Turn test plans into coverage
Write test steps in natural language and turn them into executable automation without hand-authoring complex scripts for standard flows.
Expand coverage without spending your week repairing tests
Turn test plans into resilient end-to-end coverage so you can focus on high-risk journeys, edge cases, and release confidence.
Start for free • No credit card required
What this changes for your workflow
Brittle scripts force QA teams to spend valuable time preserving old coverage instead of finding new risk. Mechasm acts as an agentic QA guide that helps your team create, run, maintain, and inspect practical end-to-end tests.
Move from testing friction to release confidence
Reduce routine repairs
When the product changes, self-healing execution reduces the amount of manual repair work needed to keep suites reliable.
Focus on release risk
Offload repetitive regression work so QA can spend more energy on exploratory testing, edge cases, and release risk.
Scale the journeys that protect releases
The platform is strongest when it helps QA teams scale practical coverage without growing the maintenance burden at the same pace.
Scale routine regression coverage
Cover common user journeys quickly without writing and maintaining boilerplate for each path.
Test real collaboration and inbox flows
Use multi-context testing and email link handling to validate approvals, invites, OTP, and onboarding journeys end to end.
Review failures with better evidence
Use traces, video history, and action-level debugging to understand what happened instead of guessing from a failing step name.
Spend more time improving quality
The main benefit is not just faster authoring. It is better leverage for the people responsible for release confidence.
Less time fixing brittle automation
Reduce the maintenance tax that normally comes from small UI refactors and day-to-day product change.
More time on risky scenarios
Shift effort toward edge cases, exploratory passes, and coverage gaps that actually move product quality forward.
Stronger visibility into suite health
Track pass rates, flaky tests, and maintenance signals through reporting and analytics as the suite grows.
Prove it on your own workflow
Start free, use one real user journey, and decide from evidence generated against your application.
- Describe a real journeyWrite the acceptance path in plain language.
- Run it on your applicationUse the same environment and interactions your users depend on.
- Review the evidenceInspect the run, decide what to keep, and export when you want code ownership.
Build the workflow your team needs
Add the capabilities that help your team create, run, debug, and maintain reliable tests with less friction.