Stop guessing what’s performing.Start proving it.

Internal reality is what drives your decisions.

Pensero lets you compare any team, cohort, or individual side by side on real delivery, quality, and AI impact.

Pensero Calibrate page with example data: New joiners, Engineering, Company and Industry side by side on 11 metrics, from Active headcount to Knowledge gaps. Each cell has a colour from Top performer to Low performer.

Measuring the agentic workforce at fast-growing companies around the world

Tools

Other tools show activity.Pensero shows relative performance.

Objective visibility into every engineering contribution.

Other tools show

  • Tickets closed
  • PRs merged
  • AI adoption rates

Pensero shows

  • Contribution imbalances across the team
  • Knowledge silos and gatekeeping patterns
  • Review effectiveness and speed gaps

Platform

One view to compare teams, people, and cohorts.

  • Always with real context

    Numbers only matter in comparison, never in isolation.

    Every view includes:

    • Company average
    • Industry median

    Understand if performance is strong, weak, or just average, instantly.

    Pensero Calibrate matrix with example data: delivery points per headcount, defect cost, issue cycle time, AI user adoption and talent density for 2 teams, the company and the industry. Company against industry: Delivery 57.4 against 55.9, Quality 15% against 18%, Efficiency 34h against 41h, AI Impact 71% against 54%, Talent 28% against 22%. The Data and New hires teams are worse than the company on every row, the AI adopters and Staff+ teams are better.
  • Understand performance across individuals

    Move from subjective reviews to evidence-based decisions.

    Compare:

    • Individual vs team average
    • Individual vs peers
    • Individual vs industry

    Use it for:

    • Promotions
    • Performance reviews
    • Probation assessments
    • Identifying top performers and support needs
    Pensero individual delivery chart with example data: Ava Thompson's delivery was higher than 82% of the team this period. Her weekly relative delivery goes from 66 to 78 out of 100 in 39 weeks, between 62 and 88, with 5 out of office weeks. The Compare to menu is open: Benchmark, Frontend guild, Team (selected) and Level.
  • Compare any group, not just teams

    Org charts don’t answer real questions.

    Pensero lets you compare:

    • New hires vs tenured engineers
    • Contractors by vendor
    • Remote vs onsite
    • Seniors vs mid-levels
    • Any cohort you can define

    If you can describe the group, you can compare it.

    Pensero scope selector with example data, All tab: 512 Eng. + Agents, AI adopters, Platform, Ava Thompson, Devin are selected, so a cohort, a team, a person and an agent are on the same metrics.
  • Compare teams side by side

    See how your teams actually perform relative to each other.

    Compare:

    • Delivery per headcount
    • Defect rate
    • AI adoption
    • Collaboration patterns

    Patterns surface instantly — no digging, no interpretation layers.

    Pensero Calibrate matrix with example data: delivery points per headcount, defect cost, issue cycle time, AI user adoption and talent density for 3 teams, the company and the industry. Company against industry: Delivery 57.4 against 55.9, Quality 15% against 18%, Efficiency 34h against 41h, AI Impact 71% against 54%, Talent 28% against 22%. The Data and New hires teams are worse than the company on every row, the AI adopters and Staff+ teams are better.

Color-coded scoring (above/below company & industry)

Built for decisions.

  • Up to 10 groups side by side
  • 11 performance metrics
  • Drill-down into every metric
Pensero Calibrate page with example data: groups, the company and the industry side by side on 11 metrics. Cells above the company and the industry are green, cells below are red.

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.