Reprose

Reprose is the missing interface between product experts and ML teams, turning scattered, subjective feedback into structured signals that accelerate internal model iteration.

Today, product teams still rely on spreadsheets to review LLM outputs using product-led criteria such as desired tone or domain relevance. But the process is ad-hoc, inconsistent across teams, and lacks documented rationale, making it hard for ML teams to act on vague feedback and slowing down model improvements.

Reprose helps product teams:

• Set up evaluation criteria that reflect product-specific goals (e.g., tone, domain relevance, factuality)

• Compare model responses side-by-side for consistent, product-led reviews

• Capture judgments and rationale to explain decisions clearly and turn feedback into actionable model improvements for ML teams