AI execution
optimized for your dev team.
Termi is an AI orchestration layer for your engineering organization. It turns engineering goals into coordinated workstreams, selects the right model for each, and executes them in parallel against the same project.
How it works
Prompt“Build a 3D coffee app with cart and checkout.”
See output// cost · quality · time
You usually pick two. The brain gets you all three.
Results from the “3D coffee app” benchmark.
// why
Independent workstreams run in parallel instead of one after another, so the longest dependency path sets the pace.
Illustrative figures from internal runs on a mid-size web build. Outcomes vary by task.
One brain for your entire SDLC.
Plan, build, test, deploy, and operate across AWS, Google Cloud, and Azure from one governed UI.
Orchestration
Termi brain
models + compute01 / Plan
Scope the project
Turn engineering requirements into model and compute workstreams.
Compute integrations
Used by teams at
Amazon
DoorDashFAQ
How does Termi choose the right model?
Termi uses internal benchmarks to determine the most effective task decomposition, then selects the best-fit approved model for each workstream based on capability, cost, and execution profile.
Where do code and execution stay?
Code and execution stay in your governed environment. Termi uses your existing credentials and tooling.
How does Termi integrate with our cloud?
Termi connects to AWS, Google Cloud, and Azure through your existing identity, network, and audit controls.
How is work verified and controlled?
Teams can inspect runs, intervene, and review builds, tests, browser checks, and simulator output before completion.
Evaluate Termi in your environment.