AI Intime

AI Intime is a sovereign AI control plane designed for large enterprises in regulated industries like manufacturing, BFSI, healthcare, defense, and R&D. Unlike generic copilots, it enables organizations to deploy GenAI agents that reason, act, and execute inside systems of record—under defined policies, human oversight, and continuous governance. The platform operates on-premises or air-gapped to ensure data sovereignty and compliance, integrating deeply with ERP, CRM, data lakes, and domain-specific platforms. The process begins with deep discovery to map workflows, then builds custom AI agents native to the environment. Governance, safety, observability, and compliance are embedded from the ground up. AI Intime's partnership-first model ensures reliability in production, addressing the gap in context and control that causes 95% of enterprise AI pilots to fail (per MIT research). Key capabilities include knowledge management at scale with RAG, R&D acceleration compressing material discovery cycles by up to 40%, supply chain disruption prediction, and regulatory compliance monitoring. The platform offers custom connector delivery in as little as 30 days and real-time data stream ingestion. AI Intime is built for accountability over capability, with role-based access control, audit trails, and no vendor lock-in. It competes with platforms like Palantir and Dataiku but focuses on operational depth rather than demo-friendly features, making it suitable for organizations serious about moving AI from pilot to production.