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Revyl

Emerging

AI-native mobile testing from Uber DragonCrawl founder (saved $25M/4 months); YC Fall 2024 with $1.6M Panache/Feld pre-seed using AI agents for iOS/Android/web tests competing with Browserstack for semantic mobile QA automation.

37
AI Score
Grade D↑ Trending
AI Visibility Score (Beta)
CybersecurityWebsiteUpdated March 2026

Company Overview

About Revyl

Revyl is an AI-native mobile testing platform — backed by Y Combinator (Fall 2024) with $1.6 million in total funding including a $1.1 million USD pre-seed led by Panache Ventures with Feld Ventures and Y Combinator — providing mobile app development teams at iOS, Android, and web platforms with AI agents that create and maintain end-to-end tests connected to telemetry traces, catching bugs before production by learning a semantic understanding of applications and executing tests like human testers without brittle script maintenance. Founded in 2024 by Anam Hira and Landseer Enga (University of British Columbia graduates), Revyl's origins trace to Anam's work building DragonCrawl at Uber — an LLM-based mobile testing framework that detected 11 critical incidents before production and saved $25 million in four months.

Business Model & Competitive Advantage

Revyl's AI testing platform addresses the maintenance burden that makes automated mobile testing impractical for most development teams: traditional mobile test automation (Appium, Detox, XCUITest) requires writing brittle scripts tied to UI element identifiers (button IDs, view hierarchy paths) that break with every UI change — a single redesign of an app screen can invalidate hundreds of tests, creating a cycle where maintaining the test suite requires as much engineering effort as building the features it tests. Revyl's AI agents (understanding the application semantically rather than by UI element identifiers, executing test flows based on described user intent rather than recorded click paths) maintain their validity through UI changes because they understand "tap the checkout button" conceptually rather than "tap element #checkout-btn-v2" literally — eliminating the test maintenance debt that makes most teams reduce test coverage rather than expand it.

Competitive Landscape 2025–2026

In 2025, Revyl competes in the AI testing, mobile QA automation, and software quality assurance market with Maestro (mobile testing platform, $12M raised), Browserstack (cross-browser and mobile testing, $200M raised), and Sauce Labs (test cloud automation, acquired by Francisco Partners) for mobile app development team automated testing and QA platform adoption. Y Combinator Fall 2024 backing connects Revyl with the developer tools and AI infrastructure investor community. The Uber DragonCrawl validation ($25M savings in four months) provides the documented enterprise ROI case that enterprise mobile QA teams evaluate. Panache Ventures' pre-seed leadership reflects Canadian deep tech VC conviction. The 2025 strategy focuses on growing the enterprise mobile app development team segment (where high release frequency creates the highest test maintenance burden), building the telemetry trace integration for root-cause attribution (connecting test failures to the specific microservice or API call responsible), and expanding the AI test generation from mobile to web and backend integration testing.

Founded
2024
Headquarters
San Francisco, California
Curated content • Fact-checked and verified

The Revyl Story

Founded in 2024
San Francisco, California
Founded by Anam Hira, Landseer Enga

Founders

Anam HiraLandseer Enga

Recent Activity

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Company Timeline

Major milestones in Revyl's journey

5
Total Events
1
Funding Rounds
1
Product Launches

Leadership Team

Meet the leaders behind Revyl

Landseer Enga

Co-Founder & CEO

Landseer Enga co-founded Revyl and serves as CEO. He brings experience from growth-stage startups working as a PM and Engineer, along with expertise in web scraping and data collection for PE firms. He studied at the University of British Columbia.

Anam Hira

Co-Founder & CTO

Anam Hira co-founded Revyl and serves as CTO. She built DragonCrawl, an LLM-based mobile testing framework at Uber that saved $25M in 4 months by detecting 11 P0 incidents. A machine learning engineer by background, she studied at the University of British Columbia.

Key Differentiators

Emerging Innovator

Revyl is an emerging player bringing innovative solutions to the Security market.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

37
↑ Trending

Based on estimated brand signals. Historical tracking coming soon.

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