Applications are open for the AI Entrepreneurs Lab 2026, an intensive founder programme designed to help promising Master’s and PhD-level talent transform applied artificial intelligence and robotics ideas into credible early-stage ventures.

Organized by 28DIGITAL under the EIT Community AI & Robotics and positioned within the EU ApplyAI Strategy, the AI Entrepreneurs Lab is aimed at technically capable students and graduates who are ready to move beyond research, prototypes and demonstrations and begin testing whether their ideas can become viable companies.

The programme takes a distinctly practical approach. Participants are not being invited to spend five days simply learning entrepreneurship theory. Instead, selected founders are expected to work intensively on their ideas, engage with customers and market actors, test assumptions, receive feedback from entrepreneurs, investors and companies, develop a stronger commercial model and gather evidence that their concept could become a real venture.

Up to 15 participants will join the cohort. Applications may be submitted individually or as a team of up to two people, and candidates may apply with either an early-stage concept or a recently incorporated startup that remains at the pre-launch stage.

The programme culminates in a Demo Day, where participants will present the progress and evidence they have generated. Up to five prizes of €10,000 each will be awarded on merit to teams demonstrating the strongest evidence of venture potential. The funding is intended to support concrete next steps in developing the company.

The five-day in-person bootcamp is scheduled for 9–13 November 2026, with activities taking place across three cities. Awards are connected with the EU Apply AI Summit in Brussels.

Applications opened on 1 September 2026 at 09:00 CET and close on 21 October 2026 at 17:00 CET.

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About the AI Entrepreneurs Lab 2026

The AI Entrepreneurs Lab has been created around a straightforward challenge: Europe has substantial artificial intelligence research and technical talent, but promising research does not automatically become a sustainable company.

The programme therefore seeks to help technically strong graduate talent move from what it describes as the “lab bench to the founder’s seat.”

Its emphasis is on applied AI and robotics businesses that can ultimately be:

• Trusted
• Deployed
• Commercialized
• Scaled
• Tested against genuine user or customer needs

The programme is consequently not focused primarily on producing polished presentations.

The organizers explicitly emphasize that participants should be “judged on evidence, not slides.”

This means applicants should be prepared to investigate whether their proposed solution addresses an actual problem, whether potential users or customers value it, whether the underlying technology is credible and whether there is a realistic path from technical concept to market.

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Who Organizes the AI Entrepreneurs Lab?

The programme operates under the EIT Community AI & Robotics and is delivered by 28DIGITAL.

It is also presented as part of the wider EU ApplyAI Strategy.

This positioning connects the Lab to European efforts to increase the practical deployment and commercialization of artificial intelligence technologies rather than limiting AI development to experimentation and research.

For participants, this means the programme sits at the intersection of:

• AI research
• Robotics
• Entrepreneurship
• Commercialization
• European innovation
• Startup development
• Investment readiness

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How Many Participants Will Be Selected?

The programme is designed as a small and intensive cohort.

Up to:

15 people

will participate.

This is important because the official programme language refers to a 15-strong cohort, rather than 15 separate companies.

Since applicants may apply alone or in teams of up to two people, the final number of ventures represented could therefore be lower than the total number of participants.

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AI Entrepreneurs Lab 2026 Programme Dates

The five-day founder bootcamp is scheduled for:

9–13 November 2026

The programme is conducted in person.

According to the call, it runs across:

Three cities in five days

and culminates in a Demo Day.

Applicants should therefore make sure they can participate fully in an intensive multi-day, in-person programme before applying.

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Who Is the Programme Designed For?

The AI Entrepreneurs Lab targets Master’s and PhD students and graduates who have strong ideas involving artificial intelligence or robotics and want to investigate whether those ideas can become viable companies.

Candidates can apply:

• Individually; or
• As a team of up to two people.

Applications are submitted in the applicants’ personal capacity.

You do not need to have an established startup.

The programme accepts candidates who have:

• An early-stage idea; or
• A recently incorporated startup that is still at the pre-launch stage.

The key requirement is that AI or robotics must genuinely form the core of the proposed venture.

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AI or Robotics Must Be Central to the Business

One of the clearest requirements in the call is that artificial intelligence or robotics should not simply be added to an otherwise unrelated business concept for branding purposes.

The organizers want ideas where AI or robotics is:

Genuinely central to what is being built.

That could mean the proposed technology is fundamental to:

• The product
• The service
• The business model
• The technical architecture
• The user’s value proposition

Applicants should therefore be able to explain why the venture could not reasonably operate in the same way without its AI or robotics component.

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What Makes a Strong Applicant?

The programme provides several indicators of what it considers a strong fit.

1. A Real Problem

Applicants should be able to identify a meaningful problem.

A technically sophisticated idea alone is unlikely to be enough.

Candidates should be prepared to explain:

• Who experiences the problem
• Why it matters
• How the problem is currently addressed
• Why existing solutions are insufficient
• Who might ultimately pay for or adopt the solution

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2. A Credible Technical Direction

Applicants are not necessarily expected to arrive with a finished product.

However, they should have a plausible technical direction.

That could involve:

• A research concept
• A technical prototype
• A clearly defined architecture
• Early experimentation
• Relevant research expertise
• A defensible technological hypothesis

The organisers want evidence that the AI or robotics component is technically meaningful rather than superficial.

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3. A Plausible Path to Market

The Lab is fundamentally entrepreneurship-focused.

Participants should therefore be able to begin answering questions such as:

• Who would use this?
• Who would buy it?
• What market does it address?
• What problem does it solve better than existing alternatives?
• What is the route to deployment?
• What barriers might prevent adoption?

Applicants do not need to have all of these questions solved before applying, but they should demonstrate that they are thinking beyond the technology itself.

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Priority Technology Areas

The call highlights a number of areas under Core AI and Robotics.

These include:

AI Agents and Autonomous Systems

Ideas involving systems capable of carrying out tasks or making decisions with varying levels of autonomy may fit within the programme.

This could potentially include applications involving:

• Autonomous agents
• Multi-agent systems
• Decision-support systems
• Workflow automation
• Autonomous planning

The venture should still be built around a real user or market problem.

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Edge AI and AI Infrastructure

The programme is also interested in technologies supporting the infrastructure on which AI systems operate.

This may include areas such as:

• Edge computing
• AI deployment infrastructure
• Distributed AI
• Model-serving infrastructure
• Resource-efficient AI systems

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Robotics Intelligence

Robotics is explicitly included.

Relevant ventures could focus on the intelligence layer behind robotic systems, rather than merely conventional mechanical design.

Potential areas may include:

• Autonomous navigation
• Robot perception
• Human-robot interaction
• Robotic decision-making
• Industrial robotics intelligence

The call itself does not limit applicants to particular industries.

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Trustworthy and Secure AI

Applicants working on AI safety, security and trust may also fit particularly well.

This category reflects the programme’s emphasis on building technologies that can be responsibly deployed.

Relevant questions could involve:

• AI security
• Model reliability
• Transparency
• Safety
• Verification
• Risk management
• Responsible deployment

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Foundation and Generative Models

The Lab welcomes ideas involving foundation models and generative AI.

This could include technologies built around:

• Large language models
• Generative systems
• Multimodal models
• Domain-specific foundation models

However, the requirement that AI be genuinely central remains important.

Simply adding a generic chatbot interface to an otherwise conventional product would not automatically demonstrate the level of technical centrality described in the call.

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Industrial AI Deployment

Projects concerned with deploying AI in industrial environments are another explicit area of interest.

Such ventures might focus on applying AI to practical operational problems and overcoming the gap between technical experimentation and real-world deployment.

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Be Ready to Test the Idea Publicly

The programme is not designed for participants who want to keep every part of their business thinking private while developing the idea in isolation.

Successful applicants should be willing to test their assumptions with:

• Customers
• Founders
• Investors
• Mentors
• Companies

The Lab describes this as testing the idea “in public.”

The objective is to use external evidence to challenge assumptions and improve the venture quickly.

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What Happens During the Five-Day Bootcamp?

The programme is designed as a practical founder-development experience.

While the exact daily schedule is not included in the information provided, the official call identifies several core areas of work.

Participants will receive support around:

• Founder readiness
• Customer discovery
• Commercial-model testing
• Pitch development
• Investor readiness

These areas represent some of the main obstacles faced by technical founders attempting to convert research or prototypes into businesses.

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Founder Readiness

Moving from researcher or student to startup founder requires a different set of responsibilities.

Participants may need to develop their ability to:

• Make decisions with incomplete information
• Communicate a clear business proposition
• Prioritize work
• Speak with customers
• Respond to market feedback
• Explain technical ideas to nontechnical stakeholders

The Lab is structured specifically around this transition from technical talent to founder.

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Customer Discovery

One of the programme’s most important components is customer discovery.

Participants will be expected to test whether the problem they believe exists is genuinely important to the people or organizations they expect to serve.

This can help founders determine whether they need to:

• Refine the product
• Change the target customer
• Reframe the problem
• Change the business model
• Adjust the technical solution

The emphasis on customer discovery is consistent with the programme’s broader focus on evidence rather than assumptions.

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Commercial Model Testing

A technically impressive technology does not automatically create a sustainable company.

The programme therefore includes commercial-model testing.

Participants may need to examine issues such as:

• Who pays
• Pricing
• Distribution
• Business-to-business versus consumer models
• Licensing
• Partnerships
• Market access

The purpose is to move closer to a venture that could operate beyond the bootcamp.

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Pitch Development

Participants will also work on how they communicate their venture.

A strong pitch must explain both:

• What the technology does; and
• Why it should exist as a company.

Participants should therefore expect to refine how they communicate:

• The problem
• Their solution
• Technical differentiation
• Target users
• Market opportunity
• Evidence generated
• Next steps

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Investor Readiness

The programme also includes investor-readiness support.

Not every early-stage startup is immediately ready for institutional investment, but founders should understand how investors evaluate ventures.

The Lab can help participants begin developing the evidence and communication skills required for future fundraising.

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A Cohort, Not a Classroom

The organizers describe the Lab as:

“A cohort, not a classroom.”

This language reflects the programme’s emphasis on interaction and practical work rather than conventional lectures.

Participants will join a small group of other technically oriented founders working on applied AI and robotics ventures.

That cohort structure can potentially create opportunities for:

• Peer feedback
• Collaboration
• Knowledge exchange
• Future partnerships
• Founder networks

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Hands-On Mentoring

The selected participants will receive mentoring from people with experience in:

• Founding companies
• Scaling companies
• Deploying technologies
• Commercialization
• Investment

Rather than focusing solely on academic theory, mentoring is intended to help participants make concrete progress on their ventures.

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Direct Market Contact

The Lab also provides opportunities for direct interaction with:

• Mentors
• Startups
• Corporates
• Investors

Participants can use these conversations to test assumptions and gather feedback.

The programme also highlights introductions that may continue to be valuable after the five-day experience ends.

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Demo Day

The programme concludes with a Demo Day.

This is where participants demonstrate what they have learned and the evidence they have generated about their venture during the programme.

The selection of prize winners is based on demonstrated venture progress rather than simply the visual quality of a presentation.

The official programme language emphasizes awarding the teams that show the:

Strongest evidence of a real venture.

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Up to Five €10,000 Prizes

One of the major components of the AI Entrepreneurs Lab is its financial award structure.

Up to:

Five prizes

will be awarded.

Each prize is worth:

€10,000

This means up to €50,000 in total prizes could potentially be distributed if all five awards are made.

The funding is intended to support concrete venture progress after the programme.

Importantly, the €10,000 should not be described as guaranteed funding for every participant.

It is a competitive prize awarded on merit at Demo Day.

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EU Apply AI Summit in Brussels

The programme’s awards are connected with the EU Apply AI Summit in Brussels.

This adds a broader European innovation context to the programme and can potentially expose selected founders to a wider network involved in the European AI ecosystem.

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Travel and Accommodation Support

The programme states that travel and accommodation assistance for the selected Top 15 may be provided.

However, this support is:

Subject to programme rules and available budget.

Applicants should therefore not assume that all travel and accommodation costs are automatically fully funded.

The correct interpretation is that support may be available, depending on applicable rules and budget.

Applicants for whom travel support is essential should confirm the applicable conditions before making commitments.

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How to Apply

Candidates must submit one application through the official platform before the deadline.

Applicants are required to provide:

1. A completed application form
2. A CV for each team member
3. A short, creative presentation of the proposed idea

If applying as a two-person team, both team members should therefore prepare individual CVs.

Apply here:
AI Entrepreneurs Lab Application Form

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What Should the Idea Presentation Show?

The source does not prescribe a specific slide count or exact format for the creative presentation in the information provided.

Applicants should therefore avoid assuming requirements that have not been stated.

However, based directly on the published selection profile, the presentation should clearly communicate the elements the programme says it values:

• The problem
• The proposed solution
• Why AI or robotics is central
• Technical direction
• Target customer or user
• Potential path to market
• Current stage of development

Candidates should follow any additional instructions presented in the application platform.

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Can You Apply Without a Startup?

Yes.

Applicants can participate with an early concept.

You do not need to have incorporated a company before applying.

The programme is specifically designed to help turn:

Research and raw ideas into the foundations of a company.

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Can an Existing Startup Apply?

Yes, but the opportunity targets very early-stage ventures.

A recently incorporated startup may apply if it remains at:

Pre-launch stage.

The Lab is therefore not aimed at mature companies with established operations and substantial commercial traction.

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Can You Apply Alone?

Yes.

Candidates may apply as:

• A solo founder; or
• A team of up to two people.

Solo applicants therefore do not need to find a co-founder before submitting an application.

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Application Timeline

The application window opened on:

1 September 2026 at 09:00 CET

and closes on:

21 October 2026 at 17:00 CET

Applicants should note the precise closing time.

This is not a deadline that simply runs until midnight on October 21.

Final deadline: 21 October 2026 at 17:00 CET.

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Programme Timeline

Key dates include:

Applications open: 1 September 2026, 09:00 CET

Application deadline: 21 October 2026, 17:00 CET

Five-day in-person bootcamp: 9–13 November 2026

Participants should ensure they can attend the full in-person programme before applying.

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How to Prepare a Strong Application

Applicants should focus on demonstrating that they have more than an interesting technical concept.

Explain the Problem First

Do not begin with a long explanation of model architecture without explaining why the technology is needed.

Make clear:

• Who experiences the problem
• How serious the problem is
• Why existing solutions are insufficient

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Demonstrate Why AI or Robotics Is Essential

The programme explicitly rejects ideas where AI appears to be added merely as a fashionable label.

Applicants should explain:

• What the AI or robotics component actually does
• Why it is necessary
• What technical advantage it creates
• Why the venture would be substantially different without it

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Show Technical Credibility

Applicants should demonstrate that they understand how the proposed technology might actually be built.

Relevant evidence might include:

• Academic research
• Master’s thesis work
• PhD research
• Prototype development
• Technical experiments
• Previous AI or robotics projects

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Demonstrate Commercial Curiosity

Applicants do not need a complete business plan.

However, they should show that they are already thinking about:

• Customers
• Users
• Markets
• Deployment
• Competition
• Pricing
• Adoption

The programme is specifically designed to move technical talent toward company creation.

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Be Open to Changing Your Idea

Because the Lab emphasizes customer feedback and evidence, strong participants should be willing to discover that some of their initial assumptions are wrong.

The purpose of the five days is not simply to prove that the original idea was perfect.

It is to determine what evidence supports a viable venture and adapt accordingly.

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Key Information at a Glance

Programme: AI Entrepreneurs Lab 2026

Organizer: 28DIGITAL under the EIT Community AI & Robotics

Strategic context: EU ApplyAI Strategy

Focus: Applied artificial intelligence and robotics entrepreneurship

Target group: Master’s and PhD students and graduates

Applicant format: Solo applicants or teams of up to two

Venture stage: Early concept or recently incorporated pre-launch startup

Cohort size: Up to 15 participants

Format: Five-day in-person founder bootcamp

Bootcamp dates: 9–13 November 2026

Structure: Three cities in five days, concluding with Demo Day

Funding opportunity: Up to five €10,000 prizes

Prize basis: Merit at Demo Day

Potential travel/accommodation support: May be available subject to programme rules and budget

Application requirements: Application form, CV for each team member and short creative presentation of the idea

Applications opened: 1 September 2026 at 09:00 CET

Deadline: 21 October 2026 at 17:00 CET

Official programme page:    AI Entrepreneurs Lab

APPLY HERE

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Conclusion

The AI Entrepreneurs Lab 2026 offers Master’s and PhD-level AI and robotics talent an opportunity to explore one of the most difficult transitions in technological innovation: moving from technically promising research or an early idea toward a company capable of solving a genuine market problem.

Rather than functioning as a conventional entrepreneurship course, the Lab is built around practical experimentation. Participants are expected to test assumptions with customers, receive feedback from founders and investors, refine their commercial models and develop evidence that their technology could become a viable venture.

Up to 15 participants will join the intensive five-day programme, with applicants able to participate individually or in teams of two. Ideas may still be at concept stage, while recently incorporated pre-launch startups are also eligible.

The programme is particularly suited to candidates working in areas including AI agents and autonomous systems, edge AI and infrastructure, robotics intelligence, trustworthy and secure AI, foundation and generative models and industrial AI deployment.

At the conclusion of the Lab, participants will present their progress at Demo Day. Up to five ventures can receive €10,000 each to support concrete next steps.

Candidates should remember that the €10,000 is a competitive prize rather than guaranteed funding and that travel and accommodation support, while potentially available for the Top 15, is subject to programme rules and budget.

For technically strong Master’s and PhD students or graduates who have begun asking not only “Can this technology work?” but also “Can this become a company?”, the programme provides an opportunity to test that question intensively.

Applications close on 21 October 2026 at 17:00 CET.