Know what works before you ship.
Evaluation as a Service for search, agents, and LLMs. We design the evaluation based on your goals and give you a clear winner.
What we evaluate
Every team measures quality differently. We help you evaluate the parts of your stack that matter most, using your own data and success criteria.
Search & RAG quality
Test how well providers handle your real queries, sources, and ranking rules. See which search stack returns the right answer, from the right source, at the right depth.
Agent performance
Measure multi-step agent flows: tool use, grounding, follow-up questions, and final answers. Understand where agents fail and which setup hits your target success rate.
Model comparisons
Compare models, prompts, and system settings side-by-side. Run the same query set through multiple configurations and get a clear, ranked view of what works best.
How it works
You don’t need an in-house eval team — we combine automated judging with optional human reviewers and give you a simple, decision-ready report.
Step 1: Share your scenario
Tell us what you’re trying to evaluate: search, agents, or model choices. Share example queries, key workflows, and any existing golden sets.
Step 2: Choose your review method
We can score answers with LLM judges, human reviewers, or a mix of both — you decide how rigorous you need the evaluation to be.
Step 3: Get a clear winner
Draw from hundreds of millions of images across the web to elevate your applications.
Custom evaluation design for your team
We turn your goals into a concrete evaluation plan so you don’t have to invent a framework from scratch.
We design your evaluation around the decisions you need to make
Whether you’re switching search providers, validating a new agent workflow, or comparing models or prompts, we design your evaluation to give you clarity and help you make the right decisions.
Works with your existing stack
We evaluate your setup, not a demo lab. Bring any combination of providers, models, and tools.
OpenAI & Anthropic
Run evals across the latest frontier models, including your own prompt and tool configurations.
Databricks & internal data
Test search and RAG on top of your lakehouse, vector store, or internal knowledge base.
Custom / self-hosted models
Compare hosted APIs with your own models and see where each one wins.