Put independent human judgement into operation
RATE AI can perform a defined share of HITL / human-in-the-loop review, triggered and sampled review, exception handling, escalation and high-consequence human judgement around deployed AI.
RATE AI embeds external, independent human judgement into consequential AI operations, preserves decision traceability and strengthens dependency resilience as AI scales.
A single institutional view that connects systems, jurisdictions, sectors and human consequence into one global picture.
One comparable rating language across the market. Public releases show the aggregate field; named system positions, evidence gaps, dependencies and comparative distance remain confidential.
RATE AI helps organisations build and operate reliable AI by combining independent human oversight, durable decision traceability, dependency resilience and an external intelligence field already measured.
RATE AI can perform a defined share of HITL / human-in-the-loop review, triggered and sampled review, exception handling, escalation and high-consequence human judgement around deployed AI.
Each reviewed case can retain the AI output, human judgement, intervention, escalation, authority and final disposition in a durable record.
Identify critical AI dependencies and strengthen the organisation’s ability to substitute, fail over and continue when models, providers or operating conditions change.
Use RATE AI ratings, Census, evidence and continuous intelligence to place each oversight perimeter inside a wider measured field.
Four views of the completed field: global, East Asia, Europe and North America. Each begins with the decision implication, then opens into the evidence behind it.
Explore public intelligenceAcross 525 assessed systems, the global field resolves to CCC. 498 systems carry ratings, and 150 reach T≥90, where the position can be checked point by point against public evidence.
East Asia is the largest jurisdiction group in GEN1: 151 systems, a DDD aggregate position, mean public-evidence coverage of 46.7%, and one position at T≥90.
The European Union and the United Kingdom both resolve to B. The EU has 42 of 79 positions at T≥90; the UK has 14 of 22.
North America resolves to B across 163 systems, with mean public-evidence coverage of 85.5% and 83 positions at T≥90.
Human judgement, evidence, dependencies and external conditions continue to move after deployment.
Defined human review, escalation and intervention performed independently on the cases that matter.
A contemporaneous, versioned record of what the AI proposed, what the human decided and how the case was resolved.
Material change is connected to the exact systems and dependencies affected so the organisation can intervene, substitute and change course.
Short public intelligence. The named systems, comparative distance and exact affected perimeter stay inside confidential mandates.
Publication infrastructure repeatedly turns governance into independently checkable evidence.
Read the signal →122 systems sit between benchmark high-risk status and the binding classification currently in force.
Read the signal →Half of the healthcare positions can already be checked at source.
Read the signal →For many systems, a stronger external position is only a small, identifiable evidence distance away.
Read the signal →RATE AI connects its measured external field to live human oversight, decision traceability, independent monitoring and dependency resilience over time.