Align capability with accountability.
We help organizations build evaluation, oversight, and governance programs that keep pace with the systems they deploy.
About
Closing the gap between AI capability and institutional readiness.
Safety evaluation, governance architecture, and decision support for organizations deploying advanced AI systems.
The syntony thesis
Syntony means coordinated tuning. For advanced AI, the coordination problem is sociotechnical: model capabilities, deployment pressures, monitoring, legal obligations, and institutional decision-making all interact.
AI safety is a pattern of evidence and control, not a single benchmark or compliance checkbox. It requires understanding what a system can do, how it can fail, who decides, and how quickly intervention can happen.
We work where technical evaluation becomes institutional action: adversarial testing that informs controls, governance design grounded in observed system behavior, and research that decision-makers can act on.
01Why the firm exists
From technical findings to institutional decisions.
Technical teams produce findings. Legal, policy, and executive teams need decisions. We bridge that gap.
01
Capability without controls
Capability can outpace review cycles, risk taxonomies, and escalation paths.
02
Evaluation without uptake
Testing results matter only when tied to ownership, severity, and remediation timelines.
03
Governance without evidence
Governance frameworks become brittle without grounding in observed system behavior.