Grant

Grant: ARIA TA1.4: Privacy-preserving AI Safety Verification (Advanced Research and Invention Agency (ARIA) -> University of Birmingham)

Profile page →

partial50% confidence

2 evidence checks from 1 unique source

Last checked: 4/3/2026

[deterministic-row-match] Partial deterministic match: grantee matched but name did not (48 rows)

Evidence — 1 source, 2 checks

www.aria.org.uk/programme-safeguarded-ai/ARIA(2 checks)

partial50%deterministic-row-match · 4/3/2026

Found: Matched row: {"grantee":"Hashberg Ltd / University of Birmingham","focusArea":"TA1.1","name":"Hyper-optimised Tensor Contraction for Neural Networks Verification","description":"Hashberg Ltd / Univers…

Note: [deterministic-row-match] Partial deterministic match: grantee matched but name did not (48 rows)

unverifiable85%Haiku 4.5 · 3/25/2026

Found: The source text discusses the Safeguarded AI programme with Technical Areas (TA1, TA2, TA3) and mentions TA1 as a focus area, but does not specifically mention a grant titled 'ARIA TA1.4: Privacy-pres…

Note: While the source confirms the existence of TA1 within the Safeguarded AI programme and discusses expanding TA1's scope, it does not provide the specific grant name, date (2024-01), grantee identifier (bEVAImWDe3), or funder identifier (XqjV4mbMXQ) mentioned in the record. The source text appears to be a programme overview rather than a detailed grants database, so the specific grant details cannot be verified or contradicted from this excerpt.

Debug info

Record type: grant

Record ID: kSM3-sjDP6