Pensero vs. LinearB[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 LinearB

Same problem. Different approach.

LinearB measures flow 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

**Pensero** gives leaders **objective visibility** into how engineering teams actually perform so they can make **high-stakes decisions** with confidence.

Pensero andLinearB, feature by feature

| Feature | Pensero | LinearB |
| --- | --- | --- |
| AI adoption and usage trackingLinearB tracks 24+ assistants; Pensero ties usage to delivered value | Yes | Yes |
| AI spend and token cost trackingLinearB allocates engineering 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 benchmarksLinearB benchmarks workflow metrics; Pensero benchmarks delivered value | Yes | Yes |
| Next moves pinpointed from your dataLinearB automates workflows; 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 key difference between Pensero and LinearB?

LinearB is built around flow optimization - DORA metrics, PR automation, cycle time. Pensero adds complexity-aware performance measurement on top, so teams shipping fewer, harder changes aren't penalized against teams merging high volumes of simple ones.

Does Pensero still help with delivery optimization use cases?

Yes. Pensero includes delivery visibility, but extends the analysis to value, quality, and performance comparability across teams and individuals.

How does Pensero improve performance reviews?

Pensero provides objective contribution evidence and calibration support, helping managers run more consistent and defensible review cycles.

Can Pensero measure AI ROI better than basic adoption metrics?

Yes. Pensero connects AI adoption with quality impact, rework risk, and delivery value to support practical ROI decisions.

Is Pensero useful for global organizations?

Yes. Pensero supports benchmarking across cohorts and geographies, helping global engineering organizations compare performance with consistent standards.

What outcomes can leaders expect after adopting Pensero?

Leaders typically gain clearer visibility into bottlenecks, stronger calibration confidence, and better alignment between engineering effort and business priorities.

[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

![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/litellm.C4QOqGas.svg)

![](/assets/claude.DOlzKZ_u.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/github.DZev-bo2.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/github.DZev-bo2.svg)![](/assets/sonarqube.D71q3Lu2.svg)

![](/assets/openai.BehpnYhp.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/gemini.CTK8sWeb.svg)

![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/github.DZev-bo2.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/github.DZev-bo2.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/jira.BAXK8NED.svg)

![](/assets/notion.OO1TZjDO.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/slack.D-9cHHlB.svg)

![](/assets/cursor.D-OzolLt.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/github.DZev-bo2.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/github.DZev-bo2.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/sonarqube.D71q3Lu2.svg)

![](/assets/openai.BehpnYhp.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/azure-devops.BsZPb3AG.svg)

![](/assets/claude.DOlzKZ_u.svg)![](/assets/github.DZev-bo2.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/github.DZev-bo2.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/google-calendar.C6oMYn-x.svg)

![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/devin.9dMB2Pvq.svg)![](/assets/github-copilot.sUPrBUMQ.svg)![](/assets/gitlab.NmSfLEo1.svg)![](/assets/slack.D-9cHHlB.svg)![](/assets/bitbucket.OVD1ZOhe.svg)![](/assets/azure-devops.BsZPb3AG.svg)![](/assets/microsoft-365-calendar.xurrt2kR.svg)![](/assets/litellm.C4QOqGas.svg)![](/assets/openai.BehpnYhp.svg)![](/assets/google-drive.D8knZIAZ.svg)![](/assets/notion.OO1TZjDO.svg)![](/assets/gemini.CTK8sWeb.svg)![](/assets/devin.9dMB2Pvq.svg)

![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/github.DZev-bo2.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/jira.BAXK8NED.svg)![](/assets/google-chat.B03QMcPN.svg)![](/assets/youtrack.V5BRCwo0.svg)![](/assets/google-calendar.C6oMYn-x.svg)![](/assets/claude.DOlzKZ_u.svg)![](/assets/microsoft-teams.q67VF17W.svg)![](/assets/cursor.D-OzolLt.svg)![](/assets/github.DZev-bo2.svg)![](/assets/confluence.Ci6f8Nk3.svg)![](/assets/okta.IyxOoTbF.svg)![](/assets/linear.DOKK1qh1.svg)![](/assets/sonarqube.D71q3Lu2.svg)![](/assets/jira.BAXK8NED.svg)

How it works

## Get started in minutes. 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.

Platform

- [Next moves](/platform/next-moves)
- [Agentic ROI](/platform/agentic-roi)
- [AI Deployment](/platform/ai-intelligence)
- [Delivery Intelligence](/platform/delivery-intelligence)
- [Benchmarking](/platform/talent-benchmarking)
- [Code Quality](/platform/code-quality)
- [CapEx & Finance](/platform/capex-analysis)
- [Pensero MCP](/platform/mcp)New
- [Integrations](/integrations)

Use cases

- [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](/use-cases/competitors-dx)

Company

- [About](/about)
- [How it works](/how-it-works)
- [Careers](/careers)
- [Blog](/blog)
- [LinkedIn](https://www.linkedin.com/company/penseroai/)
- [Support](/support)
- [Other resources](/blog/other-resources)
- [Glossary](/glossary)

Offices

- [Barcelona](https://maps.app.goo.gl/6pfxKiKFNKzLPPnB6)
- [Madrid](https://maps.app.goo.gl/jEpYBUR4E6AqZs4R6)
- [New York](https://maps.app.goo.gl/szk58Jf2MBq14MgAA)
- San FranciscoSoon

Legal

- [Privacy policy](/privacy-policy)
- [Cookie policy](/cookie-policy)
- [Terms of service](/terms)
- [DPA](/dpa)
- [Security](https://pensero.trust.site)