Agentic AI safety · regulated finance
Agentic AI safety infrastructure for financial institutions.
Not a chatbot. Not a RAG wrapper. A control layer for financial AI interactions.
Craxas governs customer-facing AI before it becomes an answer, action, or escalation — preventing unsupported responses, unsafe autonomy, and untraceable decisions.
Private proof shown by appointment · synthetic data only.
The interaction control plane for regulated financial institutions.
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Tap a step to inspect the control path.
Classifies the customer moment before any AI response is allowed.
- Confident unsupported answer
- Unsafe product nudge
- Late human escalation
- Weak audit trail
- Relationship risk missed
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Tap any item to inspect its control flow.
Why AI inside financial institutions needs more than ‘just’ answers.
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Customer-facing AI becomes risky when it answers or acts beyond approved policy.
Craxas uses safety-shielded policy learning to improve next-best-action recommendations — without allowing agents to freely experiment on customers.
A control plane between any AI channel and the core systems.
Hover, tap, or focus a control to inspect the Craxas layer ↓
Tap a control to inspect the Craxas layer.
Craxas requires approved evidence before a customer-facing answer is allowed.
Safety-Shielded Policy Learning
Next-best actions are evaluated offline before they reach customers or systems.
Agentic AI safety: specialized agents may reason, retrieve, classify, route, or recommend — only inside bank-approved boundaries.
- Synthetic + shadow data
- Outcome signals
- Human-review feedback
- Evidence
- Consent
- Suitability
- Escalation rules
- Answer
- Abstain
- Route
- Educate only if safe
Supports supervised policy learning, contextual bandits, and constrained offline reinforcement learning as institution data becomes available.
By appointment
The proof surface is private.
The public site shows the thesis. The private demo shows the proof: evidence gates, safety-shielded policy learning, and institution-ready review paths — using synthetic data only.
Full product walkthroughs are shown privately using synthetic data. Production deployments require institution-approved data, model access, and review controls.