Pensero.ai is an AI-powered platform that gives objective visibility into how engineering teams actually perform, using real delivery data from across their existing stack.
By connecting code, tickets, collaboration, and AI usage, it helps organizations understand what is being delivered, at what quality, and at what cost, including the real cost and efficiency of AI adoption. Through capabilities like benchmarking and calibration, Pensero enables teams to compare performance across engineers, teams, and peers, replacing subjective assessments with clear, data-driven insights.
The result is continuous, evidence-based decision-making that improves performance, aligns teams around outcomes, and drives a more transparent, high-performing engineering culture.
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Planview Software Product Delivery Solution is an enterprise delivery intelligence platform that connects strategy to execution across your existing development toolchain, giving technology leaders the visibility they need to deliver faster, with confidence and measurable impact.
Planview's solution integrates with ADO, GitHub, Jira, and other tools to aggregate real-time delivery data across teams and toolchains. Core capabilities include cross-team dependency management, flow and bottleneck analysis, capacity planning, agile planning at team and portfolio levels, AI-powered roadmapping, delivery analytics (including DORA metrics), connected OKRs, and portfolio-level investment and scenario modeling. Risk signals are surfaced early through configurable thresholds and flow metrics, and executive-ready views replace manual reporting with live, evidence-based delivery intelligence helping enterprises transform how they deliver digital products.
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CodePulse
CodePulse is a software engineering analytics platform that connects to your GitHub repositories with read-only access to automatically track and analyze development activity so teams can see where time is spent, measure delivery health, and make data-driven improvements without accessing actual source code. It uses a metadata-first approach, analyzing pull request activity, commit history, review interactions, and repository patterns, to produce visibility into engineering velocity, cycle time, review wait times, team health scores, DORA metrics, and trend forecasts, helping identify bottlenecks, collaboration gaps, and opportunities for process improvements across your workflow. It emphasizes security and privacy by never accessing source code contents, secrets, or environment variables while providing dashboards, executive-ready summaries, and built-in playbooks that contextualize metrics into actionable guidance so leaders can communicate impact.
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