Eight products live. Two on the way. One decision framework.

Free 8-domain compliance readiness assessment — the top of the funnel.

Every prospect's fixed reference point. Radar scores your organization across 8 domains in ~12 minutes and produces a prioritized remediation plan that hands off into the rest of the suite.

Continuous clinical AI governance — bias, drift, and accreditation-readiness.

The flagship paid product for healthcare. Slant monitors clinical AI models for bias across patient subgroups, tracks drift over time, and produces ACR / IAC / TJC accreditation-ready reports.

Continuous oversight infrastructure for any AI stack — model-agnostic.

Catches unsafe reasoning, drift, and bias before they reach customers, across whatever LLM or ML tools a client runs. Trace Logic, an 8-domain Ethics Gate, and anomaly detection — not healthcare-specific.

Forward-looking AI momentum score with a Tension Resolver.

A free 3-minute AI momentum score that reconciles ambition against actual governance readiness. When Signal's optimism outruns Radar and Sentinel posture, it flags the gap in plain language.

AI ethics — define, score and attest the guardrails the rest of the suite runs on.

The suite's ethics layer. Compass maps your obligations to the frameworks that impose them, scores each proposed AI use against the guardrails, derives the timeline those obligations fall due on, and produces the attestation an auditor will accept. It is one of the four instruments that emit a score into the Senticit Intelligence Score.

Continuous compliance monitoring — always-on evidence collection and control health.

Formerly Vigil. Ledger turns audit preparation into a background process: it collects evidence continuously, monitors whether each control is actually working, and assesses continuity so a control that quietly stopped running is visible now rather than at the next audit.

Executive risk telemetry — a live, board-ready view of technology and security risk.

Pulse scores risk across internal environments, third parties and AI systems, aggregates it to the portfolio level, and produces the board summary — replacing a static quarterly deck with evidence of which safeguards are working today. It also reports the basis of its own posture, so a reader can see what the number rests on.

AI policy workspace — author, version and operationalize the policies you are judged on.

Atlas is where AI policies are written, revised with an integer version history, and turned into operational controls with a named owner. It grades how enforceable a policy actually reads, and reports what the latest revision DID — including the case where a policy's score rose while it quietly stopped saying "must".

Autonomous-agent monitoring — discover every agent, baseline it, catch drift.

The agent layer's eyes. Most organisations cannot say how many autonomous agents they run or what those agents can touch. Tether discovers every agent it can reach — including shadow agents — baselines how each one behaves, and flags drift against that agent's own history. It observes and proves; it never sits in the execution path.

Agent-workflow governance — trace the workflow, approve the risky steps, prove the chain.

The agent layer's record. When agents chain steps and hand off to one another, there is no account of why the workflow acted. Marshal traces every step, raises a named human approval where risk demands it, and hands auditors the whole chain. Its gates are approval checkpoints: it governs alongside the pipeline and never halts it.