Intelligine provides a private AI operating system that unifies all AI models, data, and tooling within a customer‑controlled environment, delivering end‑to‑end orchestration, encrypted tenant‑scoped memory, and comprehensive audit logging. The platform enforces governance policies, redacts sensitive information, and ensures full ownership of model weights and data, eliminating vendor lock‑in for regulated enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Large regulated organizations often operate with dozens of disconnected AI tools, lacking a unified audit trail and risking data exposure outside their secure environments. This fragmentation makes it difficult to enforce governance policies, ensure compliance, and maintain control over proprietary data and model ownership.
Solution
Intelligine offers a private AI operating system that consolidates all AI models, data, and tooling within a single, governed control plane deployed inside the customer’s own network—whether cloud, on‑premises, or air‑gapped. The platform provides end‑to‑end orchestration of over 40 public large language models alongside a customer‑owned private model, with routing decisions based on cost, latency, and compliance criteria. Integrated governance layers enforce policy, redact sensitive entities, and generate a complete, exportable audit trail for every prompt and token. Persistent, tenant‑scoped encrypted memory enables contextual continuity across sessions and agents, while an anonymizing egress proxy ensures that any external model calls do not expose internal data. The system is delivered with a rapid 72‑hour minimum viable product and a 30‑day path to production, giving regulated enterprises full ownership of model weights and data while eliminating vendor lock‑in.
Target Audience
Primary customers are regulated enterprises such as banks, insurers, healthcare systems, defense contractors, and other organizations that require strict data residency, auditability, and ownership of AI models.
Features
- Six‑layer architecture (Ingress, Orchestration, Memory, Governance, Model Core, Egress) all operating within the customer’s defined network boundary
- Multi‑model routing across 40+ public LLMs and a private fine‑tuned model with per‑request policy enforcement
- Encrypted, tenant‑scoped persistent memory that retains context across agents, users, and sessions
- Agent framework for autonomous, tool‑accessing agents with full traceability and policy compliance
- Retrieval‑augmented generation that indexes proprietary documents, databases, and APIs for citation‑bound responses
- Real‑time prompt‑level redaction, role‑based access control, and safety rules enforced at runtime
- Comprehensive audit log capturing every token, request, and routing decision, exportable for regulator review
- Anonymizing egress proxy that modifies outbound queries to protect data before leaving the environment