writes the code itselfEntelligence reviews pull requests and routes requests for coding agents it doesn’t build. ML.ai is the agent: it writes the change and stops for your approval before anything touches disk.
Entelligence, review and routing
How Entelligence.ai works
inside the editor you already use
general
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 finds the problem in review and leaves the fix to an agent. ML.ai traces the failure, writes the fix and holds it until you approve.
Same request, both products
“Fix the failing test”
1Review the change
2Route the turn
3Hand off
ML.ai1general works the failing test
Trace the failure Standard
Write the fix High
Run the testsPassed
2Review the diff
and Entelligence each dopull request
An engineering intelligence platform. It reviews pull requests, routes coding-agent requests by cost, and reports on AI usage and team delivery.
composer
Standard HighA coding agent in VS Code or Cursor. It reads your repo, writes the edit and holds it behind Allow, Always or Deny, with one login and no separate provider key.
Use this if
You want AI review on every pull request, routing for the coding agents you already use, and reports on AI spend and delivery for your leads.
Use this if
You want an agent that writes the change itself, with one login, no separate provider key, and every edit shown to you before it touches disk.
The same categories, compared row by row. Every line on both sides traces back to a real doc, pricing page, or published benchmark.
ML.aiEntelligence.ai
A Model Router with visible policies, plus a separate PR-review bot and codebase-chat layer ("Ask Ellie").
ML.ai
A closed routing harness.
Requests go to ML.ai Standard or ML.ai High; the model behind each tier isn’t named.
Entelligence.ai
No coding agent of their own.
Their IDE extension reviews and comments; code generation still comes from Claude Code, Codex, or Copilot.
ML.ai
ML.ai reads your repo and applies edits and shell commands itself, once approved, in VS Code or Cursor.
Entelligence.ai
User-selectable Balanced (favor quality) or Eco (favor lower cost) policy.
ML.ai
None exposed.
Two tiers only; ML.ai’s own docs call the routing behind each tier its decision, not yours.
Entelligence.ai
On-box classification claimed under 50ms per turn, with escalation to a stronger model when a turn needs it.
ML.ai
Not documented beyond the two-tier split.
No published latency or classification figures.
Entelligence.ai
A per-turn cost log with real spend shown per request.
ML.ai
A tier name and a bill.
No per-request or per-model spend breakdown.
Entelligence.ai
Self-hosted or BYOK, your own cloud and keys, on top of whatever Entelligence itself bills.
ML.ai
Sign in with an ML.ai access token, nothing else.
No self-hosted option today.
Entelligence.ai
An always-on bot that comments the moment a PR opens, citing a self-published 47.2% F1 score on an 8-tool, 67-bug benchmark.
ML.ai
A built-in /review command: full files and traced callers, not just the diff.
Invoked on demand.
Entelligence.ai
No equivalent.
Entelligence acts on code that already exists, with no pre-write gate of its own.
ML.ai
Every edit and command is a real diff, held behind an Allow/Always/Deny gate before it touches disk.
Entelligence.ai
No public plan sheet.
Billing runs on a wallet balance (Proxy) or your own keys (BYOK).
ML.ai
A published plan table, five tiers, free trial to Enterprise, rates you can read before signing up.
Entelligence.ai
SOC 2 Type II, stated as a credential badge on their site.
ML.ai
SOC 2 Type II, ISO 27001, and GDPR + CCPA, each published on ML.ai’s own security page.
ML.ai’s own limits sit right beside theirs, with the same weight.
No coding agent of their own; code generation still runs on Claude Code, Codex, or Copilot, each billed separately.
Router pricing isn’t a plan sheet; it’s wallet balance or your own keys, on top of whatever the underlying agent costs.
The 64% savings figure is one illustrative scenario, not a disclosed benchmark across team sizes.
The PR-review benchmark (47.2% F1, 8 tools, 67 bugs) is self-published; named competitors aren’t disclosed.
No. Their IDE extension reviews and comments on code; it doesn’t write it. The agent actually writing code in their workflow is still Claude Code, Codex, or Copilot.
Not on ML.ai. It routes to one of two tiers, Standard or High, and doesn’t name the model. Entelligence’s router shows the policy and a per-turn model and cost.
No, an ML.ai access token is all sign-in requires. An Entelligence setup still means holding and paying for keys to whichever agent underneath actually writes the code.
Yes, /review is ML.ai’s own command: a diff, commit, branch, or PR, reading full files and traced callers. The difference from Entelligence is invocation, theirs runs automatically, ML.ai’s runs when you call it.
today, or talk to us about what is nextTry ML.ai in the editor you use today and approve every change it makes.
