Frontier AI Benchmarking Datasets
Supports United Kingdom AI researchers by building shared benchmark datasets for stronger and fairer innovation.
⚠This may reflect a past cycle — verify the current call on the funder's site.
Frontier AI Benchmarking Datasets 2026 is a £4,500,000 Innovate UK competition that funded the creation, curation, annotation, and exploitation of FAIR-data benchmarks and datasets to accelerate the UK AI industry. The call opened on 21 April 2026 at 9:00am UK time and closed on 27 May 2026 at 11:00am UK time. FAIR-data principles — Findable, Accessible, Interoperable, Reusable — were a core requirement, meaning all outputs had to meet specific data standards enabling broader reuse across the research and industry community, not just within the funded project.
The programme required collaborative applications. Lead organisations had to be UK-registered businesses or research and technology organisations (RTOs); all consortia were required to include at least one UK-registered SME claiming grant funding as a consortium member. This SME requirement embedded commercial applicability into every project and prevented purely academic consortia from accessing the fund. Individual award sizes and project-duration limits were not stated in the available source material.
Although this specific call has now closed — with a closing date of 27 May 2026 — the programme reflects a recurring Innovate UK and DSIT priority: building the dataset and benchmarking infrastructure that underpins frontier AI safety evaluation and industry development. Organisations in AI research tooling, safety evaluation, or large-scale data annotation should monitor Innovate UK's funding finder for successor calls in this programme area, which is closely aligned with the broader BridgeAI and AI Safety Institute agendas being pursued by the UK government.
Creation, curation, annotation and exploitation of FAIR-data benchmarks to drive AI industry development in the UK.
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