# ibl.ai

> Source: https://ibl.ai/

## Your Organization's AI, Under Your Control

for Universities | Corporations | K-12 | Government

Sovereign AI infrastructure to build your agents and apps. You own all the code and the data, unified across your ecosystem, for privacy, security and control. No need to choose [build vs. buy](https://ibl.ai/build-vs-buy) – you get both.

Family-Owned & Operated from New York, NY. | SOC 2 Type II Compliant

[Get Started Free](https://ibl.ai/join) | [Download & Own Your AI](https://ibl.ai/download)

Partner with us? [Connect your data and build your AI-native organization](https://cal.com/iblai/30min)

[Bring us a hard problem. Keep the code.](#pilot)

[Higher Ed](/solutions/higher-education) | [Enterprise](/solutions/enterprise) | [K-12](/solutions/k-12) | [Government](/solutions/government)

### Key Differentiators

- **Your Code. Your Data.** — Full ownership, zero vendor lock-in
- **Any LLM, Your Choice** — Works with all major providers
- **85% Lower Cost** — Significantly cheaper at scale
- **AI Transformation** — Pre-existing and custom agents

[Calculate Your AI Costs](/ai-cost-calculator) | [Check Your AI Readiness](/ai-readiness-assessment)

[Self-Hosted AI & Private LLM](/self-hosted-ai) | [See Build vs. Buy](/build-vs-buy)

[Need deeper integration?](/contact) Our engineers build data connectors and sandboxed agents wired in your systems.

### Social Proof

- **1.6M+** Users
- **400+** Organizations
- Trusted by: Syracuse University, SUNY, Google, NVIDIA, Kaplan

Don't take our word for it? [See what our partners say](/case-studies)

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## Built to answer the three hardest questions about enterprise AI.

Cost, data exposure and whether an agent can do real work. Here is how ibl.ai answers each one.

### "AI is insanely expensive."

Only because you are buying a commodity at monopoly prices. Any model a few months behind the frontier is interchangeable with the next one.

A model-agnostic platform lets you pay usage rates, move to whichever model is good enough, and cap the budget yourself.

Go deeper: [How ibl.ai pricing works](/pricing) | [Per-seat AI cost, the real math](/ai-cost-calculator)

### "Who exposes our financial data to an AI company?"

Nobody should. The agents, the connectors and the data run behind your firewall.

Nothing on the public internet can reach them, not because a contract promises it, but because the firewall prevents it.

Go deeper: [Air-gapped deployment](/service/air-gapped-ai) | [Platform architecture](/architecture)

### "Answering questions over my PDFs is not an agent."

Agreed. Each ibl.ai agent gets a sandboxed server where it writes and runs scripts against gigabytes of data that will never fit in a context window.

Go deeper: [How agent sandboxes are configured](/docs/os/agent-settings/sandbox) | [The Agentic OS platform](/product/agentic-os)

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## Agents with a server attached, not a chat window.

A chatbot answers from what fits in a context window. An ibl.ai agent writes and runs code to get the answer.

Operational data is measured in gigabytes; a context window is not. Each agent runs in its own sandbox where it can write a script, query a file system or database, call an API, and check its own work before answering.

That is what turns asking your PDFs into automation, financial intelligence and multi-system workflows.

- **Gigabyte files.** Reads a four-gigabyte budget export by writing the script on the spot, not by stuffing it into a prompt.
- **Scheduled automation.** Runs a scheduled job over data that never leaves your network, with zero retention by any model vendor.
- **Multi-system runs.** Reads one system, writes to a second, sends the report to a third person, in one run.

Go deeper: [How agent sandboxes are configured](/docs/os/agent-settings/sandbox) | [Platform architecture](/architecture) | [Self-hosted enterprise AI platforms](/blog/best-self-hosted-enterprise-ai-platforms-2026)

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## Who owns what, and what happens if you leave?

### Behind your firewall, by construction.

Agents earn their keep by reaching your sensitive systems: finance, HR, customer records, operations. So the whole runtime deploys inside your perimeter, on your cloud, on-premise or air-gapped, with local models if you want them.

Every query is logged and auditable, so when a leader's number disagrees with a report, you can trace how the agent got it.

Go deeper: [Network setup for your infrastructure team](/developer/platform/infrastructure/ontology-sandbox-network) | [Air-gapped deployment](/service/air-gapped-ai)

### Fire us and keep everything.

On ibl.ai you own all the code and the data, and the platform runs on infrastructure you control. There is no ten-year contract and no exit fee.

End the relationship tomorrow and the platform keeps running with your team. Ask whoever else you are evaluating whether they will write the same terms.

Go deeper: [Full code license](/full-code-license) | [Download and self-host](/download) | [Build versus buy](/build-vs-buy)

---

## Supporting 1.6M+ Users from 400+ Organizations

Harvard University, Stanford University, MIT, UC Berkeley, University of Chicago, Yale University, Princeton University, University of Pennsylvania, California Institute of Technology, University of North Carolina, University of Michigan, University of Texas at Austin, Columbia University, Cornell University, University of Washington, University of Virginia, Duke University, University of Southern California

---

## Featured Solutions: Start for Free

LLM-agnostic AI agents for training, knowledge management, content creation, and operations. You get the full codebase and data ownership from day one.

Our team works alongside yours to build, deploy, and support every agent on your infrastructure.

[Syracuse University Testimonial](https://www.linkedin.com/feed/update/urn:li:share:7399157983726706693) | [85% Lower Cost at Scale](/pricing) | SOC 2 Type II & FERPA Compliant

### Agentic OS

Ownable AI operating system with interfaces for end users, managers, and administrators.

### ibl.ai

AI agents and copilots for employees, learners, and managers across any organization.

### AI Transformation

Our engineers build and deploy custom AI agents wired into your existing systems.

### Agentic Video

AI-powered video generation and editing for training and content creation.

---

## Subscribe to updates

[View all updates](https://ibl.ai/updates)

Get every release note as it ships — pick whichever channel you already use.

- **RSS feed** — Add to any RSS reader: ibl.ai/updates/feed.xml
- **Follow on LinkedIn** — Follow the page, then use the bell icon to turn on notifications. (https://www.linkedin.com/company/iblai/)
- **Watch on GitHub** — Watch any ibl.ai repo → Releases for every tagged build. (https://github.com/iblai)

---

## What our partners say about us

"ibl.ai does amazing work and are great people."

— Paul LeBlanc, Former President and CEO of Southern New Hampshire University, 2003 to 2024

### Chris Gabriel | Google *(Technology)*

"ibl.ai is at the forefront of generative AI, delivering cutting-edge solutions that empower institutions with full ownership of their code and data."

[Case study](https://cloud.google.com/find-a-partner/partner/iblai)

### Robert Henry | Microsoft *(Technology)*

"What set ibl.ai apart for us is their commitment to institutional control. Their platform taps into the NPU (neural processing unit) on Microsoft Surface Copilot+ PCs to offer offline AI experiences that feel as fast as the cloud."

### Adam Tetelman | Nvidia *(Technology)*

"ibl.ai was a game-changer for me. Working with the team was easier than working with any engineering team I've ever had to deal with."

### Jeff Rubin | Syracuse University *(Higher Education)*

"We wanted full ownership of our AI platform — the code, the data, the infrastructure. ibl.ai delivered exactly that."

[Case study](https://ibl.ai/case-study/syracuse-university)

### David Heckman, PMP | U.S. Department of Defense *(Government & Defense)*

"The work by ibl.ai supporting an advanced manufacturing initiative for the Defense Industrial Base demonstrated what a true AI mission partner should look like."

[Read every testimonial and case study](https://ibl.ai/case-studies)


## Trusted by Top Brands

Google, Fordham University, MIT, George Washington University, UC San Diego, NVIDIA, Tesla, IBM, Cisco, U.S. Department of Defense, AWS, NYU, NYC, CUNY, SUNY, Kaplan, ACI Learning, University of Illinois, edX, Vermont Oxford Network

---

## Platform Comparison

### Domain-Specific AI Agents

**Typical AI Platforms:** Generic chatbots with no understanding of your workflows or compliance requirements.

**ibl.ai (our solution):** Pre-built agents for education, enterprise, and government with domain-specific workflows and compliance built in.

### Dedicated Onboarding & Support

**Typical AI Platforms:** Self-serve documentation with limited or no human support.

**ibl.ai (our solution):** Hands-on onboarding, training, and ongoing support from our engineering team for your entire organization.

### Code & Data Ownership

**Typical AI Platforms:** Your code and data live on their servers. Switching means starting over.

**ibl.ai (our solution):** You own all the code and the data. Deploy on your infrastructure, leave anytime.

### Hosting Possibilities

**Typical AI Platforms:** Hosted by the vendor or a specific provider.

**ibl.ai (our solution):** Hosted by us or you, wherever you want.

### LLM Choice

**Typical AI Platforms:** Centered around a single provider's LLMs as opposed to all.

**ibl.ai (our solution):** Supports LLMs from OpenAI, Google, Microsoft, Anthropic, Meta and anyone else.

### Developer Platform

**Typical AI Platforms:** No REST API or SDK for your engineers to build on.

**ibl.ai (our solution):** Full OpenAPI-compliant REST API and SDKs for Python and JS.

### Return on Investment

**Typical AI Platforms:** High per-seat costs that scale poorly. Hidden fees for integrations and support.

**ibl.ai (our solution):** Up to 85% lower cost at scale. Transparent pricing with support and integrations included.

---

## Products, Services, Platforms & Integrations

### Products

- **Agentic OS** — Ownable AI operating system for higher education institutions.
- **ibl.ai** — AI agents and copilots for learners, instructors and managers.
- **Agentic LMS** — AI-Powered LMS: Authoring, Delivery, and Analytics—All in One.
- **Agentic Video** — AI-Powered Video for Teaching & Training.
- **Agentic Course** — Design accredited, accessible courses for any LMS.
- **Agentic Wallet** — Issue, verify, and manage portable digital credentials.

### Services

- **AI Transformation** — Custom AI Agent Development & Deployment
- **Faculty Support** — AI Training & Coaching Program
- **AI Avatar Production** — Professional Avatar Creation Service
- **AI NYC Course Production** — Professional Studio Production in NYC
- **AI Mobile Course Production** — On-Location Mobile Production Service
- **Forward-Deployed Engineering** — Forward-Deployed Engineers for Campus Memory Layer

### Platforms

- **N8N Automation** — Open-source workflow automation for vertical AI agents
- **Claude Agents** — Anthropic Claude agents with custom skills and MCP
- **Azure Logic Apps** — Enterprise AI agents for Microsoft campuses
- **Google A2A** — Multi-agent intelligence with Agent-to-Agent protocol
- **Salesforce Agentforce** — CRM-native AI agents with Einstein GPT

### Integrations

- **Canvas LMS** — Seamless integration with Canvas Learning Management System
- **Blackboard** — Connect with Blackboard Learn and Ultra platforms
- **Moodle** — Integration with Moodle open-source LMS
- **D2L Brightspace** — Integrate with D2L Brightspace learning platform
- **Ellucian Banner** — AI-powered automation for Banner SIS & ERP
- **PeopleSoft** — Connect with Oracle PeopleSoft Campus Solutions
- **Workday Student** — Cloud-native SIS integration with unified data model
- **Salesforce Education Cloud** — CRM integration for recruitment and advancement
- **Technolutions Slate** — Admissions CRM for recruitment and enrollment
- **EAB Navigate** — Student success and advising platform integration
- **Jenzabar** — SIS & ERP for small and mid-size institutions

---

## Case Studies

- [Syracuse University](https://www.linkedin.com/feed/update/urn:li:share:7399157983726706693/)
- [Kaplan](https://www.linkedin.com/posts/sgrigala_ai-study-tools-and-ai-learning-tools-from-activity-7385342482005270528-5_Af/)
- [Google](https://cloud.google.com/find-a-partner/partner/iblai)
- [NVIDIA](https://www.linkedin.com/feed/update/urn:li:activity:7389056295321931778/)
- [Alabama State University](https://www.linkedin.com/pulse/alabama-state-university-iblai-building-jarvis-educators-data-aware-37zpe/)
- [Morehouse College](https://www.linkedin.com/pulse/why-moral-ai-matters-iblai-morehouse-college-iblai-ci2me)

[View All](/case-studies)

---

[Book a demo](https://cal.com/iblai/30min)

---

## Bring us a hard problem. Keep the code.

Not a chatbot demo. Something that has to read several systems, write to one, and report to a third.

Pick a problem a general chatbot cannot solve:

- financial intelligence across a budget system
- an automation that reconciles two systems of record
- a scheduled workflow over gigabytes of operational data

We scope a fixed pilot on your real data, behind your firewall. Every line of code written in the pilot is yours, whether or not you continue.

[Pilots from $15K](/pricing)

[Propose a pilot problem](https://cal.com/iblai/30min) | [Read Syracuse's own site first](https://ai.syracuse.edu)

Then read our [case study](/case-study/syracuse-university).

Go deeper: [How ibl.ai pricing works](/pricing) | [Forward-deployed engineering](/service/forward-deployed-engineering) | [Syracuse University case study](/case-study/syracuse-university)

---

## Latest Agentic AI Insights

[View all articles](/blog)

### Explore by Topic

[AI Tutoring](/blog/category/ai-tutoring) | [Higher Ed CRM](/blog/category/higher-ed-crm) | [AI Agents](/blog/category/ai-agents) | [Student Success](/blog/category/student-success) | [LMS Integrations](/blog/category/lms-integrations)

---

## Ready to partner with ibl.ai?

[Request a Demo](https://docs.google.com/forms/d/e/1FAIpQLSdhpRiNmsMdgD_xGVYUp7HSoOFAmOb_ebdx18RlCn4ZfzcMBQ/viewform)

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## Integrates with your LMS

Request Demo

- [Canvas](/canvas)
- [D2L Brightspace](/d2l)
- [Blackboard](/blackboard)
- [Moodle](/moodle)

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## Inside ibl.ai

### About ibl.ai

Explore ibl.ai history and culture of putting technology to work in the real world.

- [About ibl.ai](/about)
- [Case Studies](/case-studies)

### News & Insights

Stay up to date with the latest news, insights, and announcements from ibl.ai.

- [Blog](/blog)
- [iblnews.org](https://iblnews.org/)

### Connect

Connect with ibl.ai and stay informed about our latest developments.

- [Contact Us](/contact)
- [Partners](/partners)
- [Careers](https://www.linkedin.com/company/iblai/jobs/)

---

## Footer

### Products

- [Agentic OS](/product/agentic-os)
- [ibl.ai](/product/agentic-os)
- [Agentic LMS](/product/agentic-lms)
- [Agentic Video](/product/agentic-video)
- [Agentic Course](/product/agentic-course)
- [Agentic Wallet](/product/agentic-wallet)

### Resources

- [Documentation](/docs/os/overview)
- [API Reference](/developer/api-reference)
- [Blog](/blog)
- [Self-Hosted AI](/self-hosted-ai)

### Company

- [Contact](/contact)
- [About Us](/about)
- [Partners](/partners)
- [Universities](/all-universities)
- [AI NYC Studio](/service/ai-nyc-course-production)

### Social

- [X (Twitter)](https://x.com/iblai_)
- [LinkedIn](https://www.linkedin.com/company/iblai)
- [iblnews.org](https://iblnews.org/)

[AICPA SOC Certification](https://www.aicpa-cima.com/resources/download/soc-for-service-organizations-engagements-overview)

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