What we do
The layer that makes AI accountable.
Reform Intelligence operates upstream of AI deployment, providing the evidence institutions need to trust the systems they rely on.
The evaluation and governance layer
Reform Intelligence does not build AI. It builds the evaluation and governance layer that sits upstream of every serious AI deployment: the frameworks, instruments, and standards institutions use to measure readiness, detect drift, and govern autonomous systems. This is the layer that turns AI from an unmanaged risk into an accountable capability.
Capabilities
Deployment readiness evaluation
Before an AI system is put into production, it should be independently assessed against the claims made for it. Reform Intelligence provides structured, repeatable evaluation of whether a system performs as stated, where it fails, and what it should not be trusted to do.
Reliability drift measurement
Models do not stay the same. Their behavior shifts as inputs, data, and conditions change. Reform Intelligence measures that drift over time, so degradation and emerging failure modes are caught before they cause harm.
Agent governance and containment
Autonomous systems that take actions on their own raise a different class of risk. Reform Intelligence develops the standards and controls that keep agentic systems bounded, observable, and accountable.
Governance integration
Evaluation is only useful if it reaches the people who make decisions. Reform Intelligence builds evaluation evidence into the enterprise risk, audit, and compliance systems that boards and regulators already rely on.
Our approach
Measurement science, not machine learning.
Our discipline is measurement science, not machine learning. Our methods are transparent, auditable, and methodology-first, so a result can be examined and trusted rather than taken on faith. We preserve our independence by taking no revenue from the model providers whose systems we evaluate. That independence is what gives our evidence its weight.
How to start
Institutions typically begin with a research advisory engagement or a pilot evaluation program. Both are designed to deliver value quickly while establishing the standards a longer relationship is built on.
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