LLM-BRIDGE – Venture Incubation Programme - Open Call for Start-ups – 1st Call

The LLM-BRIDGE Venture Incubation Programme will select 30 early-stage startups working on Generative AI, LLMs, NLP or related technologies for a 12-week incubation in summer 2026. Selected startups will receive mentoring, technical guidance, access to high-performance computing and data infrastructures, and regulatory training aligned with the AI Act, Data Act and GDPR. Up to five top-performing cohort members will each receive a €25,000 Financial Support to Third Parties prize from a total FSTP budget of €125,000. Applications are submitted via F6S and must be received by 1 June 2026 at 17:00 Brussels time; applicants should be established in EU Member States or Digital Europe Programme Associated Countries and demonstrate technical feasibility and responsible AI alignment.

What it funds

Purpose and support

A 12-week summer 2026 incubation programme for 30 early-stage startups developing Generative AI and large language model based solutions. Support includes mentoring, technical guidance, access to high-performance computing and data infrastructure, regulatory and responsible AI orientation, and cross-border networking. Up to five top participants will each receive a €25,000 Financial Support to Third Parties prize.

Who can apply:Early-stage GenAI startups (teams or companies building LLM-centered products/services) with a concept or prototype and commercial potential; selection aims for geographic and thematic diversity ¹.

1. 1Opening date: 01 April 2026
2. 2Deadline (single-stage): 01 June 2026, 17:00 Brussels time
3. 3Programme duration: 12 weeks (summer 2026)
4. 4Total cascade funding available: €125,000 (allocated as up to five prizes of €25,000 each)

Apply via the programme portal; eligible proposals are assessed by independent external experts and applicants receive an evaluation summary report within weeks of panel ranking ¹.

Footnotes

1. 1Application and supporting documents: LLM-BRIDGE Open Call on F6S and programme information at LLM-BRIDGE Open Calls.

Key facts and timeline

Administrative and schedule details

Call opening date:01 April 2026. Submission deadline (single-stage): 01 June 2026, 17:00 Brussels time. Expected duration of participation for selected startups: 12 weeks during summer 2026. Total funding available for the cascade funding component: €125,000. The call is published under the LLM-BRIDGE project (LLM Booster for Regional Innovation and Digital Growth in Europe), Grant Agreement number 101226136. The call reference falls under DIGITAL-2024 - Support to the implementation of Multi-Country Projects (MCPs).

Primary objective:Select 30 early-stage Generative AI / LLM startups to participate in a 12-week Venture Incubation Programme (VIP) in summer 2026 to support development, scaling, commercialisation and responsible innovation of LLM-based solutions across the European AI ecosystem ¹.

What is offered to selected startups

Selected startups will receive structured incubation support combining non-financial and financial elements. Non-financial support includes entrepreneurial mentoring, technical guidance, access to high-performance computing (HPC) resources and data infrastructures, regulatory and responsible AI orientation aligned with EU frameworks (AI Act, Data Act, GDPR and Digital Decade targets), and facilitation of cross-border collaboration and inclusivity within the European AI ecosystem. Financial support: at the end of the programme up to five best-performing startups will each be awarded a Financial Support to Third Parties (FSTP) prize of €25,000 (total FSTP budget €125,000).

Who can apply (eligibility)

Primary target applicants:early-stage startups working on Generative AI and LLM technologies. In practice eligible applicant types include startups (early-stage), SMEs, and small teams with a clearly defined startup structure. The call text emphasises early-stage GenAI startups; it is published as a cascade funding open call implemented by an incubation partner in collaboration with the LLM-BRIDGE consortium. No explicit list of excluded applicant legal types is provided in the scraped content; applicants should check the full supporting documents on the programme website for precise legal eligibility and nationality rules.

Geographic eligibility and scope:Region: European Union / multi-country scope under an EU-funded project. The call aims to foster cross-border collaboration within the European AI ecosystem. The scraped content does not list specific countries as eligible or ineligible; applicants should assume EU-wide eligibility consistent with the LLM-BRIDGE MCP objective and consult the official supporting documents for any country-specific restrictions ¹.

Funding type and nature of support

Primary funding mechanism:cascade funding (Financial Support to Third Parties, FSTP) combined with extensive non-monetary incubation services. The financial element is prize-based: up to five finalists each receive €25,000. Non-monetary services include mentoring, technical guidance, HPC and data access, regulatory/ethical support, business and commercialisation coaching, and networking with the LLM-BRIDGE consortium and partner ecosystem.

Application and selection process

Submission route (single-stage):All proposals must be submitted through the F6S application page: f6s.com. Supporting documents for applicants are hosted on the LLM-BRIDGE website: llm-bridge.eu. Eligible proposals will be evaluated by independent external experts appointed by the LLM-BRIDGE consortium. Each proposal will be assessed by at least two experts. Applicants will receive an Evaluation Summary Report (ESR) with scores, comments and the final consensus assessment. Notification of evaluation results will be provided within four weeks after completion of panel ranking for eligible proposals.

1. 1Submission method: single-stage open call via F6S application form (web submission).
2. 2Evaluation: at least two independent external experts review each eligible proposal.
3. 3Notification: results communicated within four weeks after panel ranking; successful applicants invited to participate in the 12-week VIP.
4. 4Final awarding: after the 12-week programme, five finalists selected to receive €25,000 each as FSTP.

Evaluation criteria, weights and thresholds

Evaluation uses three criteria with specified weights and minimum thresholds. Minimum score per criterion is 3 out of 5; minimum overall score 9 out of 15 for selection.

Final selection may also consider portfolio balance, geographic diversity and thematic relevance when forming the cohort of 30 startups.

Applicant obligations, consortium and project stage

Consortium requirement:single applicant (individual startup application). The call targets early-stage projects — idea to prototype stage up to initial market validation. Expected project maturity: early-stage GenAI startups with at least concept or prototype maturity sufficient to benefit from a 12-week incubation and to be assessed under the Excellence criterion (maturity of concept or prototype).

Co-funding requirement:The scraped call information does not state a mandatory co-funding or matched funding requirement for participation in the VIP. The financial prize is an FSTP awarded to finalists; usual cascade funding practice is to provide direct financial support without co-funding, but applicants must check the supporting documents and Terms & Conditions on the LLM-BRIDGE call page for any specific cost sharing, eligibility of costs or financial reporting obligations ¹.

Application materials and templates

Submission is via the F6S application portal. The supporting documents and any application templates, forms, guidelines and annexes are available on the LLM-BRIDGE open calls web page: llm-bridge.eu. The scraped content indicates supporting documents exist at that link but does not list the specific template fields. Typical required information on such calls includes: company legal name and registration details, team composition and CVs, technical description of the LLM/GenAI solution, maturity/prototype description, development roadmap for the 12-week programme, market analysis and business model, expected impact and scaling plan, data and compute needs (HPC/data infrastructure), and responsible AI / regulatory compliance considerations. Applicants should download the official call supporting pack for the exact form layout and required attachments.

Selection volume, awards and success rate guidance

Number of beneficiaries to be selected:30 startups for the 12-week incubation. Final prize awards: up to 5 startups will each receive €25,000 after programme completion (total FSTP budget €125,000). The scraped call does not publish the expected number of applicants or historic success rates. As with many EU cascade calls, the selection ratio will depend on the number of valid applications received; applicants should therefore treat competition as high and prepare to clearly evidence excellence, impact and implementation quality in their submission.

How applications are evaluated in practice (practical guidance)

1. 1Prepare a concise technical description demonstrating relevance to Generative AI and LLMs, with evidence of technical feasibility and current maturity (prototype, demo, pilot).
2. 2Document market need, value proposition and a credible scaling/commercialisation plan aligned with the Impact criterion.
3. 3Provide clear team CVs and responsibilities, and a feasible 12-week roadmap showing deliverables and use of HPC/data resources.
4. 4Demonstrate attention to responsible AI, legal/regulatory compliance (AI Act, Data Act, GDPR) and ethical considerations.
5. 5Submit via F6S before the deadline and attach all required supporting documents from the programme guidance pack.

Contacts, helpdesk and further information

Primary information hub and call supporting documents:llm-bridge.eu. Application submission link: f6s.com. For F6S technical access issues, F6S support email is support@f6s.com. The LLM-BRIDGE helpdesk is referenced on the programme web page for content or eligibility queries. Applicants should consult those sources and the official programme pack for any legal or administrative clarifications before applying.

Explicitly mentioned legal and regulatory frameworks

The programme explicitly aligns with and orients participants towards European frameworks, including the European AI Act, Data Act, GDPR and the Digital Decade targets. Responsible AI innovation and regulatory orientation are core programme deliverables.

Mentioned countries

No individual countries are named in the scraped call text. The initiative is EU/ multi-country in scope under an EU-funded project; applicants should assume EU coverage unless the official supporting documents state otherwise ¹.

Application stages and process summary

1. 1Stage 1: Single-stage application submission via F6S within the deadline. Evaluation by independent external experts; applicants receive Evaluation Summary Report (ESR).
2. 2Stage 2: Selected startups participate in the 12-week VIP incubation programme (implementation stage).
3. 3Stage 3: Final selection at the end of the programme: up to five finalists awarded €25,000 FSTP each.

Overall stages applicants must pass to receive the financial prize:essentially two selection phases — initial selection into the cohort (selection stage) and final selection among cohort members for FSTP award at programme end. Administratively this is delivered from a single-stage open call leading to programme participation and subsequent finalist award decisions.

Success rate and competitiveness

The call does not publish a historical or guaranteed success rate. The cohort size (30) and final prize size (up to five) define the quotas, but the number of applications is unknown. Applicants should assume competitive selection and ensure high scores across Excellence (40%), Impact (30%) and Implementation quality (30%).

Additional practical notes

1. 1Prepare explicit information on compute and data needs (HPC, data infra) because access to these resources is a key programme offering.
2. 2Highlight compliance and responsible AI practices and how the project will meet AI Act, GDPR and Data Act considerations.
3. 3Emphasise cross-border potential and contribution to the European AI ecosystem to support Impact scoring and geographic diversity objectives.
4. 4Download and follow the application templates and guidance available on the programme web page to avoid administrative ineligibility.

Summary: What is this opportunity about?

LLM-BRIDGE Venture Incubation Programme (1st open call for startups) is an EU-funded cascade funding open call seeking to select 30 early-stage Generative AI / LLM startups for a 12-week intensive incubation programme in summer 2026. The programme combines hands-on non-financial support (mentoring, technical guidance, access to HPC and data infrastructures, regulatory and responsible AI orientation) with a financial awards component: up to five of the best-performing cohort members will receive €25,000 each as Financial Support to Third Parties (FSTP) drawn from a total FSTP budget of €125,000. Application is single-stage via F6S, with independent expert evaluation based on Excellence (40%), Impact (30%) and Implementation (30%), minimum per-criterion and overall thresholds apply. The call is EU / multi-country in scope under the LLM-BRIDGE project; applicants should prepare high-quality submissions demonstrating technical feasibility, market impact, team capacity and strong adherence to responsible AI and EU regulatory frameworks. Full application templates, rules and supporting documents are available on the LLM-BRIDGE open calls web page and applicants must submit via the F6S portal before the 01 June 2026, 17:00 Brussels time deadline ¹.

Footnotes

1. 1Official programme and supporting documents: LLM-BRIDGE Open Call for Startups llm-bridge.eu; Application portal (submission): f6s.com. The EU Funding & Tenders Portal call page is the formal announcement for the cascade funding open call.

This cascade funding opportunity under the LLM-BRIDGE project (Grant Agreement 101226136) selects 30 early-stage startups working with Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), or related technologies for a 12-week incubation programme in summer 2026. The programme provides mentoring, technical guidance, access to high-performance computing (HPC) resources, data infrastructures, and regulatory training aligned with the AI Act, Data Act, GDPR, and Digital Decade Targets. Up to five top-performing startups receive a 25,000 euro Financial Support to Third Parties (FSTP) prize post-programme.

Key Dates and Funding Details

Opening Date:1 April 2026.

Deadline:1 June 2026 at 17:00 Brussels time (single-stage submission).

Programme Duration:12 weeks, taking place in summer 2026.

Total Funding Available:125,000 euros, with up to five prizes of 25,000 euros each for top performers (total prize pool 125,000 euros).

The programme is implemented by a selected EU-based incubator in collaboration with the LLM-BRIDGE consortium, coordinated by ALT-EDIC, focusing on cross-border collaboration and inclusivity in the European AI ecosystem.

Eligibility and Who Can Apply

Open to early-stage GenAI startups across Europe developing innovative solutions using LLMs, multilingual AI, NLP, or related technologies. Applicants must demonstrate relevance to the GenAI/LLM domain, technical feasibility, and alignment with responsible AI principles. Startups should be at a stage with concept or prototype maturity, suitable for product validation and scaling.

• Established in EU Member States or Digital Europe Programme Associated Countries.
• Focus on commercialisation of LLM-based solutions.
• Commitment to ethical AI practices and EU regulatory compliance.

Application and Submission Process

Proposals must be submitted via F6S Application Portal. Supporting documents are available at LLM-BRIDGE Open Calls Page. The primary opportunity page is EU Funding & Tenders Portal.

Evaluation by at least two independent external experts appointed by the LLM-BRIDGE Consortium. Results notified within four weeks, with an Evaluation Summary Report (ESR) provided to all applicants. Successful startups sign participation agreements for the 12-week programme.

Evaluation Criteria and Thresholds

Minimum score per criterion:3/5. Minimum overall score: 9/15. Final selection considers portfolio balance, geographic diversity, and thematic relevance ¹.

Programme Support and Benefits

• Entrepreneurial mentoring and business development.
• Technical guidance and access to HPC/data resources.
• Regulatory and responsible AI training.
• Acceleration of commercialisation and cross-border collaboration.
• Post-programme FSTP prizes for top 5 startups.

The LLM-BRIDGE project (full name:LLM Booster for Regional Innovation and Digital Growth in Europe) is funded under DIGITAL-2024. Further information at LLM-BRIDGE Website.

Footnotes

1. 1Detailed evaluation guidelines available on the EU Funding & Tenders Portal and LLM-BRIDGE open calls page.