AI that answers from what's actually true.
A copilot wired into your systems that can do things safely, or a chatbot that only speaks from your vetted knowledge — never a raw model bolt-on.
An LLM will confidently make things up. Ours doesn't get the chance.
Silent Sentinel runs a grounded sales chatbot on exactly this pattern — a closed-world knowledge base, explicit governance rules, and a 92-test harness, twenty-two of them deliberately adversarial, that a change has to clear before anyone approves it going live.
A curated, versioned set of source documents — nothing outside it is admissible as an answer.
Explicit ALWAYS / NEVER rules the assistant must obey on top of the knowledge base.
A standing regression harness that attacks the live assistant — smoke, adversarial, and chained scenarios — before any KB or rule change ships.
Only what survives all three gates reaches the person asking.
Want a chatbot that can't wander off your knowledge base? Half an hour to see how it's built.
Start a conversationAssistants that can reach real systems, built to the risk they carry.
A back-office assistant that can act on the shop's own data — reads orders and stock, and drafts customer replies — behind a confirm-token gate before anything destructive commits.
An assistant embedded in the camera console, driving a catalogue of around 50 tools against a real camera — not a chat window bolted on beside the controls.
Assistants can take voice as input, not just typing.
Silent Sentinel's camera assistant accepts voice alongside text, reaching the same catalogue of tools either way. Full voice-interface work is its own service.
Tell MAST which piece of work consumes your week. Half an hour is enough to see whether an agentic system is worth building.
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