Technologies - Role Aware AI Agents
Enterprise Intelligence Engine
Deploy secure, auditable AI assistants trained on your enterprise data—including chats, emails, documents and images—enabling instant, accurate answers without exposing sensitive information. With privileged access control and full traceability, these AI assistants support legal, compliance, finance, and operations, empowering business leaders with faster, crystal-clear decision-making while maintaining enterprise-grade security, control, and auditability.

Why Choose Enterprise Intelligence Engine ?
Streamline your regulatory data security needs with one integrated compliance solution
Key Features That Address Your Business Needs
Read what others are building with us




Our Tech Stack
Frequently Asked Questions (FAQ)
What Makes the Enterprise Intelligence Engine different from other AI ChatBots ?
Unlike generic chatbots, our platform builds a private knowledge system from your internal data — like emails, chats, and files — and uses Relationship-Based Access Control (ReBAC) to ensure that only the right users get the right answers. It’s not just smart — it’s compliant, contextual, and secure.
Can we control what data the AI sees and responds with?
Yes. Every query and response goes through a policy enforcement layer based on ReBAC. That means access is determined by your org structure, user roles, and relationships — not just file permissions.
Is this safe for sensitive data like contracts, finance records, or HR files?
Absolutely. Our system is designed with security-first architecture, including: Verifiable Credentials (VCs) and Decentralized Identifiers (DIDs) for data provenance Audit logs that show exactly where every answer came from Multi-tenant isolation to ensure total separation between teams or clients
Do we need to move our data into your system?
No. You don’t have to move anything. We offer native adapters for Microsoft 365 (Teams, Mail, SharePoint), which pull only the required metadata and content securely. No need for mass migrations or manual tagging
Can we build domain-specific agents (e.g., LegalGPT, FinanceGPT)?
The SSI Playground is a hands-on, interactive environment where developers can test SSI concepts, explore the features of the suite, and experiment with decentralized identity solutions before going live.
What technologies power this system?
Our stack includes: LangChain for orchestration Vector DB (e.g., Chroma, Weaviate, etc.) Supabase for metadata & user mapping Dockerized, multi-tenant deployment model Open API & plugin support for integration












