This listing provides a structured overview of a Frontier AI funding competition offered by Innovate UK, part of UK Research and Innovation (UKRI). UK-registered micro, small, and medium-sized enterprises can apply for a share of up to £3.1 million to deliver feasibility studies for frontier artificial intelligence and machine learning technologies with a clear route to defensible scale-up.
Competition Overview and Registration Details
• Opportunity type: Funding
• Funding organisation: Innovate UK, part of UK Research and Innovation (UKRI)
• Competition: Frontier AI feasibility studies, Phase 1 of a three-phase funding pipeline
• Total investment: up to £3.1 million
• Registration opens: 01/10/2026
• Registration closes: 11/11/2026 at 11:00am.
• Eligible location: East Midlands, East of England, London and the South East, North East (England), North West (England), Northern Ireland, Scotland, South West (England), Wales, West Midlands, Yorkshire and The Humber
• Sector focus: Digital, Electronics, Health, Materials, Robotics & AI, Security & Defence
• Eligible project costs: £150,000 to £250,000
• Funding intensity: up to 70% of costs, depending on business size
• Project duration: between 1 and 3 months
• Project start: by 1 April 2027
• Project end: by 30 June 2027
Eligibility Criteria
• To work alone, an organisation must be a UK registered micro, small, or medium-sized enterprise.
• Subcontractors are not allowed in this competition.
• An SME can only submit one application; any further applications by the same organisation will be made ineligible.
• Any organisation receiving funding must carry out its project work in the UK, intend to exploit the results in the UK, and spend most of the funding within the UK.
Themes and Priorities
• A proposal must fall within one or more of the following themes, and applicants must focus on one specific priority within each selected theme. Applications that do not align with the theme and priority selected will not be sent for assessment.
• Theme 1: AI-Enabled Health and Life Sciences — making the UK the best place to develop and deploy AI for drug discovery, development and manufacturing of medicines, clinical trials, and healthcare delivery.
- Priorities: predictive healthcare; medicines discovery; medicines manufacturing optimisation; genomics and multi-omics.
• Theme 2: Advanced Materials with AI — building a world leading, AI first capability across the materials research, development and innovation pipeline, including applications in aerospace, net zero technologies, defence and semiconductors.
- Priorities: material prediction, generative models and multi objective optimisation; physics ML models for discovery and simulation acceleration; multimodal knowledge discovery platforms; generalisable world models or data efficient learning for materials process optimisation and manufacturing scale up; open set or uncertainty aware models for materials characterisation, defect detection and diagnosis.
• Theme 3: Secure AI for National Security and Defence — enabling the UK’s defence sector to become a leading integrator of secure AI enhanced command and control, and AI enabled sensors.
- Priority A: Advanced AI and Autonomous Decision Systems — AI systems for decision advantage and mission delivery; AI driven multi-source data fusion and analytics; hybrid AI architectures for causal and multi-step planning systems with adaptive reasoning.
- Priority B: Resilient Edge Intelligence — AI systems for effective deployment in degraded, denied and contested environments; AI native hybrid quantum-AI and semiconductor-AI for novel sensing, low SWaP inference and neuromorphic technologies to improve detection and classification.
- UKRI is committed to maximising the contribution that intellectual and knowledge assets, including intellectual property, arising from funded research and innovation can make to supporting national security and defence, including through dual use; applicants should refer to UKRI published guidance on National Security and Defence research.
• Theme 4: AI safety and assurance technologies — technical methods, evaluation infrastructure and control mechanisms that enable AI systems to be tested, constrained and verified against safety relevant failures.
- Priorities: agentic runtime control and action assurance, including technologies for constraining, verifying, authorising or interrupting actions taken by autonomous and tool using AI systems; dynamic AI evaluation, simulation and safety test environments for evaluating dynamic system level behaviour; formal and runtime verification for AI enabled systems for autonomous or safety critical systems; automated adaptive adversarial safety testing, including technologies that automatically generate, discover and reproduce previously unknown AI safety failures.
Phase 2 Pipeline and Success Expectations
• Phase 2 of this series will enable projects to develop demonstrators of the innovation developed in Phase 1.
• Phase 2 projects are expected to advance the technology readiness level by 2 points on the TRL scale.
• Phase 2 applications may be submitted for projects lasting up to 12 months with costs of up to £1 million.
• Progression to Phase 2 will depend on Business Case approvals, Phase 1 outcomes, and the launch of a separate Phase 2 competition.
• Funding for Phase 2 and Phase 3 is subject to business case approval by UKRI.
• Innovate UK’s experience from similar competitions suggests an approximate 2% chance of success.
Exclusions
• Projects that do not sufficiently provide a quantified serviceable addressable market.
• Projects that do not sufficiently provide clear background IP ownership or rights.
• Projects that do not sufficiently provide a specific defensibility route.
• Projects that do not align with the competition theme and specific priority areas.
• Projects that do not sufficiently provide a named baseline with metrics and numeric targets for validation.
• Projects that do not sufficiently address the scope of the competition.
• Projects that are primarily literature review studies or requirement gathering without substantive experimental R&D.
• Projects that propose routine integration, deployment, orchestration or productisation of existing AI tools or third party models without novel AI or ML development.
• Projects that are not delivering measurable and specific objectives.
• Projects that are primarily routine integration or deployment of existing AI tools without substantive technical innovation.
• Projects that do not have clear technical novelty and feasibility challenge.
• Projects that do not result in defensible foreground IP.
• Projects that focus primarily on non-AI, ML R&D and development, including cross-cutting projects.
• Projects that develop fully autonomous targeting.
• Projects whose primary purpose is the development of hardware, including sensor hardware, quantum hardware, platforms, or other enabling infrastructure, where AI is only a secondary feature, add-on analytics layer, or downstream application.
Briefing and Support
• Innovate UK will hold an online briefing event on Wednesday 7 October 2026 at 11:30am; registration requires Zoom.
• A recording and slides will be available after the event.
• Applicants can contact Innovate UK Business Connect’s Robotics & AI team for advice.
This listing summarises the key details, scope, eligibility, themes, exclusions, and support available for the Frontier AI competition. Prospective applicants should review the official Innovate UK guidance and ensure their proposal is aligned with the selected theme and priority before the 11 November 2026 deadline.