Pensero vs. Jellyfish[Skip to content](#main) [Pensero](/) - Platform Measure - [Next movesWhat to improve, why, and what to do next](/platform/next-moves) - [Agentic ROICost per unit of delivered work](/platform/agentic-roi) - [AI DeploymentAdoption, output and quality of AI](/platform/ai-intelligence) - [Delivery IntelligenceOutput and flow by source](/platform/delivery-intelligence) Govern - [BenchmarkingCompare teams, agents and models](/platform/talent-benchmarking) - [Code QualityDefects and rework by source](/platform/code-quality) - [CapEx & FinanceCapitalization and spend allocation](/platform/capex-analysis) [Pensero MCPNewYour next moves in any assistant](/platform/mcp) - Use cases By role - [CEOs](/use-cases/roles-ceo) - [CTOs](/use-cases/roles-cto) - [CFOs](/use-cases/roles-cfo) - [Product leaders](/use-cases/roles-product-leaders) - [Engineering managers](/use-cases/roles-engineering-managers) - [Investors](/use-cases/roles-investors) Compare Pensero - [DX](/use-cases/competitors-dx) - [Swarmia](/use-cases/competitors-swarmia) - [Haystack](/use-cases/competitors-haystack) - [Span](/use-cases/competitors-span) - [Jellyfish](/use-cases/competitors-jellyfish) - [Waydev](/use-cases/competitors-waydev) - [LinearB](/use-cases/competitors-linearb) - [Faros AI](/use-cases/competitors-farosai) - [Larridin](/use-cases/competitors-larridin) - [Weave](/use-cases/competitors-weave) - [Exceeds AI](/use-cases/competitors-exceeds-ai) - [How it works](/how-it-works) - [Customers](/customers) - [Pricing](/#pricing) - Resources - [About](/about) - [BlogNews, tips, and dev culture](/blog) [Log in](/auth/login/)[Book a scoping session](/book-demo) [Log in](/auth/login/)[Book a scoping session](/book-demo) Head-to-Head # Pensero vs Jellyfish Same problem. Different approach. Jellyfish measures activity while Pensero focuses on understanding the complexity and magnitude of the problem behind your code. [Book a scoping session](/book-demo) How do they differ? ## Built for different questions Jellyfish helps you understand engineering investment allocation. Pensero helps you understand whether that investment is producing meaningful output. Pensero andJellyfish, feature by feature | Feature | Pensero | Jellyfish | | --- | --- | --- | | AI adoption and usage trackingJellyfish tracks adoption and agent sessions; Pensero ties them to value | Yes | Yes | | AI spend and token cost trackingJellyfish manages token cost; Pensero shows cost per delivered point | Yes | Yes | | Delivered output weighted for size and complexity | Yes | No | | Humans, AI-assisted engineers and agents on one scale | Yes | No | | Cost per unit of delivered work | Yes | No | | Cross-company benchmarksJellyfish benchmarks productivity; Pensero benchmarks delivered value | Yes | Yes | | Next moves pinpointed from your dataJellyfish shares power-user tips; Pensero says which work moves to agents | Yes | Yes | | Level on the 5 levels, measured from delivery data | Yes | No | | Forward-deployed engineers and transformation program | Yes | No | What is the main difference between Pensero and Jellyfish? Jellyfish is commonly used to understand engineering investment allocation. Pensero focuses on whether that investment is converting into meaningful, complexity-aware delivery outcomes. Can Pensero show actual delivery value, not just investment allocation? Yes. Pensero scores each unit of work by its complexity and magnitude, then connects that to quality outcomes so leaders can see whether a given piece of delivery was actually hard and valuable, not just whether it shipped. This is the layer underneath what most allocation and capitalization tools report at the team or initiative level. Does Pensero include board-ready performance reporting? Yes. Pensero supports objective reporting for executive and board conversations, including delivery, quality, benchmarking, and AI impact signals. How does Pensero handle AI measurement compared with Jellyfish? Pensero emphasizes AI delivery value, quality/rework impact, and agent performance accountability. This supports ROI and risk discussions beyond simple AI code share. Can Pensero measure non-code engineering contribution? Yes. Pensero pulls in tickets, messages, documents, and conversations alongside code, so leaders can evaluate contribution across roles and collaboration patterns  not just PRs or commits. When should a team choose Pensero over Jellyfish? Choose Pensero when you need calibration-grade, complexity-weighted performance data at the individual and work-item level — a layer Jellyfish's rollups and financial reporting aren't built to go down to. Teams making staffing, promotion, or performance decisions get more defensible evidence from that granularity than from allocation or investment views alone. [Book a scoping session](/book-demo) ## Engineering teams already measuring with Pensero - ![Perk](/assets/perk.DIhhlz_V.svg) - [![ClosedLoop](/assets/closedloop.LndNNhWa.svg)](/customers/closedloop) - [![Stord](/assets/stord.BXJiX-0z.svg)](/customers/stord) - ![Tuio](/assets/tuio.DIcICsWC.svg) - [![Persuit](/assets/persuit.qooajJ_O.svg)](/customers/persuit) - [![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)](/customers/seatcode) - [![Cubbo](/assets/cubbo.DrZVo-Jj.svg)](/customers/cubbo) - ![Elfie](/assets/elfie.CMU2D-DP.svg) - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) - ![ShopMy](/assets/shopmy.CzXp_cHg.svg) - ![iAhorro](/assets/iahorro.1UZLRwjC.svg) - ![Hum Capital](/assets/hum.DEUDy0_m.svg) - [![Exoticca](/assets/exoticca.PyF3BVAE.svg)](/customers/exoticca) - [![Zynap](/assets/zynap.Bwa6Rd5C.svg)](/customers/zynap) - ![Perk](/assets/perk.DIhhlz_V.svg) - [![ClosedLoop](/assets/closedloop.LndNNhWa.svg)](/customers/closedloop) - [![Stord](/assets/stord.BXJiX-0z.svg)](/customers/stord) - ![Tuio](/assets/tuio.DIcICsWC.svg) - [![Persuit](/assets/persuit.qooajJ_O.svg)](/customers/persuit) - [![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)](/customers/seatcode) - [![Cubbo](/assets/cubbo.DrZVo-Jj.svg)](/customers/cubbo) - ![Elfie](/assets/elfie.CMU2D-DP.svg) - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) - ![ShopMy](/assets/shopmy.CzXp_cHg.svg) - ![iAhorro](/assets/iahorro.1UZLRwjC.svg) - ![Hum Capital](/assets/hum.DEUDy0_m.svg) - [![Exoticca](/assets/exoticca.PyF3BVAE.svg)](/customers/exoticca) - [![Zynap](/assets/zynap.Bwa6Rd5C.svg)](/customers/zynap) - ![Perk](/assets/perk.DIhhlz_V.svg) - [![ClosedLoop](/assets/closedloop.LndNNhWa.svg)](/customers/closedloop) - [![Stord](/assets/stord.BXJiX-0z.svg)](/customers/stord) - ![Tuio](/assets/tuio.DIcICsWC.svg) - [![Persuit](/assets/persuit.qooajJ_O.svg)](/customers/persuit) - [![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)](/customers/seatcode) - [![Cubbo](/assets/cubbo.DrZVo-Jj.svg)](/customers/cubbo) - ![Elfie](/assets/elfie.CMU2D-DP.svg) - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) - ![ShopMy](/assets/shopmy.CzXp_cHg.svg) - ![iAhorro](/assets/iahorro.1UZLRwjC.svg) - ![Hum Capital](/assets/hum.DEUDy0_m.svg) - [![Exoticca](/assets/exoticca.PyF3BVAE.svg)](/customers/exoticca) - [![Zynap](/assets/zynap.Bwa6Rd5C.svg)](/customers/zynap) - ![Perk](/assets/perk.DIhhlz_V.svg) - [![ClosedLoop](/assets/closedloop.LndNNhWa.svg)](/customers/closedloop) - [![Stord](/assets/stord.BXJiX-0z.svg)](/customers/stord) - ![Tuio](/assets/tuio.DIcICsWC.svg) - [![Persuit](/assets/persuit.qooajJ_O.svg)](/customers/persuit) - [![SEAT CODE](/assets/seat-code.Y7Tj-94e.svg)](/customers/seatcode) - [![Cubbo](/assets/cubbo.DrZVo-Jj.svg)](/customers/cubbo) - ![Elfie](/assets/elfie.CMU2D-DP.svg) - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) - ![ShopMy](/assets/shopmy.CzXp_cHg.svg) - ![iAhorro](/assets/iahorro.1UZLRwjC.svg) - ![Hum Capital](/assets/hum.DEUDy0_m.svg) - [![Exoticca](/assets/exoticca.PyF3BVAE.svg)](/customers/exoticca) - [![Zynap](/assets/zynap.Bwa6Rd5C.svg)](/customers/zynap) - ![Elfie](/assets/elfie.CMU2D-DP.svg) > “And the best part: it was truly plug-and-play — we were live in just one day.” Jean-François LegourdCo-founder, Elfie - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) > “Pensero gives me daily peace of mind.” Jose-Luis VilarCo-founder and CPTO, Caravelo - ![ClosedLoop](/assets/closedloop.LndNNhWa.svg) > “With Pensero we go 4x faster.” Andrew EyeCEO and Founder, ClosedLoop[Read story →](/customers/closedloop) - ![Stord](/assets/stord.BXJiX-0z.svg) > “Finally a tool that truly increases velocity.” Nick TraylorHead of Engineering, Stord[Read story →](/customers/stord) - ![Zynap](/assets/zynap.Bwa6Rd5C.svg) > “Pensero is my compass for knowing where the team is headed.” Jordi MiróCTO, Zynap[Read story →](/customers/zynap) - ![Elfie](/assets/elfie.CMU2D-DP.svg) > “And the best part: it was truly plug-and-play — we were live in just one day.” Jean-François LegourdCo-founder, Elfie - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) > “Pensero gives me daily peace of mind.” Jose-Luis VilarCo-founder and CPTO, Caravelo - ![ClosedLoop](/assets/closedloop.LndNNhWa.svg) > “With Pensero we go 4x faster.” Andrew EyeCEO and Founder, ClosedLoop[Read story →](/customers/closedloop) - ![Stord](/assets/stord.BXJiX-0z.svg) > “Finally a tool that truly increases velocity.” Nick TraylorHead of Engineering, Stord[Read story →](/customers/stord) - ![Zynap](/assets/zynap.Bwa6Rd5C.svg) > “Pensero is my compass for knowing where the team is headed.” Jordi MiróCTO, Zynap[Read story →](/customers/zynap) - ![Elfie](/assets/elfie.CMU2D-DP.svg) > “And the best part: it was truly plug-and-play — we were live in just one day.” Jean-François LegourdCo-founder, Elfie - ![Caravelo](/assets/caravelo.Bqd9IFLJ.svg) > “Pensero gives me daily peace of mind.” Jose-Luis VilarCo-founder and CPTO, Caravelo - ![ClosedLoop](/assets/closedloop.LndNNhWa.svg) > “With Pensero we go 4x faster.” Andrew EyeCEO and Founder, ClosedLoop[Read story →](/customers/closedloop) - ![Stord](/assets/stord.BXJiX-0z.svg) > “Finally a tool that truly increases velocity.” Nick TraylorHead of Engineering, Stord[Read story →](/customers/stord) - ![Zynap](/assets/zynap.Bwa6Rd5C.svg) > “Pensero is my compass for knowing where the team is headed.” Jordi MiróCTO, Zynap[Read story →](/customers/zynap) ## Pensero proves engineering value and AI impact Objective visibility into every engineering contribution. - ### AI Transformation Track AI adoption, productivity impact, quality outcomes, and cost efficiency to prove the true business value of AI across engineering teams. [Learn more →](/platform/ai-intelligence) - ### Delivery Intelligence Provides real-time visibility into engineering output, delivery flow, and strategic alignment to ensure teams are shipping high-value work efficiently and without bottlenecks. [Learn more →](/platform/delivery-intelligence) - ### Talent & Benchmarking Uses objective performance data and industry benchmarks to evaluate teams, compare cohorts, and support better talent and leadership decisions. [Learn more →](/platform/talent-benchmarking) - ### Code Quality Measures code health, review effectiveness, defect trends, and technical debt to improve software quality and maintain strong engineering standards. [Learn more →](/platform/code-quality) - ### Financial Reporting Delivers finance-ready engineering reports that track CapEx, R&D capitalization, and project cost allocation for audit compliance and executive decision-making. [Learn more →](/platform/capex-analysis) Pensero Signals AI adoption AI intelligence AI-assisted Agents Engineering intelligence Work Quality Efficiency Reviews Company Contributors Benchmark Calibrate Settings Org settings Integrations Data health Help center MDMaria Diaz AI intelligence 512 Eng. + AgentsJul 28 – Oct 25 AI economicsContributorsAI budget Efficiency38% $1.42 $/point AI cost21% $255.6k in this period Compliance8pp 92% 471 of 512 Excess spend over budget7% $31.6k over the plan Delivery mix How work spreads across maturity levels 1-5: human-authored, AI-assisted and agents How much delivery lands at each agentic maturity level? 6,010 pts · 67% at level 4+ · 33% below JanMarAprMayJunJulAugSepOct - Human-authored - AI-assisted - AI-augmented review - Orchestrated agents - Autonomous agents How is delivery progressing across the agentic maturity levels? You're at level 4 of 5 · Orchestrated agents — Next: let agents ship low-risk PRs without a human (level 5) JanMarAprMayJunJulAugSepOct - Human-authored - AI-assisted - AI-augmented review - Orchestrated agents - Autonomous agents Efficiency & cost How efficiently we're using AI and what it costs How much does it cost to deliver a point? $1.42 per point JanMarAprMayJunJulAugSepOct What is our AI model usage costing? $5,870 in this period JanMarAprMayJunJulAugSepOct - AI-assisted cost - Agentic cost $/point distribution KTLO$2.86 Dev Productivity$2.12 Improvement$1.58 New Stuff$1.21 Other$0.94 Daily AI cost MonWedFri OctNovDecJanFebMarAprMayJunJulAugSep - No usage - Included in plan - Low - Moderate - High - Very high Adoption Who's using AI coding tools and who's using agents How many active devs are AI-assisted? 79.8% of active devs JanMarAprMayJunJulAugSepOct - AI-assisted devs - Agentic only - Not AI-assisted How many active developers are using agents? 46% of active devs JanMarAprMayJunJulAugSepOct - Agentic users - Non-agentic users Who's getting value? Distribution of AI efficiency across developers Cost per delivery point Cost efficiency ($/pt) Low delivery, High efficiency High delivery, High efficiency Low delivery, Low efficiency High delivery, Low efficiency MDJWLOOHSRDKEMLSPNNBAKTN Delivery ![Pensero AI intelligence page with example data: AI cost per point, AI cost, compliance and spend over budget, then weekly delivery by agentic maturity level, from human-authored work to autonomous agents, the cost per point, the daily AI cost, AI and agent adoption, and the cost efficiency of each person.](/assets/ai-intelligence-bottom.B0bvok0d_10kwoR.webp) Pensero integrations ## Go beyond code: understanding performance requires a 360° assessment Your entire delivery stack, translated into comparable signals. [Explore all integrations →](/integrations) - GitHub - GitLab - Bitbucket - Azure DevOps - GitHub Copilot - Cursor - Claude Code - Gemini Code Assist - OpenAI Codex - LiteLLM - Devin - SonarQube - Jira - Linear - YouTrack - GitHub Projects - Confluence - Notion - Google Drive - Slack - Microsoft Teams - Google Chat - Google Calendar - Microsoft 365 Calendar - Okta 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See insights in hours. Connect your stack. See months of history from day one. 1. 1 hour ### Connect & Structure Integrates repositories, tickets and messages automatically so AI can break work into measurable units, giving your team a unified, transparent view of everything delivered. 2. 1 day ### Analyze & Detect Surface delivery vs roadmap gaps, AI contribution patterns, and execution insights so bottlenecks and early performance drag become visible through evidence-based reviews. 3. 1 week ### Report & Decide Establish a single source of execution truth with team-level and AI vs human performance comparisons, enabling board-ready reporting and confident, scalable capital decisions. Next step ## Every program starts with a baseline In 30 minutes, we scope your audit with you: the teams, the tools and the numbers to measure. [Book a scoping session](/book-demo)[Start free](/auth/signup/) © 2026 Product shots use illustrative data. 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