User adoption
92%
236 of 257 engineers
12 devs this quarter
AI cost
$4,425
extra spend, quarter to date
25% from last quarter
Token efficiency
4.2k
tokens per delivery point
Defect rate
1.8%
of total delivery
10.6pp improvement
Token efficiency improving every week
↓ 4,218 tokens / pt today vs 10k+ in Nov
NovDecJanFebMarAprMay
Tokens per delivery point
AI spend stays lean as adoption scales
$4,425 total · $101.71 per engineer
NovDecJanFebMarAprMay
Weekly AI usage cost
AI-assisted PRs now drive 82% of delivery
1,859 pts shipped with AI this quarter
NovDecJanFebMarAprMay
PR deliveryOOO lossAI-assisted trend
Defects shrinking as AI usage rises
From 12.4% → 1.8% defect rate since Nov
NovDecJanFebMarAprMay
Defect costBug fixingAI adoption

Trusted by fast-growing companies around the world

Trusted by fast-growing companies around the world

Benchmark against
the market

Built with enterprise security and compliance
at its core

See how your engineering organization compares to industry peers across delivery, quality, collaboration, and AI impact. Know whether your teams are truly outperforming or simply keeping pace.

Industry percentile rankings

Delivery and quality benchmarks

AI adoption and impact comparison

feature name

Built with enterprise security and compliance
at its core

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  • Short main bullet point

  • Short main bullet point

  • Short main bullet point

Compare what matters,
inside your organization

Compare what matters,
inside your organization

Team calibration & scoring

Cohort comparison analysis

Performance measurement

01/04

Compare teams consistently

Put Backend, Frontend, Platform, AI, or Infrastructure teams side by side on one measurement framework. Spot differences in execution, quality, collaboration, and innovation fast.

Cross team comparison

Delivery vs quality analysis

Collaboration and AI adoption patterns

Team calibration & scoring

Cohort comparison analysis

Performance measurement

Compare teams consistently

Put Backend, Frontend, Platform, AI, or Infrastructure teams side by side on one measurement framework. Spot differences in execution, quality, collaboration, and innovation fast.

Cross team comparison

Delivery vs quality analysis

Collaboration and AI adoption patterns

One framework, any comparison

Any unit of comparison

Team, cohort, or individual, measured on one consistent framework.

Normalized for real work

Magnitude and complexity scoring keeps different kinds of work comparable.

Internal and external context

See performance against your own org and against industry peers in one view.

Built for decisions

Color coded scoring (above / below company & industry)

Up to 10 groups side by side

Compare whole sets of teams or cohorts at once.

11 performance metrics

Delivery, quality, collaboration, AI impact, and more in one place.

Drill down into every metric

Move from the top line score into the detail behind it.

"Pensero is why you want to work here."

Andrew Eye

CEO & Founder, ClosedLoop

Questions teams ask

Can I compare more than just teams?

How is this different from standard engineering metrics tools?

How do you account for teams working on different complexity levels?

Can I measure the impact of AI adoption?

Is Pensero only for engineering managers?

See the product in action

See the product in action

Turn raw engineering
activity into actionable insight

Turn raw engineering
activity into actionable insight

Turn raw engineering
activity into actionable insight

Know what's working, fix what's not, and make
better decisions with confidence.

Know what's working, fix what's not, and make better decisions with confidence.