About ibl.ai

ibl.ai is an Agentic AI Operating System that organizations deploy on their own infrastructure with full source code and data ownership. It supports any LLM, any cloud, and 160+ AI agent templates — at 85% lower cost than per-seat alternatives. Used by 1.6M + users at 400+ organizations including NVIDIA, Google, MIT, Syracuse University, and George Washington University across higher education, enterprise, government, K-12, legal, financial services, and healthcare.

ibl.ai eliminates vendor lock-in. Organizations choose any LLM provider, deploy on any infrastructure, and pay only for what they use — not per seat. Self-serve plans run on rechargeable credits — a budget cap you set, pooled across every user, model, and agent, with no per-seat fees and auto-refill opt-in. Enterprise engagements are one-time, not subscriptions: a pilot from $15K, full integration and deployment at $25K–$80K, or a six-figure codebase transfer that hands you the full source under a perpetual license with complete data sovereignty. Unlike ChatGPT, Copilot, or Gemini licenses at $20-60/user/month locked to one vendor, ibl.ai costs a fraction at any scale — and you own everything you run.

At the center of the platform is Agentic OS — the flagship and single most important product, the core AI operating system that every other ibl.ai product is built on. It unifies institutional data via MCP-based interoperability, powers the AI agents, and provides the shared per-learner memory, model-agnostic LLM routing, identity/SSO, and governance layer that the rest of the products run on top of as modules: app development (Agentic Vibe), learning management (Agentic LMS), course design (Agentic Course), video production (Agentic Video), and verifiable credentials (Agentic Wallet). Professional services include AI transformation, forward-deployed engineering, Claude agent development, AI NYC studio production, and faculty enablement.