Mission control for AI engineering

The mid-market enterprise choice for driving AI adoption, performance, and ROI from real work. Grab the controls now.

Mission control

Turn your slowest devs into your fastest

The patterns are already in-house — the models, the skills, the habits your top performers run on. Pull everyone else into that cluster:

  • See how your best actually work — the benchmark reads it from real sessions: how many they run, how they steer, which models they lean on, how often they ship.
  • Share it with the whole org — those patterns reach every other dev as skills and next moves, until the team converges on what your best already proved. Merged code is the number that moves.
Mission control/Top shippers
Live benchmark
Shipped work · 30 daysTop shippers benchmark
top 6 by merges
How your most-merged engineers actually work — a benchmark, not a target.
6.0merged PRs / wk · cohort median
95%acceptance rate
0.1dlead-time → merge
Behavioral signature cohort range · ◆ median
Sessions / active day7
Parallel sessions12
Steering / session0.5
Active days / wk4.2
Model control plane/Performance
Policy enforced
Every harness · 30 days
Cost per merged PR
site-api
US infrastructure only · zero retention2 models hidden
Recommended mixGPT-5.2 Codex
$2.10 per merged PR
GPT-5.2 Codex coding92% merged$2.10 / PR
Fable 5 planning89% merged$4.60 / PR
Kimi K3 subagents88% merged1.8× slower
Sarah's mix is the best fit3 weeks leading on site-apiAdopt mix
Model control plane

Benchmark any model on your repos

One control plane for every coding model — your policy decides the menu: US-only infrastructure, retention rules, per-team caps. When a mix ships, the whole team can run it:

  • Model governance — turn any model on or off per team, pin US-only infrastructure or zero retention with one toggle, cap spend per dev. The catalog reshapes itself to your policy.
  • Copy what works — every model mix is scored by cost per merged PR, per repo and per task. Your fastest shipper merges 92% at $2 a PR? One click and it's everyone's starting point.
Per-engineer coach

Every engineer gets a personalized coach

Session efficiency, model mix, tokens per merged PR — each dev sees where they stand on their team, and the next move to climb. Every benchmark is anchored to shipped work: the only way to game the number is to ship better.

How you're tracking
Top 25%session efficiency on your team
youteam
Tokens per PR1.8×
Sessions per PR▼ 31%
Opus on routine work
Coach: try the mid-size model on refactors Why →
Bill certainty

Never get blindsided by an AI bill again

No more backing into a surprise invoice — see it coming, know exactly why, and fund what performs.

See it coming
Run-rate projection · this month
Flagged on day 12.
Know exactly why
58% capitalizable · 42% opex, auto-classified
New features40%Enhancements18%Bug fixes26%Support & investigation16%
Classified per session, audit trail included.
Fund vs. cut
Spend mapped to results
Jake's token upgradefund · +150%
Skill injectionfund · $750/wk back
3 idle seatsdowngrade · $210/mo
Upgrade that didn't deliverrolled back · $3,900/mo
Fund what compounds. Cut what coasts.
Whole company

Expand and drive the whole company.

Get the same visibility and the same controls for every department — from finance to marketing to ops.

  • See what they're making — briefs, decks, models, and runbooks, tagged by department in one place.
  • Read the weekly Codie Report — plain-English summaries of what each team did with its tokens, and whether it's working.
  • Run them the same way — raise limits, approve tokens, send check-ins. Same one-click moves, any department.
Day-one rollout

Connect in minutes.
No “hygiene required.”

Sessions are self-describing ground truth — no consultants, no months-long rollout, no begging devs to keep tickets tidy. The numbers are right on day one.

Codiedevsessions are the ground truth
Day 1
Connected
Sessions flowing the same day.
Week 1
First insight report
Org-level observations, with citations.
Month 1
Compounding
Skills and context feeding back into every session.
Typical metadata platformnumbers depend on ticket hygiene
Month 1
Implementation
Month 3
Ticket-hygiene cleanup
Month 6
First trusted report
Works with the tools your team already uses.
GitHubGitLabJiraLinearClaude CodeCodexGeminiClaude Cowork
Pricing

Simple pricing. One seat, one price.

One rate per person, company-wide.

Starter
Developers and Cowork users alike.
  • Full session capture and understanding
  • Org-level insights and skills cloud
  • Cost and ROI reporting
Enterprise
For larger orgs and stricter requirements.
  • Everything in Starter
  • SSO / SAML and advanced role-based access
  • Custom retention and redaction policies
See full pricing →

Grab the controls today

In 20 minutes, we'll show you the record of AI work no other platform can produce, and how it compounds.