Decipher AI
Decipher AI provides AI-powered QA agents that automatically generate, maintain, and self-heal end-to-end tests while monitoring production for live bugs.
At a Glance
- Software startups
- Growth-stage tech companies
- Enterprise engineering teams
AI Tools by Decipher AI
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Decipher AI
AI E2E Test Generation Platform
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Latest News
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Decipher x Claude: Let Claude Code generate self-maintaining E2E tests
Decipher AI Raises $500K Funding Round
Decipher AI Selected for Y Combinator Winter 2024 Batch
Products & Services
An AI agent platform that automatically generates, maintains, and self-heals end-to-end (E2E) tests.
A module for real-time production failure detection with session replays, network logs, and user impact quantification.
Security-focused version of the platform with SAML/SSO, custom integrations, and dedicated support.
Market Position
Positioned as an 'Agentic QA' platform that moves beyond static testing tools by using AI to autonomously maintain and expand test suites.
Leadership
Founders
Michael Rosenfield
Co-founder at Decipher AI. Previously served as a Senior Product Manager at Google.
Rohan Das
Co-founder at Decipher AI. Previously a Staff Software Engineer and Engineering Manager at Google. Also co-founded Semester.ly.
Executive Team
Michael Rosenfield
Co-Founder
Experienced product leader, formerly Senior PM at Google.
Rohan Das
Co-Founder
Expert engineer, former Staff Software Engineer and EM at Google.
Board of Directors
Founding Story
Founders Rohan Das and Michael Rosenfield met at Google, where they led major product and engineering teams. They left to solve the massive bottleneck of manual QA and flaky test maintenance by leveraging generative AI.
Business Model
Revenue Model
SaaS Subscription with usage-based components for additional test runs and user sessions.
Pricing Tiers
Includes 1,250 test runs, 5,000 monitored user sessions, Linear/Asana integration, and self-healing agents. 14-day free trial.
Includes all Pro features plus SAML/SSO, dedicated support, and customizable data retention.
Target Markets
- Software startups
- Growth-stage tech companies
- Enterprise engineering teams
- Rapid E2E coverage for new features
- Eliminating manual selector maintenance
- Detecting production failures before users report them
- Automated bug reproduction
- Startups and enterprises in the tech sector