
Unify your systems of record—SIS/LMS, HRIS, CRM, ERP, EHR/EMR, case and document management—into a secure per-user memory layer that powers agents for any industry. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
How to connect your existing systems to AI agents using the Model Context Protocol — step by step.
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Prebuilt agent definitions to deploy as they are or build from — identity, tools, memory, and guardrails already written. You own the code, so every template is yours to edit, extend, and rename.
How ibl.ai compares
An Ownable AI Operating System.
OS by ibl.ai connects your systems of record—SIS/LMS, HRIS, CRM, ERP, EHR/EMR, case and document management—over an MCP-based interoperability layer to assemble a secure, per-user memory.
That memory gives your AI agents the right context whichever industry you operate in—so every frontline team gets an assistant that knows the account, the case, or the patient, and every IT leader a compliance-ready platform.
Deployed in your infrastructure with your keys and your controls—including full code access.
The ibl.ai platform supplies the secure memory layer and connectors, the agent runtime and governance plane, and the analytics that show what your agents actually did.
It runs on your infrastructure, against any model, with the source code delivered to you—an ownable AI operating system for any industry.
Agentic OS reasons over a unified knowledge layer. Here's why that ontology comes first, and how it's built.