The people and institutions building this with us.
The challenge kickstarts the 10 frontier labs. Advocates make them work.
Next Frontier AI brings together the people and institutions whose reach, demand, alignment and capital turn a funded initiative into a functioning ecosystem. Ecosystem leaders surface the founders. Public institutions clear the path. Corporates anchor industrial demand. Investors close the rounds Europe has historically lost to the US.
Each archetype fills a structural gap that capital alone cannot.
How the advocates program works
What advocates do
Each of the four archetypes plays a distinct role at a different point in the pipeline - from surfacing the best teams in Europe to apply, to providing the political conditions to operate at scale, to anchoring the billion-euro follow-on rounds that transform lab seedlings into genuine frontier institutions. Together they form the ecosystem that no single institution, and no amount of public funding, can replicate alone.
How advocates are selected
Advocates are selected collectively by SPRIND’s AI core team based on eligibility criteria defined for each archetype. Onboarding takes no longer than two weeks from first contact. Advocates are featured publicly on this page, receive early access to program progress before public announcement, and participate in structured engagement formats tailored to their archetype.
Interested in becoming an advocate?
If your profile matches one of these archetypes, reach out and apply to become an advocate:
- Ecosystem leaders: the connectors who ensure Europe's best builders hear about the program and who open doors to investors, institutions and partners throughout its lifecycle.
- Public Institutions: the political counterparts who create the conditions to build at scale.
- Corporates: the industrial partners who provide demand, data and capital.
- Investors: the capital providers who fund the labs to frontier scale.
Each is backed to raise up to €1 bn to launch a frontier lab that can shift Europe’s AI trajectory.
Ecosystem Leaders
Ecosystem Leaders
You are a researcher, founder, board director, open-source maintainer, or technical community builder with a genuine following in the European AI community. You know who the serious builders are - the PhDs writing foundational code, the engineers at hyperscalers quietly preparing for something bigger, the researchers who have been thinking about European AI infrastructure for years. What you have is reach and credibility that no institutional campaign can replicate.
Who qualifies
- Recognised contributor to the European or global AI technical community (active researcher, founder, member of a board of directors, open-source maintainer, community builder, or technical communicator with verifiable public presence)
- Demonstrable reach to or network within SPRIND’s AI target applicant population – whether into the builder community (frontier AI researchers, ML engineers, deep tech founders) or into adjacent networks of investors and public institutions with a stake in European AI
Each is backed to raise up to €1 bn to launch a frontier lab that can shift Europe’s AI trajectory. - No active commercial conflict of interest with SPRIND’s AI challenges or its funded teams
- Commitment to actively engage their network on behalf of the program – during the application window and at key milestones throughout the challenge.
What you bring
A single post, newsletter, or direct introduction from someone with real credibility travels further than any press release. Next Frontier AI needs you to surface the right teams before the application deadline – and, throughout the challenge, to open doors to investors and institutions that the program cannot reach through formal channels alone.
What you get
Named ambassador status on this page and in program communications. Early access to jury decisions, lab selection outcomes and technical directions before public announcement - positioning you as an authoritative voice in the conversation about Europe's AI future. Opportunities to co-host or speak at SPRIND’s AI team-building events and community gatherings across European cities.
Former Engineering Head of Responsible AI at Meta – creator of the industry's first AI Red Team and key contributor to Llama's safety – now Associate Director of the Barcelona Supercomputing Center.
- AI Leader
- Spain
Founder and Managing Partner of goetzpartners, the Munich-based independent advisory firm for strategy, M&A and transformation, with decades of transaction experience across energy, telecoms and media in Europe.
- Entrepreneur
- Germany
Public Institutions
Public Institutions
How the advocate program works
You represent a national ministry, public agency, EU institution, or publicly mandated research infrastructure body with an active mandate in AI, digital sovereignty or deep-tech innovation. You understand that building frontier AI companies in Europe is not purely a technical or financial challenge - it is a political one. The capital mobilisation, data access regulatory environment and procurement signals that serious AI labs need all require active alignment at national and EU level.
Who qualifies
- National government ministry, public agency, EU institution, national innovation agency, or publicly mandated research infrastructure body
- Active mandate related to AI, digital sovereignty, innovation or deep-tech at national or EU level
- Headquartered within EU, EFTA or UK
- Designated representative with authority to engage in strategic partnerships on behalf of the institution
What you bring
The structural conditions for training and deploying powerful AI in Europe - accessible compute, usable public datasets, regulatory clarity, credible early procurement - cannot be created by the labs alone. You are the political counterpart to the technical teams. Without your alignment of national and EU instruments, the labs cannot be built at the pace and scale required.
What you get
Early visibility into the capabilities being developed across the funded labs, before public announcement. A concrete program to point to when making the case for European digital sovereignty - one that produces companies, products and pilots, not position papers. Structured bi-annual roundtables with lab teams and other public institution representatives to align on the policy and regulatory support the labs need.
ETH Zurich's central hub for AI, connecting 1,500+ researchers across 16 departments and leading national efforts like the Swiss AI Initiative for open-source foundation models.
- Research Center
- Switzerland
Joint initiative of TU Munich and UnternehmerTUM running 12 domain-specific deep tech and life science incubators, supporting spin-offs from idea to seed funding – 600+ ventures backed to date.
- Incubator
- Germany
The German federal government's flagship technology strategy, led by the Federal Ministry of Research, Technology and Space, driving leadership in six key technologies – AI, quantum, microelectronics, biotech, fusion and climate-neutral energy and mobility.
- Government
- Germany
Europe's largest AI research consortium, uniting the Max Planck Society, the Universities of Stuttgart and Tübingen, the state of Baden-Württemberg and industry partners in machine learning, robotics and computer vision.
- Research
- Germany
Investors
Investors
You run or represent a serious investment firm with an active mandate in deep tech, AI or frontier technology. You have been watching European AI for years - the talent, the research, the repeated failure to translate it into globally competitive institutions. You understand that the structural problem has not been ideas; it has been the absence of billion-euro growth rounds at the right moment. Next Frontier AI is explicitly engineered to change that. Your early signal of intent is part of what makes it work.
Who qualifies
- Professional investment firm with AUM of at least €100M (venture/growth) or €500M (private equity, large family office, or sovereign wealth fund)
- Active investment mandate covering deep tech, AI, or frontier technology - not exclusively software/SaaS
- Realistic capacity and stated strategic interest in participating in rounds of €50M+ in European frontier AI companies
- Geographically active in Europe or with a documented European deep-tech investment thesis
What you bring
The most persistent structural failure in European deep tech has been the absence of follow-on capital at scale. Without investors committed to the €1 billion scale-up rounds for the winning labs, the initiative risks producing well-funded seedlings that then stall. Your early engagement fundamentally changes the probability distribution of outcomes.
What you get
A structurally de-risked entry point: the riskiest phase of company-building - team formation, early technical validation, governance structuring - is entirely publicly funded and selected by a rigorous, multi-stage jury. By the time you are invited in, you are evaluating two years of experiments, benchmarks, pilots and operational execution - not a story. Clean entry at the first institutional round, before valuations can go vertical. First-mover position in a nascent but critical asset class, before it is fully legible to the broader market.
One of Europe's most established VCs, founded 1997 with €2B under management across Berlin, Munich and London, backing tech companies from early stage to growth – including unicorns like N26 and Isar Aerospace.
- Venture Capital
- Germany
Early-stage VC backing ambitious founders from the DACH region and across Europe, investing from first institutional round to Series A in digital health, climate tech, deep tech and enterprise software.
- Venture Capital
- Germany
Swiss early-stage fund founded by Google Assistant co-creator Yariv Adan, backing pre-seed and seed founders building defensible AI companies rooted in proprietary data and deep domain expertise.
- Venture Capital
- Switzerland
Berlin-based multi-strategy VC with offices across Europe, investing in deep tech, AI and breakthrough technologies while connecting corporates and founders through its pioneering VC-as-a-Service model.
- Venture Capital
- Germany
Munich- and Berlin-based early-stage VC born out of UnternehmerTUM at TU Munich, with ~€400M under management, backing European B2B startups in enterprise software, deep tech and industrial technologies.
- Venture Capital
- Germany
Berlin-based pioneer of the AI venture studio model, financing, incubating and scaling AI companies from the founding team up, and home of Berlin's AI Campus.
- Venture Capital
- Venture Studio
- Germany
Vienna-based deep tech VC investing across Europe in early-stage companies built on unique, defensible technologies – from AI and quantum computing to robotics and medical technology.
- Venture Capital
- Austria
Early-stage fund founded by operators who scaled MuleSoft and Databricks, backing pre-seed and seed startups across the UK and Europe in AI, data tooling and infrastructure software.
- Venture Capital
- United Kingdom
Europe's most active super angel fund, writing first checks at angel, pre-seed and seed stage across 75+ startups per year and coaching every team hands-on.
- Angel Fund
- Germany
Deep tech fund founded by the ex-Earlybird-X team, backing pre-seed and seed spin-offs from Europe's leading technical universities in AI, industrial tech and cleantech.
- Venture Capital
- Germany
Munich-based early-stage deep tech VC with ~€450M under management, backing European founders from pre-seed to Series A across space, quantum, energy, robotics and AI – with portfolio wins like Isar Aerospace and IQM Quantum.
- Venture Capital
- Germany
Corporates
Coming Soon
You lead or represent a large European enterprise with a genuine frontier AI use case - not a generic IT procurement need, but a real problem where next-generation AI capabilities would change what is possible in your industry. You are thinking about what it means to depend entirely on US and Chinese AI stacks for your most critical processes. And you are interested in a credible European alternative you can help shape from the start.
Who qualifies
- European-headquartered (or majority European operations), with annual revenue above €500M OR demonstrably strategic role in an AI-relevant sector
- Concrete industrial or commercial use case for frontier AI - not limited to generic IT procurement
- Capacity and willingness to engage in at least one of the following: structured multi-year pilot agreement with a funded lab; consideration of co-investment in scale-up rounds; or contribution of domain data or evaluation environments
- No direct competitive conflict with the primary business of SPRIND’s AI challenge teams
What you bring
Large European corporates occupy a position in this ecosystem that no other stakeholder can fill: simultaneously potential customers, co-investors, data contributors and domain experts. For the labs to become credible enterprises - not just well-funded research teams - they need exactly what you can provide.
What you get
Early and deep access to European frontier capabilities being built for enterprise use cases - before valuations reflect the full strategic value of that access. Direct influence over lab development through structured involvement in evaluation criteria, safety requirements and integration architectures. A strategic hedge against non-European lock-in, with equity exposure to potentially transformative assets at the most attractive entry point: after public de-risking, before valuations go vertical.