Scan your codebase and get a real score. See exactly how solid your engineering is, benchmarked against real companies like yours.
Get StartedQuality signals checked per scan
Connect your repo — we handle the rest
Every scan measures what matters
See where you stand vs. your cohort
OHLC — score movement per scan vs. peer range
Diligence Score
acme-corp
Jun 14, 2026
Companies in our reference benchmark
Statistically calibrated, not opinion-based
One score, five buckets. Each bucket breaks down into sub-metrics: test coverage, linting, CI pipelines, dependency freshness, and more.
Plugs into GitHub. Scans on every push, PR, and schedule.
Surfaces the single sharpest risk signal per scan. No noise, just what matters.
See where any repo ranks against peers at the same stage, sector, and team size. Percentile-based context, not arbitrary thresholds.
Everything you need to know about how we measure engineering quality.
Sprinno is the first psychometrically calibrated standard for measuring software engineering quality. Think of it as the SAT score for your codebase — an objective, reproducible measure of how well your team builds software, grounded in the same mathematical framework used by the world's most trusted standardized assessments.
We assess your engineering across five pillars — Code Health, Process Maturity, Architecture, Team Dynamics, and Business Alignment. Each metric is empirically weighted based on how well it separates strong teams from weak ones (discrimination power). Your final score is a percentile rank against a reference cohort at your stage.
Just your codebase. Sprinno connects to your repository (GitHub, GitLab, or Bitbucket), analyzes your engineering practices, and produces a calibrated score. No lengthy questionnaires, no consultant interviews, no disruption to your workflow.
Absolutely. We never store your source code. Our analysis pipeline processes metrics in a secure, ephemeral environment and only retains the computed signals — never the code itself. We follow strict data handling protocols to ensure your intellectual property stays protected.
Sprinno serves two audiences: investors conducting technical due diligence who need an objective, consistent assessment of engineering quality; and engineering teams who want a calibrated benchmark of where they stand relative to peers at their stage.
Static analysis tools check code against fixed rule thresholds — they're deterministic but shallow. Sprinno goes far beyond code-level checks: we assess process maturity, architecture quality, team dynamics, and business alignment. Our weights are empirically derived from data, not arbitrary thresholds set by experts.
Not easily. Weights are proprietary and empirically derived, so you can't know which metrics carry the most influence. More importantly, the metrics that discriminate are ones requiring genuine engineering quality — you can't fake meaningful test coverage or healthy architecture.
Metrics are stack-agnostic at the pillar level. Whether you write Python, TypeScript, Go, Rust, Java, or anything else, we measure the same underlying engineering behaviors. Stack-specific calibrations exist only for language-level metrics where normalization is needed.
Minutes, not weeks. Once connected to your repository, Sprinno produces a full calibrated assessment in under 10 minutes. Compare that to 2–4 weeks and $30–80K for traditional consultant-led due diligence.
Yes. What constitutes "good" differs by maturity. A seed startup with 40% test coverage and fast iteration is healthy; a Series B company with the same numbers has a problem. Our model uses stage-aware baselines so you're always compared to relevant peers.
