FOR AI TEAMS

Understand how
your models perform.

Bring verified software experts into your evaluation workflow. Get independent judgments, clear consensus, and structured data your team can use.

Request a partnership
Software engineers discussing model output quality

From evaluation brief to useful evidence.

01

Share your goals

Submit a partnership request with your evaluation needs, expected scope, and timeline.

02

Align with our team

We review your request, discuss project fit, and agree on the review approach before approving access.

03

Start your program

After approval, your invitation opens a workspace for projects, expert reviews, and structured results.

PURPOSE-BUILT EVALUATION

Go beyond
a single score.

See the reasoning behind model performance. Connect each judgment to its artifact, reviewer, and rubric.

01

Code and patch evaluation

Review correctness, maintainability, instruction following, and security.

02

Blinded pairwise comparison

Compare two model responses with independent expert judgments.

03

Structured evaluation data

Bring accepted records into your analysis with CSV and JSONL exports.

Illustration of an annotated code review, a magnifying glass, and a blue pencil on a dark desk
EXAMPLE REVIEW4.5/ 5

Across four criteria

EXPERT JUDGMENT

The detail behind
the decision.

Every score has context: the artifact, the rubric, and the reviewer’s reasoning.

See the score breakdown
Correctness4 / 5
Instruction following5 / 5
Code quality4 / 5
Security5 / 5

4 + 5 + 4 + 5 = 18 out of 20, or an average of 4.5 out of 5.

Illustrative example · Not a published evaluation result.

QUALITY THROUGHOUT THE WORKFLOW

Independent review.
Visible disagreement.
Decisions with a record.

Explore our evaluation methodology

See the workflow for yourself.

Request a partnership