is the agentEntelligence reviews pull requests and routes requests for coding agents like Claude Code and Codex. ML.ai is the agent: it writes the change and waits for your approval.
Entelligence, routing and review
How Entelligence.ai works
inside the editor you already use
Build
Fix the failing checkout test
Read cart.ts and cart.test.ts
Traced the failure to line 41
Edit checkout/cart.ts?
1 line changed, diff open on the left
Entelligence routes the turn and reviews the result, while your agent writes the fix. ML.ai traces the failure, writes the fix and holds it until you approve.
Same request, both products
“Fix the failing test”
1Route the turn
2Your agent writes the fix
3Review the PR
ML.ai1Routes each step
Read and traceFast model
Write the fixFlagship model
Run the testsPassed
2Asks before the edit
and Entelligence each dopull request
An engineering intelligence platform. It reviews pull requests, routes coding-agent requests by cost, and reports on AI usage for engineering leads.
composer
A coding agent in VS Code, Cursor and a desktop app. It reads your repo, writes the edit and holds it behind Allow, Always or Deny, with one ML.ai sign-in and no provider keys.
Use this if
You already run Claude Code or Codex across a team and want routing in front of them, review on every pull request, and AI usage reports for your leads.
Use this if
You want the agent itself, with one sign-in, no provider keys, and each edit shown to you before it’s written.
The same categories, row by row. Every line on both sides comes from a doc, pricing page or published benchmark.
ML.aiEntelligence.ai
A Model Router for coding agents, plus pull request review and Agent Insights.
ML.ai
A coding agent with model routing built in, in VS Code, Cursor and a desktop app.
Entelligence.ai
None of its own.
The router sits in front of agents you already run, such as Claude Code and Codex.
ML.ai
ML.ai reads your repo and applies edits and shell commands itself, once approved.
Entelligence.ai
A Balanced or Eco policy.
Each step goes to the cheapest model that clears the quality bar you set.
ML.ai
You pick a tier, from ML.ai Flash to ML.ai High, and ML.ai manages the model behind it.
Every plan includes auto model routing.
Entelligence.ai
Prepaid credits with a 5% routing fee, or your own provider keys with 5 to 10% of routed spend invoiced monthly.
ML.ai
One ML.ai account and no provider keys.
Usage runs on your ML.ai plan.
Entelligence.ai
Self-healing code review on pull requests, with a monthly review allowance per plan.
ML.ai
/review reviews uncommitted changes, a commit, a branch or a PR, and runs when you call it.
Entelligence.ai
Startup $750 a month for up to 15 engineers, Scale $2,500 for 16 to 50, and Enterprise custom.
Model Router and Agent Insights are listed under Enterprise.
ML.ai
Infinite $10, Infinite Pro $20 and Infinite Max $40 a month, priced by jobs in parallel (2, 6 or 20).
India pays in rupees. Team is $29 per seat a month, billed annually with a 5-seat minimum. Enterprise is a custom contract with self-hosted or VPC deployment.
Entelligence.ai
SOC 2 Type II, with the report available on request.
ML.ai
SOC 2 and ISO 27001, as listed on ml.ai.
ML.ai’s own limits sit beside theirs, with the same weight.
No coding agent of its own, so you still run and pay for the agent underneath.
Router billing adds a 5% fee on credits, or 5 to 10% of routed spend on your own keys, on top of provider costs.
Its savings figures (60% per merged pull request, 75% against a single-model month) are self-reported.
No. Its Model Router sits in front of agents you already run, such as Claude Code and Codex. ML.ai is the agent itself.
No. One ML.ai account is all you sign in with. With Entelligence you still pay for the agent underneath, through credits or your own keys.
Yes, with /review, on uncommitted changes, a commit, a branch or a PR. It runs when you call it, where Entelligence reviews pull requests as they come in.
in the editor you already useInstall the extension or the desktop app, sign in once, and approve every change it makes.
