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Sentinel AI Services

The intelligence layer for private wealth.

Documentation for the Sentinel AI wealth-management stack. Covers the Sentinel frontend, Studio middleware, capability backends (Nexus, Zen, agentic, knowledge base, LLM orchestrator, integrations, chatbot), and the AWS + Jenkins infrastructure that runs them all.

v6.1 • production · Changelog · Live app →
Pick your path
10
Repositories

Frontend, middleware, capabilities, and infrastructure — all open in the central index.

9
Microservices

Each owning one vertical: documents, conversation, agents, integrations, KB, LLM routing.

3
Audience tracks

Wealth Managers, Integration Partners, Developers — distinct doors, shared topic axis.

1
BFF gateway

Studio middleware fronts every backend — unified auth, RBAC, service discovery.

Built for Indian wealth management

Sentinel is not a generic AI tool adapted to finance. It is purpose-built for the Indian wealth management ecosystem — from SEBI-aligned guardrails to native CAS document parsing.

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India Data Residency

All data stored in AWS Mumbai. AES-256 encryption at rest and TLS 1.3 in transit.

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Deterministic Analytics

Portfolio calculations use validated formulas — no LLM hallucination in your numbers.

SEBI-Aligned Guardrails

Every AI response carries disclaimers. No unauthorized advice. Full audit trail.

Enterprise Multi-Tenancy

Dedicated environments per partner. RBAC, SSO, and tenant isolation by design.

Reference by topic

Cross-audience reference docs maintained by the platform team.

Need a tour?

Start with the architecture overview to see how the 10 repos fit together.

Architecture overview →