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The Token Maxxing Report · 1M+ PRs, 2,444 orgs

Cost and quality optimization engine for engineering agents

One engine, one memory. The most efficient model, every session. Bugs that never repeat.

Used by the world's top engineering teams

9 in 10tasks don't need frontier models
−43%per merged PR in 12 weeks
13%of tokens wasted

Ellie Engineering Brain

Unified memory of your engineering stack.

Sessions, PRs, deploys and incidents file themselves into one graph. Context accumulates instead of resetting.

One graph, all of it connected

World model: Ingestion

Model Router

The router knows which tenth needs a frontier model.

Pareto optimal routing per-turn to the most efficient model.

Monthly spend
$120k
$100k
$80k
$60k
$40k
$20k
$0
$100,000
$47,000
$53,000
saved (53%)
$25,000
$75,000
saved (75%)
Single model
Opus only
Baseline quality
Entelligence Router
Balanced
Quality held
Entelligence Router
Eco
Quality held

How Model Router Works?

Every session starts on the model that clears your quality floor at the lowest spend and escalates only when the work needs it.

Baseline spend
$1,290.49
Turns auto-routed
92%
Monthly savings
$724.88
Router spend
$565.61

Try the router on live sessions

Install, sign in, turn it on. Routing starts on the next session.

  1. 1

    Install & authenticate Entelligence CLI

    $ uv tool install entelligence-cli
    $ entelligence auth login
  2. 2

    Turn router on

    $ entelligence router on

Agent Behavior

Attribute every session to its outcome.

Every session is recorded in the graph. Understand the agent's context, its retry rate, and token waste.

Weekly release notesFridays 09:00 PT · #eng-releasesScheduled
  • PR#4821 Fix flaky billing webhook retryJack · session s_8f3a2c · merged 2h agoIn draft
  • PR#4817 Router fallback when vendor 5xxEmily · session s_71be09 · merged yesterdayIn draft
  • PR#4809 chore: bump depsBot · no session · merged yesterdayHeld for approval
  • PR#4802 Add cache-write tier to ledgerRyan · session s_2c0d4f · merged 3d agoIn draft
Entelligence PulseAPP · Fri 09:00

Release notes · week 37

  • #4821FixBilling webhooks no longer drop events on retry
  • #4817ReliabilityRouter falls back cleanly on vendor 5xx
  • #4802NewCache writes get their own ledger tier

#4809Held for approvalchore: bump deps had no customer-facing line

Code Review

A reviewer that learns from every mistake your team has made

The world model connects every bug and review comment. The reviewer catches bugs before they ship twice.

filefunctiondeployincidentfiles · functions · deploys · incidents

Indexes your codebase and incidents

Files, functions, deploys, and every postmortem your team has written land in one graph.

securityperformanceprecedentcontracts2 blocking

Agents read the diff in parallel

Separate passes for security, performance, precedent, and contracts. Judges assess impact beyond lines.

pull request #4821+entelligence

Turns each resolved incident into a rule

A resolved incident becomes a rule the next PR is checked against.

Entelligence Engineering Surfaces

Agent platform wherever your agents run

Router, reviewer and insights all read that one graph, so connecting a single repo sets up all three.

Mike@mbp: ~/checkout-servicerouter · Balanced

$ entelligence router on. ✓ Routing on. Claude Code, Codex and Cursor now go through Entelligence.. $ claude "fix the retry loop in payments/retry.ts". ● routed → claude-sonnet-5 read + plan $0.04. ● routed → claude-fable-5-1 refactor, kept the frontier $0.31. ● review 3 findings, 1 blocking: retry has no idempotency key. ✓ session s_8f3a2c · 42 min · $4.12 billed · $2.90 saved vs frontier-only. $

Terminal CLI

Sits in front of Claude Code, Codex and Cursor. Every session priced and reviewed.

Requests from ChatGPT, Claude, Gemini, Llama and DeepSeek pass through the MCP server to Entelligence, which answers from Agent Insights, Code Review and the World Model.

MCP and Plugins

Runs inside Claude Code, Cursor and Codex. Rules load before the agent writes.

The Agent Insights dashboard: team health, org maturity, cost per developer and efficiency over time

Platform

The web app for the whole team. Spend, quality and incidents, every repo.

Platform Migration
Design System
API Gateway
Project BetaNEW
Project Beta
spend spikessomething breaksrelease impact

Jamie08:17

@ellie are login issues affecting users after the last release and…

Ellie08:18

Yes, login issues increased after the last release and they're impacting conversion.

Post-merge impact:

  • Login failures are up 17% in the last 24 hours
  • Signup-to-login conversion dropped by 9%
  • The change lines up with the auth refresh update shipped yesterday

Jamie at 08:17: @ellie are login issues affecting users after the last release and… Ellie at 08:18: Yes, login issues increased after the last release and they're impacting conversion. Post-merge impact: Login failures are up 17% in the last 24 hours. Signup-to-login conversion dropped by 9%. The change lines up with the auth refresh update shipped yesterday

Slack

Ellie answers in Slack. Alerts when spend spikes, links when something breaks.

Customer Stories

What changed when teams started measuring their agents.

Teams running AI agents in production, on what changed after Entelligence started reviewing their code and tracking what it cost.

Jorge Torres of MindsDB, in conversation with Entelligence

Bugs Resolved

43%

Case study

Scaling our engineering team meant losing visibility into the codebase. Entelligence gave it back. Every PR, every change, every incident, in one clear picture.

Jorge Torres

CEO, MindsDB

Findings fixed

77%

Case study

Entelligence fits seamlessly into our workflow. We were already using AI coding tools like Claude and Cursor, but Entelligence fills the gap they leave behind. It catches missed issues and tightens our feedback loop, which has made a real difference to how confidently we ship.

Rithvik Chuppala

Co-founder & CTO, Clodo

Comment action rate

59%

Case study

We were using Claude for code review, and while the comments weren't wrong, they were just noise. Switching to Entelligence was a completely different experience. The comments are specific, tied to real patterns in our codebase, and engineers actually listen to them.

Arjun Athreya

CTO & Co-founder, Hobbes

What you’d ask before pointing this at your codebase.

Got a question we missed? We’re one message away.

  • One graph of your codebase and the work around it: the code, the pull requests, the review threads, the incidents and the sessions your agents run. Every product reads from that one index instead of keeping a private copy. That is why a review can cite the specific past incident a diff would re-create.

  • It picks a model per turn, not per project. Each turn is scored against a quality floor you set, and the cheapest model that clears it does the work, while anything that does not clear it escalates. The saving comes out of the routing, never out of the answer.

    How the router decides
  • They are cost per verified bug found, measured in our 2026 benchmark, not a blended token price. The task set, the method and the per-model results are all published. Read it and disagree with it if the method does not hold for your codebase.

    Read the benchmark report
  • Cost per session and per merged pull request, which model handled what share of turns, review coverage across your repos, and how often a past incident is cited before it repeats. Every figure is broken out per repo and per team, so the numbers belong to a codebase rather than to an average.

  • No. It connects to the repos and pull requests you already have, and the reviews and the routing happen inside that flow. Nobody has to open a new tool for the index to start building.

  • No. The measurements are about the work, cost per session, review coverage, incidents that repeat, and not about ranking people. Access is role based, and the point of the memory is that the next engineer does not have to relearn what the last one already paid for.

  • SOC 2 Type II and GDPR, no training on customer code, secrets encrypted at rest, and role-based access. Your code is only ever used for your own organization. If that is still not enough, self-hosted and bring-your-own-key deployments are both supported.

    Read how we handle code
  • You can sign up, connect a repo and watch the world model build without talking to anyone first. Paid plans are banded by team size and the number of reviews you run each month, and enterprise is scoped with you. The current numbers live on the pricing page, where they stay correct.

    See pricing

The memory starts the day you connect a repo.

From that day on, every session, review and incident lands in the same index.

  • No credit card required
  • No training on customer code
  • Deploy in your cloud, your own keys