Zero to a running system — in one sitting.
No consultants, no procurement cycle. An account, your agent, and minutes.
Every module of the enterprise, as a skill your agent runs.
A skill encodes the best-practice build of one business module — schema, engines, policy gates, tests — and composes with its siblings on shared master data. One bucket becomes the whole suite.
No man-hours. No seats. Pay for what runs.
Your next system’s users won’t all be human — so we meter what it consumes: storage, compute, tokens. One bill, a monthly free tier on every meter, and hard caps so there are never surprise bills.
The gap widens with every hire.
Per-seat software bills your growth. Usage doesn’t care how many people log in — so the bigger you get, the more the curves diverge.
An infrastructure stack built for agents.
Knowledge, compute, inference, and orchestration — plus git and a registry — one foundation an agent operates end to end through typed tools. Each layer replaces a sprawl of cloud services.
From the silicon up —
hosted in London, for EMEA.
We own the entire stack — our own silicon, servers and network, with knowledge, compute and inference layered on top — all in one London region. One vendor from the metal to the model; your data never leaves the UK.
Pay for what runs.
One rate card, three simple plans — start Free with a monthly allowance on every meter and no card required (usage stops at the caps, never a surprise bill). Pro ($19/mo) and Scale ($99/mo) pay the same per-meter rates below; the fee buys capabilities and lets usage keep going past the allowance.
See the plans & unit rates →Pay for bursts, not for idle.
Ignite Apps and K3 Tables compute autoscale pods down to zero between requests. Catalog Models, vector reads, storage — everything else is metered per token, per GB, per request.
Every plan includes a monthly allowance on every meter; on paid plans, usage past it bills per use. Need committed volume? Talk to us.
See pricingShip a real workload this afternoon.
Each tutorial is an end-to-end build on Dodil — follow it with the CLI, or hand it to your agent over MCP and watch it go.
