Checksum

Checksum generates, executes and maintains end-to-end, API and unit tests, including tests targeted to pull-request changes and production errors with human verification services. Engineering teams should restrict repository and environment access, isolate test data, review generated assertions, prevent destructive production actions and retain accountable release approval.

Use authorized inputs and grant connected accounts the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, messages, code and media, preserve originals and version history, and retain accountable human approval before publication, outreach, deployment or operational action.

Pricing is based on the number of maintained workflows without per-seat or per-run charges and is provided through a demo. Workflows, coverage, environments, integrations, verification, onboarding, support and contract terms determine cost.

AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, training and retention terms, renewals, refunds, platform rules and applicable law. Education, employment, health, finance, compliance, marketing and customer-facing workflows require qualified human review.