High-Level Platform Layers & Data Flow
Agents
Autonomous task execution across the platform
ibl.ai Switchboard Layer
Routing
Request orchestration & MCP
Security & Guardrails
Role-based access control
LLMs (Model Agnostic)
GPT, Claude, Gemini, open-source — swappable
Ontological Layer
Structured knowledge, semantic relationships
Data Lake
Unified institutional data store
Apps & Data Silos
SIS, LMS, CRM, third-party systems
ibl.ai is an Agentic AI Operating System organizations deploy on their own infrastructure. The stack spans a data and integration layer, a per-entity memory layer, an agent orchestration layer, and model-agnostic LLM routing — so you can swap providers without rebuilding.
Agents connect to your existing systems — LMS, SIS, CRM, and ERP — through MCP-based interoperability. Each agent has defined roles, access controls, and review cycles, and every interaction runs through the platform’s safety and moderation layer.
Deploy in the cloud, on-premise, or fully air-gapped. You keep full source code, full data control, and the freedom to run any LLM — OpenAI, Anthropic, Google, Meta, or self-hosted open-weight models.