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Use case

AI governance & smart routing — every answer cited, every engine chosen for the job

Regulated AI that cites its sources, monitors itself, and routes each request to the right specialist and model — on-premise for sensitive data, cloud for maximum depth. Live guardrails redact personal data, enforce citations and keep a human in the loop; every action lands in a tamper-evident audit trail.

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>90%
of statements grounded — every answer checked against its source
2
engines auto-routed — on-prem (Qwen) · cloud (Mistral)
Live
guardrails — PII redaction, citation enforcement, human-in-the-loop
Demo in German, English and Spanish
The starting point

Generic chatbots hallucinate, lose the source, and send sensitive data to a single cloud. Regulated teams need cited answers, deliberate model choice, and a hard split between on-prem and cloud.

How it works
1

Routed to the right specialist

Each request goes to the matching specialist and model — on-prem or cloud.

2

Live guardrails kick in

Guardrails redact personal data and enforce citations in real time.

3

Human in the loop, all logged

Where needed a human decides; every action lands in the tamper-evident audit trail.

The outcome
>90%
of statements grounded — every answer checked against its source
2
engines auto-routed — on-prem (Qwen) · cloud (Mistral)
Live
guardrails — PII redaction, citation enforcement, human-in-the-loop
Grounded in

Citation enforcement (>90% grounded), smart routing between on-prem and cloud, tamper-evident audit trail.

Book a demo

See it on your own use case.

30 minutes, scoped to your industry, frameworks and integrations. You leave with a concrete scenario — not a sales loop.