ibl.ai Pricing Plans

ibl.ai prices around your budget, not your headcount. There are two ways to start: a bottom-up self-serve path built on rechargeable credits, and a top-down path where our team runs a pilot, deploys ibl.ai on your infrastructure, and can transfer the full codebase to you.

Bottom-up: Rechargeable Credits

Self-serve plans run on prepaid, rechargeable credits — a hard ceiling you set. You load a fixed amount and spend never exceeds it unless you opt in to auto-recharge, so there are no surprise overages and no per-seat fees. Start free, then scale credits as you grow.

Pilot — from $15,000

A fixed-scope, time-boxed proof of value on your real data. Deployed on your infrastructure or our cloud, with one to two production agents wired to a slice of your data and one integration. The pilot fee credits toward a full engagement.

Integration & Deployment — $25,000 to $80,000, one-time

A full deployment integrated with your data and systems — in your VPC, on-premise, or air-gapped — with multiple custom agents. Engineering hours are proportional to scope. This is a one-time engagement, not a subscription; recurring cost afterward is just your own LLM tokens and infrastructure.

Codebase Transfer + Custom AI Engineering — six figures

We transfer the full source code under a perpetual license, so you own and self-host the entire platform outright. Includes a dedicated AI engineering team building custom agents, models, and integrations to spec. Built for government, defense, and enterprises that require perpetual ownership and sovereignty.

All Engagements Include

How ibl.ai Pricing Works

ibl.ai replaces per-seat AI licensing. Instead of paying $20 to $60 per user each month, you either run on rechargeable credits you control, or you engage our team for a one-time pilot, deployment, or codebase transfer — so cost tracks the work and your actual usage, not your headcount. Build an estimate with our interactive quote builder, or model your savings with the AI Cost Calculator.

Pricing Built Around Your Budget.
Not Your Headcount.

Your code. Your data. Any LLM. Two ways to start — pick the door that's yours.

ibl.ai is the AI platform with no per-seat pricing — the flat-rate, you-own-it alternative to per-seat tools like ChatGPT Enterprise, Microsoft Copilot, and Glean.

Pay one platform license for unlimited users plus the LLM tokens you actually use — about 85% less than $20–60/user/month at scale, and you own the source code.

1.6M+Platform Users
400+Organizations
Syracuse UniversitySUNYGoogleNVIDIAMicrosoftOpenAIKaplan
Start bottom-up

Rechargeable credits — your budget is a wall, not a guess

Self-serve plans run on prepaid credits. You load a fixed amount and that's the ceiling — agents pause when it's spent, and auto-recharge is opt-in. No per-seat fees, no usage bill that balloons after the invoice is already sent.

You set the cap

Load $50 or $5,000. Spend never exceeds what you've loaded unless you choose auto-recharge.

No surprise overages

Unlike per-seat SaaS, the bill doesn't grow with every login. You see exactly where credits go.

Scale when ready

Outgrow self-serve and the pilot fee credits toward a full enterprise deployment below.

Work with our team

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
Estimate in 30 seconds

Build your Quote

Pick what you need. We'll show a real range — no email gate — then you send the exact scope to our team.

2

LMS, SIS, SSO/SAML, data warehouses, internal APIs…

3

Built and tuned to your workflows and knowledge base.

Estimated investment

$40,000
to$110,000
One-time engagement — not a subscription. Recurring cost afterward is just your own LLM tokens + infrastructure.
Send this scope to our team

Estimate only — your final quote is fixed once we scope together.

Your selection

Integration & Deployment · Your VPC · 2 integrations · 3 agents · Standard support · est. $40,000–$110,000

Pricing, without the surprises

The questions buyers actually ask before they commit a budget.

No. Self-serve runs on rechargeable credits — a hard ceiling you set. Agents stop at the amount you've loaded, and auto-recharge is opt-in, so there's never a surprise overage.

Enterprise engagements are one-time and fixed once we scope them. The only recurring cost afterward is your own LLM tokens and infrastructure — which you control directly.

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)