"Automatically catch and fix bugs before users find them."
TL;DR: Revyl creates resilient end-to-end tests linked to telemetry traces to catch and triage bugs before they reach production.
https://www.youtube.com/watch?v=Zy7yXTomh7M&ab_channel=AnamHira
Founded by Landseer Enga & Anam Hira
- @Anam Hira: Built DragonCrawl, an LLM-based mobile testing framework, while working as a machine learning engineer at Uber. Dragoncrawl saved $25M in 4 months, detecting 11 P0 incidents.
- @Landseer Enga: Experienced in growth-stage startups (PM/Engineer), did some web scraping for PE firms.
Problem:
- E2E tests frequently break due to UI changes
- Finding the root cause of a bug can be extremely time-consuming
- Bugs in production cause revenue loss and erode customer trust
- Testing practices are fragmented across web and mobile
Solution:
Revyl was developed to simplify your QA pipeline. Provide them with your user flows, and they'll handle the rest.
At its core, Revyl uses resilient end-to-end tests connected to telemetry traces to enable companies to catch and triage bugs before they reach production. Revyl supports tests across Web, iOS and Android.
This approach:
- Catches bugs across your whole tech stack
- Prevents bugs from reaching production
- Accelerates triaging by pinpointing UI and/or microservice failures
- Cuts test maintenance to near zero
Learn More
🌐 Visit www.revyl.ai to learn more.
📅 Book a meeting or email the founders if you struggle with testing and want to start pushing to prod on Fridays.
🤝 If you know anyone on QA/Observability teams they would love to talk to them, email the founders here.
👣 Follow Revyl on LinkedIn & X.
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