01 / Adoption
Adoption
Not seat utilization. The percentage of work attributable to AI, across every coding agent in use.
- % PRs attributable to AI
- % code (LOC) attributable to AI
- % issues closed with AI
- Vendor split: Cursor / Claude / Copilot
AI spend is visibleAdoption, Impact & ROI aren’tTetriz answers all three
First insight in 15 minutes
Book a demoAI in engineering, measured in one place
What’s working, what isn’t, and how much it costs.
02 / Impact
Impact
Did AI actually improve code quality and engineering speed, or did it just add volume? Quality and time, side by side.
- PR review TAT, pre vs. post AI
- First-pass merge rate on AI code
- Code churn on AI-attributed code
- Bugs traceable to AI sessions
03 / ROI
ROI
Time saved per engineer translated into engineering cost saved across the org. The denominator a finance team can read.
- Engineering cost saved
- Time recovered per engineer
- Org-wide $ roll-up
- Auditable methodology card
Hover any tile to see the metrics inside that dimension.
Optimization
Tetriz doesn’t stop at measurement
It optimizes impact too, turning the measurement layer into a coaching layer that nudges adoption up, lifts session quality, and tunes the setup engineers work in every day.
Prompt suggestions
Sharper inputs grounded in a team's own session history.
Coaching
Personal AI retrospectives, private to each engineer.
Coding-setup tuning
Spots context gaps and toolchain misconfigs before they cost a sprint.
The agentic platform
Four agents. Four jobs. One platform
Each one runs a different engineering job
For CTOs
Reports AI Adoption & ROI
The AI ROI agent. From AI-time invested to code that shipped. One Outcome Efficiency Score.
Explore AI LeverageTracks adoption across AI tools
Reports PRs, Code, and Issues attributable to AI. The honest adoption number, not seat count.
Attributes sessions to PRs
Connects sessions to the PRs they produced via a four-signal cascade. No manual tagging.
Reports weekly AI ROI
Outcome Efficiency Score: active agent hours per merged PR, rolled up weekly.
Surfaces session-level analytics
Reports active time, context utilization, cache hit rate, and token waste per session.
Integrations
One connection. Reads every tool.
Role-based access. Audited connections. Zero new policy
Claude Code
GitHub Copilot
GitHub
GitLab
Bitbucket
Jira
Slack
Google Workspace
Pricing
Per engineer pricing
Billing· 10% Off on Annual plan
Pro
$29/seat/month
- SeatsUp to 100
- Tetriz agentsAll 4
- ConnectorsCoding, Issue, and PR
- Multiple concurrent connectors·
- SSOGoogle / Microsoft
- Priority support·
Enterprise
Custom
- SeatsUnlimited
- Tetriz agentsAll 4
- ConnectorsCoding, Issue, PR, Slack, Google Workspace
- Multiple concurrent connectors
- SSOSAML / Okta
- Priority support
Why Tetriz
What CTOs and Leaders told us
And why we built Tetriz
“Make me a hero in board meetings. That's a $50K product.”
CTO · Series C startup
“People expect magic. You must now do what you did yesterday with one-tenth of the people.”
CTO · Fintech, >$1Bn TPV
“You don't want to measure the quality of input. You want to measure the quality of output.”
CTO · Developer Tools platform
“We are doing a lot of stuff but are blind on effectiveness.”
VP Eng · Enterprise SaaS
“I don't have a good way of doing metrics-based AI analysis. It is definitely vague right now.”
CTO · B2B SaaS
“There's a year-on-year productivity increase you need to show. 20%. You can't just say they're now writing 120 lines of code.”
TPM · FAANG
“The primary bottleneck is code reviews. We need ways to speed this up.”
Engineering Leader · B2B SaaS
“Specific instructions were given. They didn't do it. Just generated some code, it's working, so they just push it.”
Engineering Leader · Mid-market SaaS
“Right now there is no tool. I have to manually go and ask the status. I have to actually follow up.”
Engineering Leader · Enterprise
“DORA is not enough. We need a post-shipment quality metric.”
Engineering Leader cohort synthesis