Mission control for AI engineering.Mission control for AI engineering.
Give your developers and their agents every new AI model the day it ships, inside your security rules and budget, with proof it’s paying off.
Works with
Claude CodeCursorCodexOpenCodeYour agentAPI
Open and closed models from every major lab, under your rules
Access, enablement, proof.
Every model runs on a vetted US host with a failover ready, never straight from the lab, and goes live only once it passes your rules. Your developers use it in the tools they like, and you see what it shipped.
Every approved model, the day it ships.
- Set your rules once: processing region, zero data retention, no training on your data.
- We run each model on a vetted US host, with a failover ready before it goes live.
- Open and closed models, under one codiedev agreement instead of a contract per vendor.
Let developers try them in the tools they like.
- One key works in OpenCode, Pi, or anything that calls our API, including your own agents.
- Budgets by team, developer, or agent, and failover when a provider goes down.
- See who’s trying what, and which skills are spreading.
Analytics that prove it’s paying off.
- Every request is tagged with the developer, agent, model, and repo.
- Coding sessions link to the PRs they merged, so you see cost per merge by model, team, and agent.
- Leadership sees the rollup. Each developer sees their own numbers and a cheaper model that does the same work.
Get started
See how your team’s AI coding adds up.
Explore model access, cost, and adoption in one walkthrough.