Typo
Engineering intelligence platform measuring AI's real impact on delivery speed, code quality and developer experience across the SDLC
About Typo
Typo is an engineering intelligence platform that connects a team's SDLC signals — commits, pull requests, reviews, deployments — into one layer and reports what is actually happening to delivery. Its current positioning is squarely on the AI adoption question: leaders can see that developers are shipping more code with AI assistance but cannot tell whether delivery, quality or team health improved. Typo's AI Impact module tracks how much code across teams and individual developers is AI-written, measures the effect of that code on cycle time, review time and overall delivery speed to produce an ROI figure, and identifies which developers are using AI most effectively so their practice can be transferred to others. Around that sit three further modules. Engineering Productivity gives real-time SDLC visibility, work allocation analysis and delivery health metrics out of the box. AI Code Reviews performs context-aware review with automatic fixes. Developer Experience measures a Developer Experience Index, covering the human side that pure throughput metrics miss. Ask AI is a natural-language interface answering questions about code, pull requests, deployments or team performance without building a report. The company publishes engineering benchmarks, an AI Impact guide and a governance framework for measuring and scaling AI impact across the SDLC, and maintains a Trust Center. It is a G2 Spring 2026 category leader and publishes named customer stories including Stackgen, Groundworks and Transfeera.
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