# Pensero

> Pensero is an engineering performance and analytics platform for engineering leaders. It analyzes activity across repositories, tickets, documents, and communication tools to provide objective, evidence-based insight into delivery, code quality, AI impact, talent, and R&D capitalization — grounded in evidence, not perception.

Key facts:

- Category: engineering performance / software engineering intelligence platform (alternative to Jellyfish, LinearB, DX, Swarmia, Haystack, Waydev).
- Pricing: Starter (free — up to 5 users, 1 repository, delivery/quality/collaboration metrics, AI impact tracking, 90-day retention); Growth ($50 per seat/month — unlimited users and repositories, SSO/SAML, API/MCP access, 1-year retention); Enterprise (custom — R&D capitalization, on-prem deployment, custom integrations, dedicated CSM).
- Integrates with the existing delivery stack (code repositories, ticketing, and messaging tools such as GitHub and Jira); typically live within one day, with ~90 days of historical data backfilled from day one.
- Tracks AI adoption across engineering: AI-assisted delivery share, AI spend and token efficiency, and AI impact on quality and rework.
- Provides industry benchmarking: percentile comparisons vs. global peers on delivery per headcount, defect rate, AI-assisted code, collaboration, and more.
- Supports finance-ready reporting: CapEx / R&D capitalization tracking and project cost allocation for audit compliance.
- Privacy stance: measures work-output signals (pull requests, tickets, documents, communications) — not keystroke monitoring or surveillance.

## Product

- [Platform overview](https://pensero.ai/): delivery, quality, AI impact, talent, benchmarking, and CapEx visibility for engineering organizations
- [Integrations](https://pensero.ai/integrations): supported tools across the delivery stack
- [Pricing](https://pensero.ai/#pricing): Starter (free), Growth ($50/seat/month), Enterprise (custom)
- [Enterprise](https://pensero.ai/landing/enterprise): R&D capitalization, on-prem, custom integrations, priority support
- [Security](https://pensero.trust.site/): security posture and compliance documentation

## Customers

- [ClosedLoop case study](https://pensero.ai/customers/closedloop): "story points after the fact" — 4x faster delivery
- [Cubbo case study](https://pensero.ai/customers/cubbo): maintenance load reduced from 70% to 30% of engineering time
- [Zynap case study](https://pensero.ai/customers/zynap): CTO-level visibility into where the team is headed

## Guides

- [How to Measure the ROI of AI Coding Tools](https://pensero.ai/blog/measure-roi-ai-coding-tools): framework for proving AI tooling value
- [The AI Quality Tax](https://pensero.ai/blog/ai-quality-tax): why AI-assisted code can mean more rework, and how to manage it
- [AI Coding Tool Efficiency Metrics in 2026](https://pensero.ai/blog/ai-coding-tool-efficiency): the metrics that matter for AI-assisted development
- [Your AI Spend Is Compounding: How to Control It](https://pensero.ai/blog/compounding-ai-spend): managing AI cost growth across engineering
- [Guide to Capitalizing Software Development Costs](https://pensero.ai/blog/capitalizing-software-development-costs): R&D capitalization for engineering and finance leaders
- [How to Benchmark Engineering Team Performance](https://pensero.ai/blog/benchmark-engineering-team-performance): comparing your org against industry peers
- [Best Engineering Delivery Metrics to Track](https://pensero.ai/blog/engineering-delivery-metrics): choosing delivery metrics that reflect real output
- [How to Measure and Improve Engineering Delivery Performance](https://pensero.ai/blog/engineering-delivery-performance): a practical delivery-performance playbook
- [Engineering Cycle Time and How to Reduce It](https://pensero.ai/blog/engineering-cycle-time): definition, measurement, and reduction tactics
- [How to Shift Engineering Maintenance vs. Innovation](https://pensero.ai/blog/engineering-maintenance-vs-innovation): rebalancing KTLO against roadmap work
- [Contractors vs Full-Time Engineers: Who Delivers More?](https://pensero.ai/blog/contractors-vs-full-time-engineers): comparing cohorts with delivery data
- [How to Measure New Hire Ramp-Up Time](https://pensero.ai/blog/hire-ramp-up-time-engineering): onboarding effectiveness metrics

## Comparisons

- [Pensero vs Jellyfish](https://pensero.ai/landing/jellyfish): how Pensero differs from Jellyfish
- [Pensero vs LinearB](https://pensero.ai/landing/linearb): how Pensero differs from LinearB
- [Jellyfish vs DX](https://pensero.ai/blog/jellyfish-vs-dx): independent comparison of the two platforms
- [Jellyfish vs LinearB 2026](https://pensero.ai/blog/jellyfish-vs-linearb): which engineering intelligence platform fits which team
- [Jellyfish vs Swarmia](https://pensero.ai/blog/jellyfish-vs-swarmia): comparison for 2026
- [LinearB vs DX 2026](https://pensero.ai/blog/linearb-vs-dx): two different answers to the same problem
- [DX vs Swarmia 2026](https://pensero.ai/blog/dx-vs-swarmia): developer-focused platform comparison

## Glossary

- [Glossary index](https://pensero.ai/glossary): ~100 definitions of engineering performance terms
- [Software Engineering Intelligence](https://pensero.ai/glossary/software-engineering-intelligence): what an SEI platform is
- [Cycle Time](https://pensero.ai/glossary/cycle-time): definition and why it matters
- [Change Failure Rate](https://pensero.ai/glossary/change-failure-rate): DORA quality metric explained
- [Lead Time for Changes](https://pensero.ai/glossary/lead-time-for-changes): DORA delivery metric explained
- [Developer Productivity Metric](https://pensero.ai/glossary/developer-productivity-metric): how productivity is measured
- [KTLO](https://pensero.ai/glossary/ktlo): keeping the lights on — maintenance work defined
- [Technical Debt Ratio](https://pensero.ai/glossary/technical-debt-ratio): quantifying tech debt
- [Rework](https://pensero.ai/glossary/rework): rewritten code as a quality signal

## Optional

- [Blog index](https://pensero.ai/blog): 200+ articles on engineering metrics, AI adoption, and team performance
- [Other resources](https://pensero.ai/blog/other-resources): additional articles and resources
- [Careers](https://pensero.ai/careers)
- [Support](https://pensero.ai/support)
- [Terms of service](https://pensero.ai/terms)
- [Privacy policy](https://pensero.ai/privacy-policy)
- [Book a demo](https://pensero.ai/book-demo)