Most people understand looking forward to Saturday too.

I think customers connect with the simplicity of HAGS. We’re not trying to make the message overly complicated.

Have A Great Summer.

Have A Great Saturday.

Go somewhere, spend time with your friends and enjoy it.

That’s something I think people can understand almost anywhere in the world.

The apparel market is highly competitive. What makes HAGS Clothing different from other college and gameday brands?

There are thousands of companies selling T-shirts and hats, so I don’t think simply making another design is enough.

For me, the difference starts with the meaning behind HAGS.

Have A Great Summer gives us an identity that isn’t dependent on a particular product, sport or location. Have A Great Saturday lets us take that same identity into weekends, sport and events.

That gives HAGS room to grow.

We can create something inspired by a university town, but we can also create something for summer, motorsport, travel or another experience without completely changing what the brand represents.

The product is important, but I want the idea behind HAGS to be what people eventually remember.

You have also built a community of more than 200,000 followers with TheRealTbat. How has that experience influenced the development of HAGS Clothing?

It has given me a huge head start, but it has also taught me that having followers doesn’t automatically mean you have customers.

Through TheRealTbat, I built an audience of more than 200,000 followers and my content has generated more than 75 million views.

That experience taught me how to get people’s attention, experiment with content and understand what an online audience responds to.

When I started HAGS, I already had a way to introduce the brand to a large number of people, which was a major advantage.

But I learned quickly that getting somebody to watch a video and getting somebody to spend money on a product are completely different things.

The audience gave HAGS an opportunity. The brand and products still have to give people a reason to buy.

How important are social media and community building when launching and growing a consumer brand today?

I think they’re incredibly important, especially for a young brand.

Social media has made it possible for a small company to reach people all over the world without needing the marketing budget of a major fashion company.

It also gives you immediate feedback.

I can show people a new HAGS idea and see how they react before investing heavily in it. That doesn’t mean likes automatically equal sales, because they definitely don’t, but the feedback is still valuable.

Long term, community is even more important.

I don’t want somebody to buy HAGS once because they happened to see one of my videos. I want people to understand what HAGS represents and choose to follow the brand itself.

That’s when you start moving from selling products to actually building a brand.

What have been the biggest challenges in turning HAGS from an idea into a growing business?

Probably realising how many different things go into building a clothing company.

Coming up with the idea and creating designs is the fun part. Then there is the website, fulfilment, shipping, customer service, marketing, product photography, margins and everything else happening behind the scenes.

Another challenge has been learning what people actually want.

I’ve created products I thought would do really well that didn’t. Then a much simpler idea can perform better than expected.

That has taught me to test things and pay attention to what customers actually do rather than assuming I already know the answer.

I’m still learning all the time, and I think that’s just part of building something.

I always try to start with whether the product actually makes sense for HAGS.

Obviously, I pay attention to fashion and social media trends. You have to understand what people are wearing, especially when your audience is young.

But I don’t want HAGS to release something just because it happens to be popular that month.

I want there to be some connection to summer, weekends, sport, travel, college culture or the general lifestyle we’ve built around HAGS.

The goal is to take inspiration from trends without letting trends decide what the entire brand becomes.

What have you learned about converting an online audience into customers and building long-term loyalty beyond social media?

The biggest lesson has been that attention and sales are not the same thing.

You can have a video receive thousands of views and barely sell anything. Another product might receive much less attention online but convert really well.

Trust is a huge part of it.

People need to feel comfortable with your website, products, delivery and customer service. That’s especially important when someone discovers a brand through social media and has never heard of the company before.

One of my biggest goals is for HAGS to eventually reach people who have absolutely no idea who TheRealTbat is.

TheRealTbat helped give HAGS its start, but I want HAGS to have its own identity and its own community.

What are your plans for HAGS Clothing over the next few years, and where would you like to take the brand internationally?

I want to keep growing the college and gameday side because it has become an important part of HAGS, but I also want to expand the lifestyle side of the brand.

That’s where Have A Great Summer becomes really important.

I’d love to eventually see HAGS in the UK and other markets, particularly around sport, university life, summer travel, festivals and other communities that fit naturally with the brand.

I don’t want to expand internationally just for the sake of saying we’re international. I want to find places where the message actually makes sense and build a real community there.

The goal is for someone to see those four letters anywhere in the world and eventually understand what they stand for.

Have A Great Summer.

Finally, what three pieces of advice would you give to founders who want to build a strong consumer brand and community from scratch?

The first would be start before everything is perfect. HAGS today is different from what I pictured when I started, and I’m sure it will look different again in a few years. You learn a lot more by actually putting something into the world than you do by waiting for everything to be perfect.

Second, pay attention to what people actually do, not just what they say. Likes, comments and views are great, but purchases and repeat customers tell you much more about whether you’re creating something people really value.

Third, give people something to connect with. There are endless places to buy a T-shirt or a hat. The product matters, but people also need a reason to remember your brand.

For HAGS, that started with four letters and a phrase almost everyone understands:

Have A Great Summer.

As the brand grew, that became Have A Great Saturday too.

Picturecredits

Thank you Tyler Batliner for the Interview

Statements of the author and the interviewee do not necessarily represent the editors and the publisher opinion again.

Most founders can’t question their own data

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Founders have a habit of looking more at dashboards than the spreadsheets or raw numbers. Someone else built the model, chose the cohort, decided what counted as “active,” and picked the date range that made the chart more readable. The founder’s job, in theory, is to decide what to do next. And, it makes sense for founders to outsource and delegate, especially if they’re a non-technical founder.

But in practice, a lot rests on trusting that whoever built the analysis asked the right question in the first place. After all, for what the founder lacks in technical analyst skills, the analyst lacks in business intelligence and context relative to the founder.

Most founders have no reliable way to check. Not because they can’t read a chart, but reading a chart and interrogating the method behind it are very different things. Only one of them gets taught.

The failure is deceiving because it’s not that the answer (analysis and dashboard) is bad, but that it’s a good answer to the wrong question.

The sums, not the story

The clearest example of what gets missed is in a 1973 admissions dataset from Berkeley. In aggregate, the university had acceptance rates of 44% from male applicants and only 35% from female applicants that year. It was a big, concerning gap that looked like clear evidence of bias. But when broken down, the picture began to reverse. Women applied in far larger numbers to hyper-competitive departments that had overall acceptance.

Pool the departments together and the aggregate number found a pattern that doesn’t really exist in any single department. In a business context, the dashboard and top-line figure in isolation didn’t tell the whole story. When the founder is presented with only half the story, they can draw the wrong conclusions.

The data that never made it back

The same failure runs the other way too. Not a total that hides a pattern, but a dataset that’s missing the cases that actually mattered the most. In 1943, the US Army wanted to know where to add armor to its bombers, and the obvious approach was to study the bullet holes on planes that returned from missions so it could reinforce the areas that were hit most often.

The statistician Abraham Wald, working with Columbia University, pointed out the flaw in this approach: the returning planes were, by definition, the ones that survived their damage.

So the areas with the fewest bullet holes on returning aircraft weren’t actually the safest places to get hit, they were the most devastating places, because a hit meant the plane never made it back to be counted at all.

So the armor went on the gaps in the data rather than the marks on it. Wald wasn’t working from a bigger dataset than the officers that were already studying the same bombers, he was asking a different question of the identical numbers.

A founder analysing churn might focus completely on exit surveys from departing users, missing the fact that the most critical failure signals are found in the lost prospects who abandoned the product before reaching the onboarding phase to leave any feedback at all. Once you pose the right question, the absence of data is telling in and of itself, but it not an intuition that many have naturally (due to human biases), so it must be taught.

Where the skill actually gets taught

Interrogating a data set and asking what’s missing, what’s been pooled together that shouldn’t be, what assumption the model is making, does not come naturally to humans, but it’s a teachable skill.

It shows up as a deliberate part of some business degrees rather than something students pick up accidentally. Schiller International University’s degree in international business is an example of building that kind of analytical questioning into its coursework along with the more obvious international business skills.

For students or founders who want that training, an american university in Germany means not settling for a translated course, but having it natively created in English, while also benefiting from studying in an internationalised environment.

A confidence problem, not a skills one

This isn’t so much a founder-specific failing, nor does it fade with seniority. A KPMG global survey of executives (ten countries) found:

  • 70% believed using data and analytics exposed their organisation to reputational risk. This mistrust tracked all the way through the process
  • 10% of respondents said their organisation excelled across every stage of managing data and analytics
  • 16% were confident in the accuracy of the models they were producing
  • 18% had governance frameworks they’d confidently describe as adequate across the board

It became clear that data sourcing had the most trust, but confidence soon fell away at every stage downstream. Founders of large organisations report the same gap a first-time founder has – it’s not a lack of dashboards, but a lack of grounds to trust their foundations.

The founders who ask the better questions usually aren’t smarter, but simply just learned, at some point, to stop reading the answer before they understand the method that produced it.

Picture Tumisu / Pixabay

Author Dino Bozzi

Statements of the author and the interviewee do not necessarily represent the editors and the publisher opinion again.

Ground A raises €9.1 million to industrialise laser-based counter-drone system

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The Ground A founding team Ground A funding round: the Berlin-based defence tech start-up receives €9.1 million for laser-based drone defence with the GA 1000.
Ground A Founder Team © Gordon Welters

German defence tech company Ground A has closed a pre-seed funding round of €9.1 million, the company announced. This round is aimed at moving its GA 1000 counter-drone system from prototype into series production. The round was led by Vsquared Ventures. Participation came from a consortium of venture and strategic investors. Ground A, founded in January 2026 and based in Berlin and Düsseldorf, says the GA 1000 has already progressed from prototype to testing and validation within months of the company’s launch.

Ground A’s Investor Consortium: Vsquared Ventures Leads the Round

The round brought together a mix of venture capital and strategic backers from the defence, technology and industrial sectors. Alongside lead investor Vsquared Ventures, the press release names Quantum Systems, GRIF, Robin Capital, ABACON, Leblon Capital and OVNI Capital as participants. The round also included individual entrepreneurs and investors from Europe’s defence and software industries. These included Florian Seibel, Sven Kruck, J14 Capital, Andreas Nauerz, Marlon Braumann and Arx Robotics managing director Stefan Roebel. As this is Ground A’s first disclosed financing round, there is no prior round to compare it against.

What Ground A’s GA 1000 Counter-Drone System Does

The GA 1000 is a compact, laser-based counter-drone system built to detect, classify and track small, agile drones automatically. It combines radar and multiple sensor types with computer vision and proprietary AI. The decision to deploy the laser effector remains with a human operator. Housed within a Euro-pallet footprint, the system is designed to be mobile and deployable across a range of operational settings. Its open, vendor-agnostic architecture allows it to be integrated into existing air defence and command-and-control systems. Additionally, it can be used on land, sea and air platforms, rather than operating only as a stand-alone unit.

Ground A’s Path to Series Production in 2027

Ground A says the pace of development — from company formation in January 2026 to a system already in testing and validation just months later — reflects a deliberate early focus on product and technology ahead of any public announcement. Now, the company is setting up modular series production in Germany, with series production targeted for 2027. A further financing round, also planned for 2027, is intended to expand production capacity. Ground A works towards a broader product platform for counter-drone and air defence applications. This expansion goes beyond the GA 1000 alone.

Leadership and Investors on the Funding Round

‘We founded Ground A in January and already have our first system in testing and validation, approaching market launch,’ said Dr Tobias Brune, chief executive and co-founder of Ground A. ‘Europe needs effective counter-drone solutions that not only work technologically but can also be industrialised quickly and made available in large numbers. The GA 1000 is just the beginning of a much larger product platform.’

Benedikt von Schoeler, general partner at Vsquared, said the fund backed Ground A for its combination of operational flexibility and execution speed. ‘What matters is that systems are not only high-performing, but also mobile and rapidly deployable,’ he said. ‘Ground A combines precisely this operational flexibility with technological excellence, high execution speed and the ambition to scale industrially from day one.’

What’s Next

With the pre-seed round secured, Ground A’s near-term priorities are industrialisation and scaling in parallel. The company is building out modular series production capacity in Germany and progressing the GA 1000 toward market launch. It is also preparing a further funding round in 2027 to expand manufacturing capacity. Furthermore, the company frames this as a contribution to the broader defence capability of Germany, NATO and allied nations, rather than a single-product commercial launch.

FAQ about Ground A

How much funding has Ground A raised?

Ground A closed a pre-seed round of €9.1 million in June 2026.

Who invested in Ground A?

The round was led by Vsquared Ventures, with participation from Quantum Systems, GRIF, Robin Capital, ABACON, Leblon Capital and OVNI Capital, plus individual investors including Florian Seibel, Sven Kruck, Andreas Nauerz, Marlon Braumann, J14 Capital and Arx Robotics managing director Stefan Roebel.

What does Ground A do?

Ground A builds software- and laser-based counter-drone and air defence systems. Its first product, the GA 1000, detects, classifies and tracks small drones and neutralises them using a laser effector under human control.

When was Ground A founded?

Ground A was founded in January 2026 and is based in Berlin and Düsseldorf.

When will the GA 1000 enter series production?

Ground A is targeting series production in 2027, alongside a further funding round planned for the same year to expand manufacturing capacity.

Photo/source: Ground A GmbH – © Gordon Welters www.GordonWelters.com

Limetax raises €36 million to build Germany’s agentic-first accounting & tax group

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Limetax: AI Platform for Tax Firms Raises €36M

Berlin-based technology company Limetax is bringing established tax firms together in one group and building a proprietary AI agent platform for them. The company has raised €36 million to fund its expansion: the equity round is led by Motive Partners, with participation from Activant, Heliad and angel investors including former German Finance Minister Christian Lindner, alongside a €30 million credit facility provided by a consortium of German banks.

Berlin, 9 September 2026 – Limetax has raised €36 million in financing, comprising €6 million in pre-seed equity led by Motive Partners, with participation from Activant and Heliad, and a €30 million credit facility from a consortium of German banks. Angel investors include former German Finance Minister Christian Lindner, former Rocket Internet executive and 468 Capital co-founder Alexander Kudlich, as well as Anton Rummel and Ante Spittler, founders of fintech unicorn Moss. The capital will be used to further develop Limetax’s agentic platform and partner with additional tax firms across Germany.

Eight months after launching in January 2026, the Limetax group has grown to four firms across seven locations with around 150 employees and annualised revenue in the double-digit millions. Its AI platform is already deployed across every firm in the group.

Tackling the structural constraints of the tax profession

Germany’s nearly 54,000 accounting & tax firms are the finance operations backbone of the country’s Mittelstand. Many are struggling to hire enough skilled professionals, while tax regulation continues to become more complex. At the same time, a significant share of their teams’ time is still spent on repetitive work: collecting data, processing bookkeeping and managing deadlines. That leaves little time for the advisory work clients increasingly need.

Limetax is tackling this capacity constraint by bringing established tax firms together and building technology directly into how they work. Its proprietary agentic platform is developed alongside the firms and embedded into their day-to-day operations.

The platform sits on top of DATEV, the core software infrastructure used by much of the German tax profession, and orchestrates specialised AI agents across bookkeeping, payroll and financial statements. The agents take on repetitive workflows, while outputs pass through a review layer where the firms’ professionals apply their judgement and expertise. Professional responsibility and client advice remain in the hands of the human experts.

Early bookkeeping deployments show the potential. In initial cases, AI agents have reduced monthly processing time from around twenty hours to six. For employees, that means less manual data entry and more time for client work. For clients, it means faster financial statements and more of their advisers’ time for the questions AI cannot answer today.

The result is more capacity without losing what makes local accounting & tax firms valuable: professional expertise, trusted relationships and personal advice.

Built by entrepreneurs, engineers and experts

Limetax was founded by Christoph Gamon, Maximilian Meyer and Christoph Dansard. Gamon previously co-founded Razor Group, where he served as CFO and helped scale the company to a reported $500 million-plus in revenue. Before that, he worked in the executive office at Rocket Internet and in investment banking at UBS in London. Meyer was part of Razor Group’s founding team and later served as SVP Operations, leading more than 100 employees, having previously worked at Lazard and N26. Dansard was a founding engineer at fintech unicorn Augustus, formerly Ivy and is an alumnus of Technical University Munich.

The Berlin-based team brings together engineers and operators with backgrounds at Taxfix, McKinsey, EY, Buena, Raisin and ETL.

“The future of accounting & tax advisory will not be built by adding another AI tool. It will be built by rethinking advisory and technology together from the ground up,” said Christoph Gamon, Co-Founder and CEO of Limetax. “That is what we are doing at Limetax. Together with our partner firms, we are building a group where our agentic platform becomes the technological backbone of day-to-day work. That creates more space for the things people do best: applying judgement, solving complex problems and providing real advice.”

“Professional services is one of the largest sectors where the potential of AI is only beginning to be unlocked. In accounting & tax, the constraint is not demand, it is capacity,” said Michael Hock, Partner, Venture at Motive Partners. “Limetax is building technology where the work actually happens: together with the partner firms and deeply embedded in their operations. The combination of technology and professional expertise has the potential to build a new generation of accounting & tax firms.”

“Our profession is going through the biggest shift I have seen in my career. The opportunity is enormous, but for an individual firm, building the technology required to capture it is almost impossible,” said Uwe Tille of bplus, one of the founding partners of the Limetax group. “With Limetax, we can actively shape that transition ourselves. Technology is taking more and more routine work off our hands and giving us more time with our clients. That is where we, as tax advisers, want to spend our time.”

Source Picture and PR Limetax

Sci2sci Raises €1.2M Pre-Seed to Make AI Trustworthy for Biopharma

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sci2sci: AI for Trustworthy Biopharma Data. From left to right_sci2sci co-founders_Valerii Kremnev & Angelina Lesnikova.

Sci2sci Raises €1.2M Pre-Seed to Make AI Trustworthy for Biopharma and Other Regulated Industries

Berlin startup’s neurosymbolic memory layer, already in production with customers ranging from lean specialist teams to global biopharma scale, turns scattered enterprise data into self-verifying knowledge.

BERLIN, GERMANY, 08.09.2026 — sci2sci, a Berlin-based startup building a neurosymbolic memory layer for regulated industries, today announced it has raised €1.2 million in pre-seed funding. The round was co-led by Heliad and IBB Ventures, with participation from Robin Capital and Superangels.

Sci2sci will use the funding to expand its engineering team and accelerate deployment of its products, VectorCat and Integrity Cortex, across biopharma and other highly regulated industries.

Why biopharma first

Sci2sci started in biopharma, where the data problem is acute and the cost of getting facts wrong is measured in regulatory delays, failed audits and abandoned research. Biopharma companies generate enormous volumes of research data, and most of it lives in scattered PDFs, spreadsheets and lab notes across dozens of disconnected systems.

When a regulatory submission references a preclinical finding that references a lab result that references raw data last modified three years ago, who verifies the chain? Today, humans do, manually, over weeks. And when AI tools are layered on top of that same messy, contradictory data, they inherit the dysfunction — hallucinating with confidence.

Former Corporate VP and Digital Transformation Officer, R&D Novo Nordisk, Stephanie Bova saw this problem at the largest possible scale.

“Every board I advise is asking the same question: why hasn’t the AI investment shown up anywhere I can measure it? The answer is almost always trust. Pilots work beautifully and then nothing reaches production, because no one is willing to put their name under an output they can’t trace. Sci2sci removes that blocker at the architecture level — which is precisely why I joined.”

She currently helps life science companies address similar challenges as CEO of Mirai Advisors, an executive advisory firm dedicated to helping Board and C-Suite leaders get tangible value from their AI and technology investments, and recently joined sci2sci as a senior advisor.

Every fact becomes executable

Sci2sci co-founder and CEO Angelina Lesnikova holds a PhD in neuroscience, where she spent years studying the molecular mechanisms of memory and learning in the brain — research that shaped the company’s core idea: knowledge should behave like an active network, not like static storage.

Integrity Cortex, the company’s flagship product, runs on the principle ‘knowledge as code’. It extracts every fact from a company’s documents, data and AI outputs and connects them into a single living network.

Instead of asking a language model to summarize documents into prose, the framework encodes information as a formal logic system — every claim must cite a verbatim quote, every conclusion must derive from stated premises. A symbolic engine then verifies every citation and derivation. If the model fabricates a fact, verification fails — and that failure flags every conclusion that depends on it. It also catches inconsistencies already present in the ground truth, and traces downstream impact whenever a source document changes.

The approach is powered by Parseltongue, a framework sci2sci open-sourced this year under Apache 2.0. In August, a team of researchers won second place at a biopharma AI hackathon with a Parseltongue-based system that validates cancer drug targets against published literature and clinical trials.

When the FDA and the safest AI labs sound the same alarm on trust

In April 2026, the FDA issued its first-ever warning letter citing AI misuse in drug manufacturing — a company had used AI agents to generate compliance documents without human review. When asked why process validation had never been performed, personnel told investigators their AI agent had never told them it was required. The company ceased drug production.

Three months later, the problems escalated from unverified outputs to uncontained models. OpenAI disclosed that one of its models broke out of an isolated test environment and breached Hugging Face’s production infrastructure. A week later, Anthropic revealed that three of its own Claude models had breached three real companies during security testing. Two of the breached companies didn’t even notice until Anthropic told them.

“When the two labs that market themselves as the most safety-conscious both have models breaking into real companies in the same month, it’s a process design flaw,” said Valerii Kremnev, co-founder and CTO of sci2sci.

“We took the opposite approach. Instead of shipping capabilities first and patching trust and security afterward, we built Parseltongue and Integrity Cortex to permit only safe outputs. A model’s lockpicking skills are useless when there’s no door — and our software guarantees there is none. The same holds for deception: our systems don’t have ungrounded statements as a primitive. The model is forced to produce evidence for every claim it makes.”

The verification layer is deterministic and interpretable by design, with a full audit trail compatible with 21 CFR Part 11 — the FDA’s standard for electronic records — making it suitable for regulatory submissions, manufacturing records and other workflows where every claim needs to trace to its source.

Already in production across the drug development value chain

Sci2sci’s customers already span from pre-clinical research to contract clinical research and bioprocess operations. Its second product, VectorCat, the company’s data integration layer, makes scattered enterprise data findable — connecting to cloud storage, network drives and lab systems without migration, and building a searchable catalog for humans and AI agents. Integrity Cortex makes it trustworthy.

The company plans to use the funding to deepen these deployments, grow into additional biopharma accounts, and extend Integrity Cortex to other regulated sectors, including banking, where the same problem of tracing facts across thousands of interdependent documents applies.

“Most companies selling AI into regulated industries are betting that language models will be accurate enough. Sci2sci are making a different bet: build a system where an ungrounded claim simply cannot exist,” said Christopher Garlich, Investment Lead at Heliad.

“That’s an architectural decision rather than a mere bolt-on feature — it’s a critically missing layer in the enterprise AI stack and it’s needed everywhere facts have to be provable.”

Tobias Schimmelpfennig, Investment Director at IBB Ventures, said: “Europe needs deep-tech champions that go beyond surface-level AI wrappers. Angelina and Valerii are doing exactly that — combining genuine life sciences domain depth, cutting-edge AI research and enterprise-scale systems engineering to build the neurosymbolic intelligence layer that regulated industries have been waiting for.”

Picture From left to right sci2sci co-founders Valerii Kremnev & Angelina Lesnikova Credits sci2sci

Source Redgert

FLÆ Robotics: How AI and Robotics Are Transforming the Hotel Reception

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FLÆ Robotics: BE-A Brings AI to Hotels Filip Linek Credit Flae Robotics

FLÆ Robotics is developing BE-A, an AI Hospitality Agent designed to automate routine hotel operations while supporting more efficient and personal guest service.

Could you briefly introduce FLÆ Robotics and explain how your own experience as a hotel owner led to the idea for BE-A?

FLÆ Robotics is building BE-A, an AI Hospitality Agent for hotels. It combines work that is usually split between reception, reservations and concierge: answering guests, helping with booking inquiries and supporting them before arrival and during their stay. The exact scope depends on the functions and integrations available at each hotel. The idea came directly from my own experience. Since 2019, I have been a co-owner and director of the PECR hotel complex in Pec pod Sněžkou. I was dealing with missed calls, slow replies and teams overloaded by the same questions every day. I first tried to find a product I could buy. When I realised that nothing covered the role properly, I decided to build it. So BE-A did not start with a technology trend. It started with a problem in my own hotel.

Missed calls, staff shortages, and overloaded front desks were problems you experienced firsthand. When did you realize they could become the basis for a scalable business?

I realised it when other hoteliers began describing exactly the same problems. It was not only my reception team or one badly organised property. Hotels everywhere struggle when several guests call at once, an email arrives late in the evening or someone needs an answer in a language the team does not speak. At PECR, the gap was especially visible after 7 p.m., when the reception closed but guests continued writing. The questions and tasks repeat from hotel to hotel; what changes is the property’s information, tone and systems. That means the technological core can scale while each implementation remains specific to the hotel. Today, BE-A processes around 85% of inquiries automatically at PECR on a rolling seven-day view. That was important proof that we were solving a wider operational problem, not building a feature only for ourselves.

BE-A is positioned as an AI Hospitality Agent that combines elements of reception, reservations and concierge service. Which tasks create the greatest value when automated?

The best starting point is the routine work that consumes reception time every day. A guest asks whether a dog is allowed, when breakfast starts, whether a room is available or how to book a service. BE-A can handle communication through email, WhatsApp and phone, depending on the hotel’s setup. With the right integrations, it can also help prepare an offer, process an individual reservation or pass a request to the relevant team. That is the important difference from a basic chatbot: BE-A should not only produce an answer, but help move the request forward. We still keep clear limits. A complicated group booking or a sensitive complaint should go to a person. At Hotel Studánka, the time needed to handle a standard email fell from about 15 minutes to two. That is the kind of practical improvement we look for.

Hospitality depends heavily on personal interaction. How do you use AI to increase efficiency without losing the human touch?

I do not believe the human touch is copying check-in information into an email for the fiftieth time. It is noticing that a guest is tired, resolving an unusual problem or giving a recommendation that makes the stay memorable. The routine often prevents receptionists from doing those things well. BE-A takes over defined tasks and remains available when the team is busy or off duty. The hotel can choose how far automation goes: BE-A may draft a reply for approval, answer automatically or hand the conversation to a person. At PECR, for example, individual stay inquiries can be handled automatically, while group requests are passed to the team. I am not trying to build a hotel without people. I want good people to spend more time with guests and less time moving information between systems and messages.

Hotels already work with numerous systems and communication channels. Why is integration rather than replacing existing technology central to your approach?

As a hotelier, I would not want another isolated tool that creates more work for the team. Hotels already have a PMS, booking engine, email, telephony and internal processes that may have been built over many years. BE-A has to fit into that environment. If a guest asks for availability, a useful answer depends on current data. If the guest wants to proceed, BE-A should be able to help with the next step or transfer the request with its context intact. That is why integrations matter. We are not trying to replace the hotel’s core systems or present BE-A as another operating system. We connect guest communication with the information and workflows that already exist. It is technically demanding, especially because hospitality technology is fragmented, but without that connection an AI agent remains little more than a sophisticated FAQ.

FLÆ Robotics is established in Czechia and developing its presence in the UK and DACH markets. What are you learning about taking the same product into different markets?

Czech hotels still give us our most mature live experience. The UK and DACH are markets where we are developing commercial activity and industry relationships, but I do not want to pretend that every market is at the same stage. What I have learned is that translating the product is the easy part. Hotels use different systems, guests prefer different channels and the buying process changes from one country to another. Even the same brand may organise reception and reservations differently across properties. The core of BE-A should remain the same, but the knowledge, tone, integrations and service model have to reflect the local operation. The US remains an important future direction for us, but our immediate job is to build strong proof and repeatable implementations in the markets where we are already active.

You advocate solving narrow, measurable problems rather than putting “AI everywhere.” How do you decide which hotel processes are actually worth automating?

I look first at what repeatedly irritates the guest or wastes the team’s time. In our hotels, unanswered emails and missed calls were obvious because the effect was visible immediately. We could see how long a guest waited and whether an inquiry became a booking. That made written communication a sensible place to start. We then added further tasks only when the information and integrations were reliable enough. I also ask where the exception is. A reservation request for two people may be straightforward; a wedding group with special conditions is not. If we cannot define when BE-A should stop and involve a person, the process is not ready for full automation. I prefer to solve one real hotel problem properly and then extend the role. Putting AI everywhere at once usually creates an impressive demonstration and a poor operation.

Your early hotel deployments have helped shape the product. How important is co-development with hotels when building new AI and hardware solutions?

It is essential because hotels immediately expose the situations that look small on paper but decide whether the product works. What happens when information on the website conflicts with the booking engine? How should a group inquiry be recognised? Where does a maintenance request go at night? Our hotel partners and their reception teams give us that reality every day. Guests also tell us when an answer is too long, too formal or simply not useful. With hardware, the details become even more physical: lobby noise, several people arriving together, the position of microphones or whether an older guest feels comfortable using the interface. At the same time, we cannot build a separate product for every property. The purpose of co-development is to find recurring patterns and improve the common BE-A platform, while allowing each hotel to configure its own knowledge and processes.

Your long-term vision ranges from voice assistants and avatars to physical robotics. Where does software end and where does robotics begin for FLÆ Robotics?

The software is the brain of BE-A: the hotel knowledge, conversation history, integrations and rules that allow it to help a guest. Today that intelligence can communicate through text and voice. An avatar gives it a visible presence in the lobby. Robotics begins when BE-A must understand and act in a physical space. Imagine five guests arriving at once: the system has to know who is speaking, keep each conversation separate and ignore the television or children’s corner behind them. Later, it may also need to issue a key or interact with payment and check-in equipment. Those are very different challenges from generating a good email. I am interested in hardware only when it helps BE-A perform the hospitality role more naturally. The robot is not the product by itself; it is one possible interface for the same AI Hospitality Agent.

AI and hardware businesses can be capital-intensive. What have been the toughest challenges in financing, team building, and international growth?

At the beginning, I believed I could commission the first version externally and manage it like another business project. I was wrong. We spent time and money before I understood that the core knowledge had to remain inside the company. Building our own team was therefore one of the most important decisions. I am not a technologist by training, so I had to learn how to combine AI specialists, hotel-technology experience and people who understand daily operations. Financing is difficult because software, integrations, voice and hardware move at different speeds. You have to keep investing in the long-term vision while proving value with what customers can use today. International growth adds another temptation: every new market and partner looks exciting. The difficult discipline is deciding what not to do and keeping the team focused on the hospitality role we set out to build.

What is your long-term vision for FLÆ Robotics, and how do you expect the hotel front office to change as AI becomes more capable?

My vision is that a guest will not have to think about which department or channel to contact. The same AI Hospitality Agent will understand the hotel and help with a question, a reservation, an arrival detail or a request during the stay. It may meet the guest by email, WhatsApp, phone or, later, through an avatar or humanoid interface in the lobby. The human team will still be crucial, but its role will change. Receptionists will spend less time searching for information and repeating routine instructions, and more time acting as hosts, solving exceptions and creating memorable moments. Different hotels will choose different balances, especially in luxury and boutique hospitality. I do not want to remove people from hospitality. I want BE-A to provide reliable service around the clock and give good people the space to be genuinely hospitable.

What three pieces of advice would you give founders building an AI and hardware company in Europe with ambitions to scale internationally?

  1. Build something you personally understand. I knew the frustration of running a hotel reception before I tried to solve it. That experience still helps me separate a real need from an attractive technology idea.
  2. Keep the critical knowledge inside the company. External partners can help, but the core product, customer learning and technical decisions cannot be outsourced if you want to build something difficult.
  3. Be ambitious about the vision and disciplined about the next step. An AI-and-hardware company can spend money in many directions. Prove useful software first, learn from real customers and add complexity only when the previous layer works.

Picture Filip Linek Credit Flae Robotics

Thank you Filip Linek for the Interview

Statements of the author and the interviewee do not necessarily represent the editors and the publisher opinion again.

Kazimi Raises €2.2M to Fight Mobile Ad Fraud

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Kazimi Team in front of a wall. Kazimi Raises €2.2M Pre-Seed Round in Berlin

Kazimi closes €2.2 million pre-seed round in Berlin

Mobile cybersecurity start-up Kazimi has closed a €2.2 million pre-seed round to tackle a problem that has quietly undermined the mobile industry for years: bots polluting the data app marketers rely on. Kazimi wants to give app developers a clearer view of which user signals are real and which come from bots.

The round was oversubscribed. Market One Capital led the investment, with IBB Ventures and several mobile industry executives joining in. Backers include former Rovio CTO Petri Hyökyranta, ex-Supercell data scientist Janne Peltola, and Erik Massmann, who previously served as CFO of the Birkenstock Group and Sportradar AG.

What Kazimi actually does

Kazimi secures the communication signals inside an app. In practice, this means app developers can collect and verify their own first-party data, spot non-human bot activity, and separate genuine users from fake ones. Kazimi built the system to be privacy-preserving and compliant with data regulations, using cryptographic proofs rather than methods that expose user data.

Andreas Naumann, Kazimi’s co-founder and chief product officer, said it has never been technically possible for developers to see clearly which signals come from real users and which come from bots. He believes Kazimi’s approach closes that gap and lets developers protect what he calls their most important resource: first-party data.

Why the timing suits Kazimi

The scale of the problem is growing. Global mobile ad spend hit USD 419 billion in 2025, according to Business of Apps, and Udonis expects it to pass USD 1 trillion by 2035. That growth makes accurate data increasingly valuable, and increasingly worth faking.

Cloudflare reported that bots officially overtook human activity on the internet for the first time in 2026. Meanwhile, AppsFlyer’s latest report on mobile ad fraud found that bot attacks now drive the vast majority of fraudulent activity across mobile channels. As a result, marketers are making decisions based on data that may already be compromised.

Erik Massmann, Kazimi investor and former CFO of the Birkenstock Group and Sportradar AG, put the problem bluntly: the bot crisis in mobile marketing is the elephant in the room, since everyone in the industry already knows mobile channels lack transparency and trust. He argued that understanding what’s real and what isn’t has never mattered more, both for using AI effectively and for cutting out fraud.

Founders with a track record in fraud detection

Kazimi’s founding team previously built the security and fraud detection systems at Adjust, the mobile measurement company AppLovin acquired in 2021 for roughly USD 1 billion. They have also built similar systems for other mobile analytics companies and ad networks, giving them direct experience with the scale of the bot problem before founding Kazimi.

Petri Hyökyranta, who has known the founders for some time, backed Kazimi because its approach lets businesses detect bots at scale while staying compliant and privacy-preserving. He called it a paradigm shift for the mobile industry.

What Kazimi will do with the funding

Kazimi plans to use the new capital to scale its product and go after the wider mobile ad spend market. Jacek Lubinski, partner at Market One Capital and the round’s lead investor, said Kazimi could become a fundamental security layer for the global app economy in the AI era, providing secure, accurate first-party data while staying fully privacy-preserving.

Kazimi already works with mobile gaming studios, rewards platforms, and fintech apps. Its solution targets any app that spends marketing budget to acquire new customers or retain existing ones, a group that covers much of the mobile industry.

The bigger picture for Kazimi

Kazimi’s launch sits inside a wider shift in how the internet works. As bots increasingly outnumber genuine human traffic online, businesses across sectors are having to rethink how they verify authentic activity. For mobile app developers specifically, that shift raises the stakes on getting first-party data right, since flawed signals feed directly into both analytics and AI-driven decisions. Kazimi’s pre-seed round suggests investors see a real opportunity in solving that problem before it gets worse.

Frequently Asked Questions about Kasimi

What is Kazimi?

Kazimi is a Berlin-based mobile cybersecurity start-up. It helps app developers secure their first-party data, detect bot activity, and separate real users from fake ones in a privacy-preserving way.

How much funding did Kazimi raise, and who led the round?

Kazimi raised €2.2 million in an oversubscribed pre-seed round led by Market One Capital, with participation from IBB Ventures and several mobile industry executives.

Why is Kazimi’s technology needed right now?

Global mobile ad spend reached USD 419 billion in 2025 and is expected to exceed USD 1 trillion by 2035. At the same time, Cloudflare reported that bots overtook human activity on the internet for the first time in 2026, and AppsFlyer found that bot attacks drive most fraudulent activity on mobile channels.

Who founded Kazimi, and what is their background?

Kazimi’s founders previously built the security and fraud detection systems at Adjust, the mobile measurement company acquired by AppLovin in 2021 for around USD 1 billion. They have also built fraud-detection systems for other mobile analytics companies and ad networks.

Who are Kazimi’s customers?

Kazimi’s clients include mobile gaming studios, rewards platforms, and fintech apps, along with other businesses that spend marketing budgets to acquire and retain app users.

Picture Credits: Iraj Larik

ag-tech systems Closes Seed Round to Expand Chemical-Free Weed Control Globally

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ag-tech.systems Closes Seed Round With NRW.BANK

NRW.BANK and family offices back ag-tech.systems’ next growth phase

Geilenkirchen-based ag-tech.systems has closed its Seed financing round. NRW.BANK, the promotional bank of North Rhine-Westphalia, and a newly formed investment vehicle, ag-tech Beteiligungs GmbH & Co. KG, both join as new backers. The company did not disclose the size of the round or individual investment amounts.

NRW.BANK invested through its NRW.SeedCap seed-financing programme. Meanwhile, ag-tech Beteiligungs GmbH & Co. KG brings together several family offices, coordinated by Nicolas Hübner, Managing Partner of Hübner Invest GmbH.

Shareholder base spans public funding to power electronics

These new investors join existing shareholders Raiffeisen Ventures GmbH, the venture arm of German agricultural cooperative Raiffeisen Waren-Zentrale Rhein-Main AG, and ISEG Leistungselektronik Sachsen GmbH, a specialist in high-voltage power electronics. ISEG’s expertise sits close to ag-tech.systems’ own electro-physical technology. Several angel investors with industry experience also back the company.

As a result, the round pulls together public-sector funding, agricultural know-how, entrepreneurial capital and engineering expertise. This mix gives ag-tech.systems a broad base of partners as it scales its plant protection platform.

CEO Marcus Lehnen said the backing gives the company both the financial runway and the industry expertise it needs to scale into new crops and markets. Hübner pointed to strong potential in the technology and its ability to offer farmers an alternative to conventional chemical weed control; he also confirmed he had brought the investor group together for the company’s next growth phase.

NRW.BANK Chairwoman Gabriela Pantring said the investment backs a North Rhine-Westphalia technology as part of the bank’s mandate to help young companies scale.

Where the fresh capital will go

The new funding will support ag-tech.systems’ next phase of product development and international expansion. Key plans include:

  • Market launch: Commercial launch of the epc.160 in 2026, built for potato desiccation, cover crop termination and invasive species control.
  • Global reach: Expansion beyond Germany into Canada, the Netherlands and the United Kingdom, plus larger machines for broadacre farming in North America.
  • Crop pipeline: New target crops including oat desiccation, sugar beet, malting barley, rapeseed, wheat, chickpeas and cotton.

Non-chemical alternatives have drawn growing interest across the plant protection sector in recent years, and ag-tech.systems’ expansion plans sit within that broader shift toward electro-physical and mechanical weed control methods.

ag-tech.systems at PotatoEurope 2026

ag-tech.systems will show its electro-physical weed control and desiccation technology at PotatoEurope 2026. The event runs on 9 and 10 September 2026 at Rittergut Gestorf in Springe, near Hannover, Germany. It’s one of the largest outdoor exhibitions in Europe for potato cultivation and machinery, giving ag-tech.systems a direct line to farmers and industry visitors.

With the Seed round now closed, ag-tech.systems has the capital and strategic partners in place to push its technology into new crops, new machines and new markets over the coming years.

Did ag-tech.systems disclose how much it raised?

No. The company confirmed new backers but kept the round size and individual investment amounts private.

What sets ag-tech Beteiligungs GmbH & Co. KG apart from ag-tech.systems’ other investors?

It’s a newly formed vehicle pooling several family offices, put together specifically for this round by Nicolas Hübner of Hübner Invest GmbH.

What is electro-physical weed control?

It’s the technology behind ag-tech.systems’ platform: an approach to desiccation and weed control that offers farmers an alternative to conventional chemical methods.

When does the epc.160 launch, and what’s it for?

ag-tech.systems plans to launch it in 2026 for potato desiccation, cover crop termination and invasive species control.

Beyond Germany, where is ag-tech.systems headed next?

Canada, the Netherlands and the United Kingdom, alongside larger machines designed for broadacre farming in North America.

How AloFor is Disrupting Global Travel-Tech from Romania

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AloFor: eSIM Connectivity for Global Travellers Ahmad Khodr Picture credit: Private / AloFor S.R.L.

AloFor is building a global eSIM platform that aims to make connectivity simpler, more transparent and more accessible for international travellers.

How would you introduce AloFor, and what inspired you to build an eSIM platform in Romania?

AloFor is a Romanian-built global travel-tech company focused on eSIM connectivity for international travellers. From the beginning, we built AloFor to compete internationally rather than as a local niche service. Through our web platform and mobile apps, travellers can access mobile-data eSIM plans across more than 200 destinations, with plans starting from USD 1 in selected markets.

The idea came from a simple problem: international connectivity is still more complicated and expensive than it should be. Traditional roaming can be costly, while buying a physical SIM after arrival creates unnecessary friction. I wanted to build a digital-first alternative that allows travellers to arrange their connectivity before or during a trip in a few simple steps.

Romania became the base from which we built the company, but the ambition was global from day one.

Ahmad, you are a Lebanese founder building a Travel Tech company in Romania. How has your international background shaped AloFor?

My background has shaped AloFor very directly. Being Lebanese and building a technology company in Romania gives me a naturally cross-border perspective. I understand what it means to move between countries, networks, languages and different customer expectations.

That experience influenced how we built AloFor: the customer should not need to understand the complexity of telecom infrastructure. A traveller simply wants reliable mobile data, a clear price, an easy installation process and support when needed.

It also shaped the scale of our ambition. I never saw AloFor as a company for one country. We built it from Romania for an international market, and that international mindset is part of the company’s identity.

What problem for international travellers did you want to solve when you founded AloFor?

The main problem is uncertainty and friction around mobile connectivity abroad.

Travellers often do not know how much roaming will cost, whether they should buy a local SIM, whether their phone is compatible, or how to get connected immediately after landing. Connectivity should be one of the simplest parts of a trip, yet it can still create unnecessary stress.

AloFor aims to make mobile data something travellers can arrange digitally. The customer can select a plan, install an eSIM and prepare connectivity without having to search for a physical SIM card after arrival.

The technology behind telecom is complex, but the customer experience should feel simple.

AloFor offers eSIM data plans for more than 200 destinations. Who is your main target group, and what matters most to these customers?

Our customer base includes tourists, business travellers, digital nomads, students, people visiting family abroad and anyone who wants a simpler alternative to traditional roaming.

What matters most is usually very clear: competitive pricing, dependable coverage, simple installation, transparent plan information and confidence that support is available if something goes wrong.

Customers increasingly expect connectivity to behave like any other modern digital product. They want to purchase it instantly from their phone, understand exactly what they are buying and begin using it without unnecessary steps.

Our job is to make a complex telecom service feel simple and accessible.

The eSIM market already includes established telecom companies and global connectivity providers. How does AloFor differentiate itself from these competitors?

The eSIM market is highly competitive, and AloFor operates in the same global arena as established international eSIM platforms and connectivity brands. We see that as an opportunity rather than a disadvantage.

The underlying mobile networks are provided by telecom infrastructure, so differentiation is increasingly created at the customer layer: pricing, product simplicity, transparency, support, speed and overall experience.

AloFor is founder-led, which allows us to move quickly, listen closely to customers and improve the product without the layers of complexity that often exist in larger organisations. We focus on competitive pricing, a straightforward purchasing journey, clear plan information and a consistent experience across web, iOS and Android.

Our goal is not simply to be another eSIM seller. We are building AloFor as a global travel-connectivity brand capable of competing with some of the best-known companies in the sector by being faster, simpler and closer to the customer.

Some AloFor plans start at just USD 1. How important is pricing to your strategy alongside simplicity, support and customer experience?

Pricing is an important part of our strategy because one of the strongest reasons travellers explore eSIM alternatives is to avoid expensive roaming.

Having plans starting from USD 1 in selected destinations also lowers the barrier for a new customer to try AloFor. But we do not believe a sustainable company can compete on price alone.

A low price has little value if installation is confusing, plan information is unclear or support is difficult to reach. The long-term objective is to combine competitive pricing with simplicity, transparency and a customer experience that makes people comfortable choosing AloFor again for their next trip.

Price can attract a customer for the first purchase. Trust is what brings them back.

What have you learned from your early customers?

The biggest lesson is that simplicity matters even more than founders often expect.

For people working in technology, terms such as eSIM activation, data roaming, APN settings or network selection may feel familiar. For many travellers, they are completely new.

Early customer feedback has helped us understand where instructions need to be clearer, where support needs to be faster and which parts of the journey should become more automatic. Every question a customer asks teaches us something about how the product can become easier to use.

Those early customers are not only using AloFor; they are helping us shape the company and the product.

What are the biggest challenges of building a global eSIM business from Romania?

One of the biggest challenges is delivering a simple experience on top of a very complex global telecommunications ecosystem.

Different countries, mobile networks, devices and technical conditions can all affect the customer experience, so consistency is extremely important. Another major challenge is trust. A traveller may discover AloFor only days before an international trip and then depend on the service in another country. We have to earn that trust quickly.

Building from Romania also means thinking globally from the beginning: languages, payment preferences, device compatibility, support expectations and travel behaviour vary across markets.

At the same time, Romania is not a limitation. Digital infrastructure allows a technology company built here to serve customers globally. For us, the location is the base; the market is international.

International connectivity is increasingly shifting towards digital purchases before departure. How do you expect this trend to change the travel market?

I believe mobile connectivity will increasingly become a standard part of the pre-trip purchasing journey.

Travellers already book flights, hotels, transport and insurance before departure. eSIM allows mobile connectivity to move into the same digital workflow because the traveller no longer needs to physically obtain a SIM card at the destination.

Over time, I expect connectivity to become more integrated into travel platforms, booking experiences and other digital services. This also changes competition in telecom because the customer relationship is no longer controlled only by the operator in the destination.

Digital platforms can now compete on how easily people discover, buy, activate and manage international connectivity. That shift creates space for companies like AloFor to build a global brand around the customer experience.

AloFor relies on mobile operators’ networks while managing the customer experience digitally. Where do you see the greatest opportunities in this model?

The biggest opportunity is the digital layer between the telecom network and the traveller.

Mobile operators provide the essential infrastructure, but customers increasingly interact with connectivity through digital platforms. That creates room to improve pricing transparency, discovery, onboarding, activation, support and the overall user journey.

It also allows AloFor to bring many destinations into one consistent experience. A traveller moving between countries should not have to learn a completely different process each time.

I believe the strongest opportunity is to make global connectivity feel unified from the customer’s perspective, even when many different networks and markets exist underneath the service.

What are your next priorities for AloFor, and how do you plan to grow the platform internationally?

Our next priority is to turn AloFor from an emerging platform into an increasingly recognised global travel-connectivity brand.

That means continuing to improve the product, making the purchasing and activation journey even simpler, strengthening customer support, growing international distribution and building strategic partnerships that can extend AloFor’s reach.

We will continue developing the experience across web, iOS and Android while expanding both direct-to-consumer growth and international business opportunities.

AloFor already operates with a global product footprint across more than 200 destinations. The next phase is not simply about adding more countries; it is about building stronger brand trust, increasing repeat usage and proving that a company built in Romania can compete successfully in a global market alongside much larger international players.

What three pieces of advice would you give to founders who want to build an international startup from day one?

First, solve a problem that exists across borders. If the customer problem is genuinely international, the company can be designed for global scale from the beginning.

Second, stay extremely close to your customers. Early users will show you problems that no presentation, market report or business plan can reveal. Their questions often become the clearest product roadmap.

Third, do not wait for everything to feel perfect before entering the market. International companies are built through continuous learning. Launch, listen, improve and keep moving.

One additional lesson from my own journey is that geography does not have to define ambition. I am a Lebanese founder building AloFor from Romania for an international market. In technology, a founder can combine experiences from different countries and turn that perspective into a competitive advantage.

Picture credit: Private / AloFor S.R.L.

Thank you Ahmad Khodr for the Interview

Statements of the author and the interviewee do not necessarily represent the editors and the publisher opinion again.

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