Evaluate

Measure Real Engineering Output.

One bad engineer costs $100K+/yr. This finds them. Stanford-backed AI scores real output from your git history — not LOC, not story points, not gut feel.

No payment required. Your source code never leaves your environment.

70

Real Java Commits Validated

99%

Faster Than Manual Review

Stanford

Peer-Reviewed Research

We are a proud

P10Y

P10Y Reseller

The Research

Validated by Stanford Research

An evidence-based alternative to LOC, story points, and gut feel — backed by Stanford and applied by P10Y.

01

Validated with Real Code, Not Theory

Seventy real Java commits analyzed by ten experts to establish a ground-truth evaluation benchmark.

02

Grounded in Stanford Research

Trained on reviews by senior software professionals using structured, peer-reviewed evaluation criteria.

03

Expert-Level Code Review, Powered by AI

AI models now mirror expert code assessments — in seconds, not hours.

04

Beyond LOC & Story Points

Traditional metrics fall short. AI estimation correlates significantly better with real development effort.

05

99% Faster Than Manual Review

Expert-level insights in under one second per commit — at the scale of your entire git history.

06

Applied by P10Y, Informed by Stanford

An approach actively deployed by P10Y and grounded in Stanford's peer-reviewed research.

The Product

What the Assessment Reveals

Four capabilities that replace guesswork with data.

Feature 01

Internal & Industry Benchmarking

A universal, tech-agnostic output metric lets you benchmark your team's performance against global peers and against itself over time.

Internal and industry benchmarking dashboard

Feature 02

Based on Stanford Research

Scientifically-validated software productivity insights — not heuristics, not story points, not lines of code.

Stanford research-backed methodology diagram

Feature 03

Real-Time & Historical Insights

See current performance in real time and measure the downstream impact of decisions you made months or years ago.

Real-time and historical productivity insights

Feature 04

Cloud & On-Prem Versions

Deploy to our cloud or install on-prem for heightened security needs. Your source code never leaves your environment.

Cloud and on-premise deployment options

Who It’s For

Target Audience & Use Cases

Target Audience

  • Software companies optimizing engineering teams

  • M&A requiring technical due diligence

  • Companies selecting outsourcing partners

  • Teams managing performance and benchmarking

  • Businesses doing advanced analytics and tool ROI

  • Companies with remote, hybrid, or office setups

  • Decision-makers making refactoring decisions

Use Cases

  • 01

    Optimize Team Size

  • 02

    M&A Technical Due Diligence

  • 03

    Manage Team Performance

  • 04

    Internal & External Benchmarking

  • 05

    Advanced Analytics and Tool ROI

  • 06

    Remote, Hybrid, or Office Work

  • 07

    Refactoring Decisions

Pricing

Per-Person Monthly Plans

One bad engineer: $100K+/yr waste. This: from $35/person/mo. 14-day free trial.

Team

Up to 10 people

$50/person/mo

  • Full productivity scoring
  • Internal benchmarking
  • Cloud or on-prem
Best Value

Department

11-50 people

$45/person/mo

  • Everything in Team
  • Industry benchmarking
  • Historical trends

Enterprise

50+ people

$35/person/mo

  • Everything in Department
  • Dedicated support
  • Custom integrations

14-day free trial on all plans. Annual billing: 2 months free.

Get Started

Try Free for 14 Days

Tell us about your team. We’ll show you what we’d measure and what the benchmark looks like for a team like yours.

No payment required. We'll never share your information.

Try Free for 14 Days