Are you shipping faster?
Or just spending more on engineering?
We measure how AI impacts your delivery speed and quality. Then we work alongside your team to compound the gains.
Built by technology operators who scaled VC-backed companies and shipped software used by Fortune 100s. Product, engineering, and security in one team.
What is the real ROI on AI?
Your engineers use Copilot, Cursor, Claude Code every day. Your AI budget is climbing. Engineering is 40–60% of your company's spend. Whether any of it is moving product velocity is usually a guess.
The metrics available count inputs: tokens, seats, license usage. They don't measure outcomes. They can't answer what matters: is it working, and where?
of organizations use AI tools
capture meaningful enterprise value from it
Source: McKinsey, 2025 Global Survey of 2,000 executives across industries.
From guess to ground truth in 90 days.
We work alongside your engineering leadership. We set up our measurement system to capture productivity baseline and AI adoption. We partner with you to move the metrics that matter: velocity, quality, AI leverage. On day 91, the measurement keeps running.
Set Up
GitHub and Slack connected. Measurement system live. Baseline capture begins.
Measure
Signal flows to dashboards. Productivity and AI adoption become visible. Trends emerge.
Advise
Better AI leverage. Data-backed calls. Velocity that sustains.
Five metrics, built on a decade of research.
Grounded in DORA, SPACE, and DX Core 4. Together they cover delivery, quality, developer experience, AI impact, and business outcomes.
Diff Throughput
Team-level delivery signal, never individual.
Remediation Ratio
Auto-classified by Claude. Rising ratio means quality is slipping.
DX Surveys
Leading indicator for friction, before delivery metrics break.
AI Adoption
Three questions at CR merge. Hours saved, not tokens counted.
Revenue Growth
Engineering output anchored to business outcomes.
Senior judgment on the hardest calls.
The measurement shows what's happening. The engagement is where we work with your leadership on what to do about it: AI adoption, security posture, team structure, architecture.
AI Adoption Strategy
Copilot, Cursor, Claude Code, agentic tools. Where AI accelerates and where it doesn't.
Security Posture
Secrets hygiene, code provenance, shadow AI risk, prompt and agentic data handling.
Quality Guardrails
Protecting velocity from silent quality erosion as AI adoption scales.
Strategic Advisory
Hiring priorities, team structure, and architecture calls as they surface.
The people in the room.
We've worked at startups, at PE-backed companies, and at public companies, in environments from a handful of engineers to over a thousand. We wrote the first lines of code for multiple startups and built software that runs at Fortune 100s.
We built Klymb AI because we know what it's like to make scaling decisions without the data you wish you had.
The five-metric system pulls together a decade of engineering productivity research from DORA, SPACE, and DX Core 4. What we've added: making it something you can have running in 90 days, with an AI impact layer the original frameworks never needed to cover.
Know where AI is actually working. And where it isn't.
90 days from now, you'll have early wins on the board, the data to back them up, and the muscle to keep going.