AHOY Labs (Aka Trouvé) Announces Enterpriserag-Bench Results: 1.03 Irrelevant Documents Per Answer

Montreal, Quebec - AHOY Labs (aka Trouvé), part of the AHOY technology group, today announced that its sovereign-by-design AI system achieved an overall score of 74.95 on EnterpriseRAG-Bench, a public, open-source benchmark for enterprise AI. AHOY Labs ranks 8th worldwide out of 26 systems and scored ahead of several major global enterprise AI players evaluated in the benchmark.

The benchmark gives each AI system the full archive of a simulated company: more than 500,000 emails, chat threads, files, tickets, sales records, and meeting transcripts. It then asks 500 questions. Some answers are spread across several documents. Some documents contradict each other. Some questions have no answer at all. Systems are scored on whether their answers are correct and complete, and on whether they bring back only the documents that matter

The biggest gap is in precision. AHOY Labs returned an average of 1.03 irrelevant documents per answer. One major enterprise AI player evaluated in the benchmark returned 15.7. Irrelevant documents are noise: they bury the real evidence, add cost and slow people down. They also make it harder to check where an answer came from. With AHOY, the evidence behind an answer is the evidence that matters. For governments, regulators and organisations that must defend every decision they make with AI, that difference is decisive.

AHOY's platform is designed to run inside the customer's own premises, on the customer's own hardware. It can operate fully offline, so sensitive data never leaves the organisation, and AHOY's internal testing shows it delivers the same benchmark result when running fully offline. Sovereignty is built into the system itself, not added as a hosting option, so every AHOY deployment is sovereign. The platform is suited to sectors where data cannot go to a public cloud, such as government, defence, healthcare and energy.

"We built AHOY so that organisations can keep control of their data and still get accurate, well-sourced answers. This result is a useful independent measure of how the system performs on real enterprise documents, and a milestone on a longer path," said Jamil Shinawi, Founder and CEO of AHOY.

EnterpriseRAG-Bench was published with an accompanying research paper. It is open source under the MIT licence.

Leaderboard:

AHOY is a deep-tech frontier lab and infrastructure company delivering Physical AI: infrastructure that perceives, decides, and operates the physical world. The company's modular stack runs on-chip, at the edge, on-prem, and in hybrid cloud configurations to provide auditable action for cities, transportation networks, utilities, sovereign sites, and other complex operational environments. Founded by Jamil Shinawi in 2018, AHOY builds the systems that move, sense, and secure the physical world, operating from offices in Canada, Saudi Arabia, the UAE, the U.K. and others.

AHOY Machine Studio (AMS) is AHOY's unified platform for building, governing and deploying Real-World AI. AMS Core is the control plane for identity, policy, signed releases and audit. AMS Forge is where teams and partners build, test and approve models, agents and applications. AMS Anvil deploys and operates them in the field. AMS is chip-agnostic and runs anywhere from cloud-connected setups to fully offline, air-gapped installations on the customer's own infrastructure, so organisations keep full ownership of their data, models and IP.

Disclaimer: Rankings and scores are as published on the EnterpriseRAG-Bench leaderboard on 3 October 2026 and may change is the property of its owner. No endorsement is implied.

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