Agentic OS (Operating System) icon

Agentic OS (Operating System)

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.

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MCP Architecture Guide

How to connect your existing systems to AI agents using the Model Context Protocol — step by step.

Read the Guide

How ibl.ai compares

ibl.ai
Model choice
Any LLM — Claude, GPT, Gemini, Llama or open-source. Switch anytime.
Locked to Anthropic Claude models
Autonomous agents
Production-ready agents out of the box — plus the tools to build your own.
Chat assistant — you build & host your own agents
Privacy & ownership
100% self-hosted — private LLMs included. You own all the code, data & models.
Runs on Anthropic's cloud — your data leaves your walls
Cost at scale
Up to 85% lower — intelligent routing across providers, no per-seat lock-in.
Per-seat & per-token SaaS pricing
Delivery & services
Our engineers work with you to connect your data sources and build your agents.
Self-serve docs & standard support tiers

OS (Operating System) — Unify your systems of record into a secure memory layer

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.

For Your Frontline Teams: Context-Rich, Role-Aware Agents

Unified Entity MemoryHistory, entitlements, open work, and prior contacts for whatever your organization tracks—a learner, an employee, a citizen, a client, a matter, or a patient—federated from your systems of record and made available (with policy guardrails) to that record's agent.
The Agents Your Teams Use DailyKnowledge retrieval across every connected system, front-line support, case and account assistance, and IT help desk—each citing the source it used.
Privacy by DesignFine-grained consent and selective disclosure, so an agent answers only from what that user is already permitted to see.
ResultFaster answers, fewer escalations, and less time lost hunting across systems.

For Operations & Program Owners: Agents That Run the Work

Operational Context, Not GuessworkPulls queues, records, budgets, and system logs to draft status reports, summaries, and responses grounded in what actually happened.
Workflow AutomationsCompliance reporting, renewal and deadline alerts, and reconciliation workflows—always citing approved policies and procedures.
Operational ControlDepartment-level policies, versioned prompts, and cost and usage dashboards.
ResultMore time on the mission, less on manual coordination and reporting.

For IT & Security: Own the Stack, Control the Risk

Runs in Your EnvironmentDeploy on-prem or in your cloud (AWS, Azure, GCP), in GovCloud, or fully air-gapped. Your VPC, your KMS, your IAM—no external data dependencies.
Full Code Access (No One Else Offers This)You receive source access to connectors, policy engine, and agent interfaces—no vendor lock-in.
Governance & ComplianceFERPA, HIPAA/HITECH, SOX, PCI DSS, GDPR, and NIST 800-53 support with SOC 2-aligned controls, RBAC, audit logs, retention, and data residency options.
Observability & Cost ControlUsage telemetry, model costs, performance traces, and red-team/replay tools for safe iteration.
ResultMaximum privacy, predictable cost, and accelerated AI roadmaps—under your control.

What OS Connects (Examples)

SIS / LMSBanner, PeopleSoft, Workday Student, Canvas, Blackboard, Brightspace, Moodle
HRIS / ERPWorkday, Oracle, SAP, Microsoft Dynamics
CRM & ServiceSalesforce, HubSpot, Slate, ServiceNow, Zendesk
EHR / EMREpic, Cerner, Meditech
Documents & CasesiManage, NetDocuments, OpenText, SharePoint, Clio, Litify
Identity & StorageAzure AD/Entra, Okta, Google Workspace, OneDrive/SharePoint, S3, GCS

What's Inside OS (Architecture Highlights)

MCP Integration LayerNormalizes access to your systems of record via secure adapters
Entity Memory LayerPer-record knowledge graph + vector index with policy-aware retrieval
Policy & Guardrails EngineField-level permissions, PII redaction, consent, rate/usage limits
Agent InterfacesStandard front-line, operations, and administrative agent surfaces
Model Hub (LLM-Agnostic)OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable
Event Bus & AutomationsTriggers for risk alerts, milestones, and follow-ups
Audit & TelemetryEnd-to-end logs, prompt/response archives, cost and latency meters
Admin ConsoleConnectors, schemas, dataset scopes, memory visibility, and policy editing

Why OS Outperforms Typical Integration Hubs

Entity Memory LayerOS: Policy-aware, per-record context | Typical: No unified memory
Runs in Your InfraOS: Your VPC, keys, IAM | Typical: Vendor cloud only
Full Code AccessOS: Source delivered, extensible | Typical: Black box / SDK limits
LLM-AgnosticOS: Swap models freely (incl. local) | Typical: Single-model dependency
Regulated-Industry GovernanceOS: FERPA/HIPAA/SOX/NIST-ready, selective disclosure | Typical: Generic role gates
Agent-ReadyOS: Standard agent interfaces | Typical: DIY agent plumbing

Benefits That Drive Impact

Frontline TeamsTimely, contextual help grounded in the systems they already work in.
Operations & Program OwnersA dependable assistant informed by real operational data, not guesswork.
Leadership & ITA private, ownable AI foundation—no lock-in, full auditability, rapid innovation.

ibl.ai

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.

Experience OS Today

Architecture ReviewMap your systems of record and security requirements
Private PilotDeploy in your cloud with your datasets and policies
Schedule a DemoSee how OS unifies data, safeguards privacy, and powers agents—with code you own.

What our partners say about us

Chris Gabriel

Chris Gabriel | Google

Lorena Barba

Lorena Barba | George Washington University

Dr. Juana Mendenhall

Dr. Juana Mendenhall | Morehouse College

Juile Diop

Juile Diop | MIT

Adam Tetelman

Adam Tetelman | Nvidia

Jason Dom

Jason Dom | American Public University System

Benjamin Breyer

Benjamin Breyer | Columbia University

Ken Fujiuchi

Ken Fujiuchi | SUNY

Erika Digirolamo

Erika Digirolamo | Monroe College

David Flaten

David Flaten | SUNY

David Vise

David Vise | Modern States Education Alliance

Linda Wood

Linda Wood | ARM Institute (U.S. Department of Defense)

Chris Gabriel

Chris Gabriel | Google

Lorena Barba

Lorena Barba | George Washington University

Dr. Juana Mendenhall

Dr. Juana Mendenhall | Morehouse College

Juile Diop

Juile Diop | MIT

Adam Tetelman

Adam Tetelman | Nvidia

Jason Dom

Jason Dom | American Public University System

Benjamin Breyer

Benjamin Breyer | Columbia University

Ken Fujiuchi

Ken Fujiuchi | SUNY

Erika Digirolamo

Erika Digirolamo | Monroe College

David Flaten

David Flaten | SUNY

David Vise

David Vise | Modern States Education Alliance

Linda Wood

Linda Wood | ARM Institute (U.S. Department of Defense)

Frequently Asked Questions