The analytics engine for high-stakes decisions

We build one core capability — reading complex records and turning them into deep, visual, comparative analytics — and apply it where decisions carry the most weight. Seven products prove it today, each an application of the same engine, not seven separate companies.

Insurance is where we proved the model first. Our product, PolicyLens, compares carrier policies, decodes guarantees, answers analytical questions, and drafts recommendations.

For federal decision-makers, that same engine becomes CLEAR, which crosswalks DoD cost-accounting requirements (CAS, DFARS) to their commercial equivalents (GAAP, SOX, COSO) and derives, per supplier, what an auditor can rely on instead of re-verifying — and Proposal Intelligence, which aggregates federal contracting data into a searchable knowledge graph for business-development teams, and TRACE, which crosswalks aspirational autonomy language into testable, contractible requirements, and PARE, which crosswalks FAR/DFARS clauses to the authority behind them for the Revolutionary FAR Overhaul, and CEDAR, which crosswalks draft requirements to the commercial market that could satisfy them, and TETHER, which crosswalks an AI-enabled workflow against the doctrine and policy that govern human-machine teaming. All are built for controlled, air-gappable environments from the start.

We're small, technical, and deliberate. We'd rather ship one tool that holds up under scrutiny than ten that only work in a demo — because the decisions we support are ones people have to defend.