Trusted by engineering leaders at
AI shipped. Governance didn't.
Teams build with AI faster than ever. What's missing is the layer that proves it. Without it, leaders pay four silent costs:
AI cost is invoiced, not understood
Provider bills land monthly. Nobody knows which team consumed what, or whether spend tracked with output.
Durability is a hope, not a measurement
The AI code compiles and ships. Whether it lasts or quietly decays into rework is something teams feel, not measure.
Deploy readiness is an opinion, not a call
"Are we ready to ship?" gets answered in the standup, not with data.
A board answer you can't defend
When leadership asks if AI made engineering better, "it feels faster" is not evidence.
ScaleQuality closes the loop.
One platform, three modules.
Start with a diagnosis of any repo. Prove what AI costs and returns. Keep it durable at scale.
Point any repo, get a verdict
AI-generated or decades-old: a zero-config verdict on code maturity and how durable what AI wrote really is. In minutes.
What you get
Zero-config verdict · Code maturity · AI-code durability
Decide with AI, prove the return
The projected return before you build. The real cost, measured from your providers, as it runs. Never declared.
What you get
Cost preview · Projected ROI · Real AI cost, measured continuously
Keep it durable at scale
Maturity across 12 domains and 30+ gates, production readiness as one executive call, and governed agents that open the PR to close each gap.
What you get
12 domains · Production readiness · Governed agents that ship the fix
Works with the stack you already use
Linear, Asana and Businessmap are next.
The three questions every leader asks about their AI.
Cost, trust, exposure, measured per team, never per person.
Am I getting my money's worth?
$19.6K
of your AI spend became code that stuck
Can I trust the code AI writes?
High
governed PRs · human-reviewed before merge
Is there shadow AI in my codebase?
2 repos
ungoverned AI detected
Durability is the number nobody else has: how much of what AI wrote actually survives, and how much quietly became rework you paid for. No market standard covers it. ScaleQuality measures it from your own git history.
Diagnose. Measure. Close the gap. Prove.
Four steps, then it runs again. Every pass measures real signals, closes a real gap, and proves the impact in your own code.
Diagnose
Point ScaleQuality at any repo and get a zero-config verdict in minutes. Connect boards, SonarCloud and AI provider admin keys to go deeper, bottom-up, isolated, encrypted at rest.
Measure continuously
Maturity across 12 domains and 30+ gates, production readiness against 8 criteria, AI cost, tokens and code durability, all from real signals, never estimates. Measured continuously, so it can break the build when quality regresses.
Close the gap
When a gate fails, an expert agent is dispatched. It clones the repo, writes the fix, and opens a governed pull request. Human review always required, nothing auto-merges.
Prove
The agent re-measures. Coverage rises, the gate flips to met, maturity moves up. The impact is proven in your own code, not a number you typed in.
Then it measures again. The loop does not end at a dashboard.
Built secure. Backed by a published methodology.
ScaleQuality measures your teams and systems, never your developers, never the content of what anyone writes.
SQCM v1.0 · published, citable, with DOI.
Every score traces back to an open methodology grounded in CISQ, DORA, McKinsey and Octoverse. Not a black box.
Read the white paperSimple, transparent pricing
Start with a 7-day free trial. No credit card required.
Starter
The entry door
- Code maturity + AI durability (3 repos)
- Snapshot diagnosis, on demand
- Content Compliance: 1 context · 1 area
- Quality Agents: 3 runs/mo
Pro
Diagnosis + measured AI cost
- Snapshot diagnosis on unlimited repos
- AI Portfolio: 5 areas, real AI cost measured
- Full Content Compliance
- Quality Agents: 25 runs/mo
Business
Operating quality at scale
- Everything in Pro
- Full Engineering suite (1 BU, 3 teams)
- Continuous measurement: break the build on regressions
- Business Areas (10 included, +$29/area)
- Quality Agents: 50 runs/mo
Enterprise
Complete governance layer
Custom
- Everything in Business
- Unlimited BUs, teams and areas + Org rollups
- Autonomous Quality Agents: 100 runs/mo
- SSO/SAML · MFA · RBAC · Audit log
- Dedicated support · priority integrations
See it pay off in 30 days.
A paid pilot puts the platform and quality agents to work on your real repos. US$ 2,500, 100% credited toward the annual plan. Exit criteria defined at kickoff.
Need more Business Areas? Add extras for $29/area/mo.
Not sure which plan is right for your Org?