[ The control layer for AI-powered software development ]

Scale AI without losing control.

Turn AI from an uncontrolled source of capacity and cost into a managed source of competitive advantage.

[ What you can do ]

Operate AI like the multiplier it can be.

CodeTogether turns invisible problems into operating decisions.

01

Stop runaway spend

Catch token spikes before they become the invoice.

refactor-billing · claude-code
Agent starting…
Agent halted
Runaway loop. Stopped at $4.10, heading for $180+.
02

Protect code quality

Find AI slop and stop it before it compounds.

03

Amplify key talent

Identify the people and practices creating leverage.

04

Back the right technology

Back the models, agents and workflows that work.

WHICH TOOLS DEVELOPERS ARE USING
Agentic tool adoption
Claude312 Devs
Codex184 Devs
Copilot96 Devs
Cursor71 Devs
Kiro18 Devs
[ Proof ]

Actual findings in 30 days.

CAPACITY RECOVERED
$11.5M
in unrealized capacity

Unclear tasks and uneven workloads kept the team from doing its best work. Both lived at the source.

OUTPUT MULTIPLIED
more value output

A team-wide action plan and mentor-led coaching drove a six-fold increase in quality code delivered.

TIME TO DETECT
2 days
to find unapproved agents

Agents were auto-merging to a release branch with zero oversight, burning spend and compounding risk.

CLARITEV · ONE YEAR CASE STUDY
90+projects one year in, starting from a three-team pilot.
AI is an important part of Claritev's technology strategy, and our mission requires us to adopt it responsibly and measurably. CodeTogether's platform gives us greater visibility into how AI-assisted development is being used, where it is creating value, and how we can scale these tools in a disciplined way.
Michael Kim
Executive Vice President and Chief Digital Officer, Claritev
[ What each role gets ]

More than metrics. An actionable roadmap.

Where is AI creating value? Where is it creating risk? Where do we intervene?

Executive presenting results on a large chart to a leadership team in a glass boardroom
01 · EXECUTIVES

Which investments are paying off, so you can do more of them.

Engineering lead leaning in to review code on a developer's monitor
02 · ENGINEERING LEADERS

Where to coach teams toward the AI workflows that deliver.

Developer with headphones working across two monitors of code
03 · DEVELOPERS

Which workflows work best, and how to adopt them.

Every finding arrives attached to the person who can act on it, in the language that role already uses.

See what each role gets
[ Why CodeTogether ]

Track AI spend to feature delivery.

We don't just measure what happened. CodeTogether helps engineering leaders control what's happening while it's happening, connecting what each delivery cost to what it was worth, with patented capture at the point of work.

The only platform with patented capture of AI cost, effort and quality at the point of work.

HOW ONE ENGINEER BUILT ONE FEATURE, HOUR BY HOUR
Claude CodeDev testingCopilot
3.1×value per $
Worth it. Value delivered exceeds cost.
$475total AI spend
$420Claude Code
$55Copilot
$120flagged as waste
AI broke the link between engineering activity and business value. CodeTogether restores it.
How it works
[ How capture works ]

CodeTogether captures at the point of work, so every AI contribution gets attributed.

In the editorRecorded where the work happens
Native extensionEvery agent and editor on the list
Nothing reconstructedCaptured at the point of work
SaaSRuns next to the tools you have
Your own environmentRuns inside your network, nothing leaves
No repo migrationNo new workflow, no second place to check
EngineeringAdoption, effort and quality
FinanceSpend and value per dollar
One ledgerBoth sides read one number
[ Security & deployment ]

Deploy beside your stack. Insights from day one.

Run it as SaaS or in your own cluster. Either way it sits beside the tools you already have, and nobody changes how they work.

DAY 0

Connect

Runs in your own environment or as a hosted workspace. Connects to GitHub; the extension ships with your usual tooling.

DAY 1 TO 6

Capture

Activity accrues in the background across every agent and editor on the list. No new habits, no new tools.

DAY 7

Baseline

Your first AI Adoption Report: where AI is used, what it cost, and what it delivered.

No training on your dataNo new toolsOn-premise or SaaSNo workflow changesSee how it deploys

Take control of AI. Compound the return.

A baseline in seven days, alongside the tools your team already uses.

Agent