SOLUTIONS FOR AI TEAMS

Make quality
visible.

From individual code changes to model comparisons, bring expert reasoning into your evaluation process.

Code & patch evaluation

Understand whether a change solves the problem—and where it falls short. Review correctness, maintainability, security, and adherence to the brief.

Code artifacts · Expert rationales · Rubric scores

Compare model outputs without exposing model identity to reviewers. Preserve independent judgments and investigate disagreement.

Pairwise judgments · Preference labels · Review evidence

Organize accepted reviews into structured records for analysis. Define the data scope, usage permissions, and export requirements with our team.

Structured records · Versioned exports · Clear provenance

A CONSIDERED START

Every client partnership starts with a request and a conversation about scope. Workspace access follows team approval.