Evaluation lab
Scenario tests for reasoning, factuality, refusal behavior, and tool use.
Research
Understanding models before putting them into important workflows.
Our research combines model evaluation, interpretability, human feedback, and product telemetry to make AI systems more predictable and useful.
Interpretability
Work to explain model patterns and identify failure modes earlier.
Applied safety
Controls and policies that make deployment decisions easier for teams.
Journal
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Updates from AI CHAT.
How we evaluate helpfulness before a model reaches customers.
A practical guide to grounded answers.
New connectors for enterprise knowledge bases.
AI CHAT opens a new applied safety lab.
Principles
Build AI that is understandable, useful, and easy to govern.
Every AI CHAT product is shaped by clear evaluation, explicit boundaries, and practical controls for the people who use it.
Transparent behavior
Answers include context, assumptions, and uncertainty when the task calls for it.
Enterprise control
Teams can define data boundaries, review usage, and connect AI to approved tools only.
Measured progress
New capabilities ship with evals, monitoring, and rollback paths for production use.
Asted Cloud