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.
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.
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.
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.
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.
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.