INTRODUCING SIFT AGENTS. LEARN MORE
Automated test data review applies predefined checks to test measurements and flags conditions for engineering review. It makes recurring evaluations repeatable, identifies relevant events within large datasets, and records findings that reviewers can investigate and resolve.
Sift automates repeatable telemetry checks through Rules and Report Templates. Engineers define conditions such as a temperature exceeding its limit or a known error appearing in a log. They can generate Reports through the UI or script Report generation across many Runs with Sift’s Python client.
Sift evaluates the checks and creates Annotations at detected events. Reviewers open the associated telemetry, assign findings, and record whether each requires corrective action or is accepted. The same checklist can be used on subsequent Runs, turning a recurring review process into a reusable engineering workflow.
See how automated test data review works in the Sift platform.
