Everything you need to run the quality loop
Metrics, LLM judges, human review, and release scorecards — built so product teams can evaluate AI without writing code.
What you get
Datasets & Inputs
Upload a CSV with simple column mapping, generate synthetic cases, or start from curated sample sets that cover edge cases and failure modes.
Evaluation Metrics
Five preset packs — General Quality, RAG/Retrieval, Safety & Compliance, Conversational, Content Generation — plus fully custom metrics so every test reflects your definition of quality.
LLM-as-a-Judge
A judge LLM scores every output against your metrics and returns pass/fail, reasoning, and evidence for every row — so you see why something failed.
Human-in-the-Loop
Growth+Bring reviewers and domain experts into the loop for the nuanced judgments automated metrics miss.
Insights & Analysis
Metric breakdowns, pass/fail distributions, and failure clusters that point to root causes. Comparison runs and quality tracking over time coming soon.
Teams & Collaboration
Invite teammates and share metrics and runs. 1 seat (Free), 2 (Starter), 10 (Growth), unlimited (Enterprise).
Security & Enterprise
Cloud-hosted by default. Enterprise teams run deployments in their own infrastructure with full control over data management.