Evaluate & Trust your AI
Trust your model in the real world. TryEval provides domain-curated datasets and evaluations that mirror user journeys.
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Why, How, What is Eval?
Why is Evaluation Critical?
Your model might work in the lab, but evaluation ensures it works in the wild. By testing on real‑world data, you catch blind spots early and base releases on evidence, protecting your business and your brand.
What is AI Evaluation?
AI evaluation proves your AI is accurate, safe and reliable. It's the process of testing your model on real‑world data to convert its behavior into a simple go/no‑go decision.
How to Evaluate?
Pick a dataset, define your success criteria, and run checks at scale. We deliver a clear scorecard with comparisons so you can see your model's performance and make data‑driven decisions.
Our Process
Define Your Goals
Tell us what success looks like—safety, accuracy, relevance or tone. Define custom metrics and criteria so every test delivers meaningful insights.
Select Metrics & Data
Choose from suggested metrics or add your own. Upload your dataset, generate synthetic cases or pick from curated public sets to cover edge cases and failure modes.
Connect Your Model
Link your LLM via a secure endpoint. Use quick‑start templates for major providers or customise your headers and timeouts—no heavy lifting required.
Run & Iterate
Launch your eval to see real‑time progress, detailed logs and a comprehensive scorecard. Drill into failures and iterate on your model with data‑driven confidence.