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ibl.ai With Your LMS: Sits Beside, Not Instead Of

Miguel AmigotMay 28, 2026
Premium

ibl.ai isn't a replacement for your LMS. It's an Agentic OS that plugs into Canvas, Moodle, Blackboard, Cornerstone, Docebo, and D2L Brightspace — adding AI agents without a rip-and-replace.

"Do I have to replace my LMS?" No.

When institutions evaluate ibl.ai, the first concern is often a misread: that adopting agentic AI means tearing out the Canvas, Moodle, Blackboard, Cornerstone, Docebo, or D2L Brightspace deployment they've spent years on.

It doesn't. ibl.ai is an Agentic OS — an AI layer that sits alongside your existing LMS, not in place of it.

The integration model: LTI, APIs, and MCP

The platform connects to your LMS the way modern enterprise software is meant to: through standard interfaces.

  • LTI 1.3 for Canvas, Blackboard, Brightspace, Moodle, and other LMSs.
  • APIs for your SIS, CRM, HRIS, and ERP.
  • MCP-based interoperability for the per-learner memory layer.

Faculty launch AI agents from inside the LMS they already use; administrators govern access from a single platform; data stays governed at the university or course level.

What ibl.ai adds — on top of the LMS, not replacing it

Your LMS still runs courses, grades, and content. ibl.ai adds the AI agent layer the LMS wasn't built to provide.

  • Tutoring and advising agents inside the course experience faculty already know.
  • Retention and student-success agents that read engagement signals across SIS + LMS.
  • Faculty productivity agents for course design, assessment, and content review.
  • Workforce training agents for L&D teams running Cornerstone, Docebo, or Brightspace at scale.

Higher Ed and workforce: same model, different LMS

For universities standardized on Canvas / Blackboard / Moodle / D2L Brightspace, ibl.ai layers agentic capability without disrupting the existing investment. For workforce L&D teams on Cornerstone, Docebo, SAP SuccessFactors, or Workday Learning, the same Agentic OS plugs in via APIs.

In both cases, the LMS is preserved; ibl.ai adds the AI capabilities the LMS doesn't ship with.

Why the "sits beside" framing matters

Many education and workforce buyers default to existing LMS-darling vendors when they consider AI — partly because rip-and-replace is the assumption. It shouldn't be.

A safe, complementary AI layer is a lower-regret choice than swapping out an LMS, and it gets faculty and L&D leaders to ROI without a multi-year migration project.

Getting started

Agentic OS is the platform layer; the Higher Education solution and Enterprise solution cover the integration patterns. If you're evaluating LMS-plus-AI options, the question to ask is not "which LMS replaces ours" — it's "which AI layer plugs into ours cleanly."

Talk to the ibl.ai team about LMS integration, or see the SUNY case study for a multi-campus rollout that did exactly this.

Why does owning the AI stack matter?

ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.

  • You own all the code and the data

    Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.

  • Model-agnostic

    Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.

  • No per-seat pricing

    Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.

  • Deploy anywhere

    Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.

1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.

ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.

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Higher EducationSeptember 18, 2025

ibl.ai at GWU for Student Success and Faculty Support: 85% Cheaper than ChatGPT and 75% Cheaper than Microsoft Copilot

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Higher EducationDecember 8, 2025

How ibl.ai Fits (Beautifully) Into Any University AI Action Plan

This article shows how ibl.ai—an on-prem/your-cloud AI operating system for educators—maps directly to university AI Action Plans by delivering course-aware agent guidance, faculty-controlled safety, and first-party analytics that tie AI usage to outcomes and cost.

Higher EducationOctober 6, 2025

How ibl.ai Keeps Faculty at the Heart of the ibl.ai Experience

This article explains how ibl.ai keeps instructors at the center of teaching with an LLM-agnostic, faculty-controlled platform that delivers grounded answers from course materials, streamlines grading and content prep, and integrates directly with campus systems—cutting costs while preserving academic rigor and the human connection in learning.

Jeremy WeaverAugust 15, 2025

See the ibl.ai AI Operating System in Action

Discover how leading universities and organizations are transforming education with the ibl.ai AI Operating System. Explore real-world implementations from Harvard, MIT, Stanford, and users from 400+ institutions worldwide.

View Case Studies
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Pilots, deployment, and full ownership

Most enterprise engagements are one-time, not subscriptions. You integrate ibl.ai with your own data, deploy it on your own infrastructure, and the engineering hours scale with the work — so the price tracks the scope, not your headcount.

Start here

Pilot

from $15K

fixed scope · fixed timeline

A time-boxed proof of value on your real data — not a slide deck.

Best for: Teams that want to see ibl.ai working before committing.

  • Deployed on your infrastructure or our cloud
  • 1–2 production agents wired to a slice of your data
  • One integration (LMS / SIS / SSO / data source)
  • Weekly working sessions with our engineers
  • Pilot fee credits toward a full engagement
Scope a pilot
Most common

Integration & Deployment

$25K – $80K

one-time · not a subscription

Full deployment integrated with your data and systems. Engineering hours scale with scope.

Best for: Organizations rolling ibl.ai out across a department, campus, or business unit.

  • Platform deployed in your VPC, on-prem, or air-gapped
  • Integrated with your data + identity (SSO / SAML)
  • Multiple custom agents built to your workflows
  • Engineering hours proportional to scope
  • You own the data · run any LLM you choose
Plan a deployment
Full ownership

Codebase Transfer + Custom AI Engineering

Six figures

perpetual license · you own the stack

We transfer the full source code. You own and self-host the entire platform — outright.

Best for: Government, defense, and enterprises that require perpetual ownership and sovereignty.

  • Complete source-code transfer + perpetual license
  • Dedicated AI engineering team on your roadmap
  • Custom agents, models, and integrations to spec
  • Air-gapped capable · zero vendor lock-in
  • Family-owned, New York–based long-term partner
Talk about ownership
You own the code and data Run any LLM — Claude, GPT, Gemini, Llama Family-owned & operated from New York, NY