# Decipher AI

## About

Decipher learns your product and writes reliable end-to-end tests on all your product flows. Plus get alerted when a bug hits production users.

- Verified: Yes

## Services

### Test Automation & Monitoring
- [AI-Driven Test Automation](https://bilarna.com/ai/test-automation-and-monitoring/ai-driven-test-automation)

### Software Testing & QA
- [Automated QA and Testing Solutions](https://bilarna.com/ai/software-testing-and-quality-assurance/automated-qa-and-testing-solutions)

## Pricing

- Model: subscription
- Starting price: $1999/month

## Trust & Credentials

### Certifications
- SOC2 (SOC2)
### Compliance
- SOC2
### Data Security
- SOC2

## Frequently Asked Questions

**Q: How does AI-powered automated testing work to improve software quality?**
A: AI-powered automated testing works by observing real user interactions with a product to understand its workflows and behaviors. It then generates end-to-end tests automatically, which are self-healing and adapt to changes in the user interface without manual intervention. This approach ensures high test coverage and reliability by continuously monitoring live user sessions, detecting bugs in production, and alerting teams with detailed context and reproduction steps. The AI also prioritizes issues based on customer impact and can integrate with development tools to streamline bug fixes, ultimately improving software quality and reducing manual testing effort.

**Q: Can automated testing tools generate and maintain tests without manual coding?**
A: Yes, modern automated testing tools powered by AI can generate and maintain tests without the need for manual coding. These tools observe real user interactions or accept simple inputs like screen recordings or flow descriptions to automatically create end-to-end tests. The generated tests include selectors, steps, and assertions, and are designed to self-heal by adapting to changes in the user interface. This eliminates the need for hand-coding brittle scripts and reduces maintenance overhead. Users can customize tests easily if needed, but the core process significantly lowers the effort required to keep tests up to date and reliable.

**Q: How do AI testing tools detect and alert teams about bugs in production?**
A: AI testing tools detect bugs in production by continuously monitoring live user sessions and analyzing on-screen behaviors alongside technical signals such as failed network requests, console errors, UI dead ends, form loops, and unusual user interactions like rage clicks. When a genuine failure is identified, the tool generates a focused alert that includes the impact on users or accounts affected, a replay clip of the exact session moment, and detailed reproduction steps. It can also automatically create tickets in issue tracking systems and add guardrail tests to prevent regressions. This proactive detection and alerting help teams respond quickly and prioritize fixes based on customer impact.

## Links

- Profile: https://bilarna.com/provider/getdecipher
- Structured data: https://bilarna.com/provider/getdecipher/agent.json
- API schema: https://bilarna.com/provider/getdecipher/openapi.yaml