startupanz · Nov 2025
Feature-style article on Docket’s vision-based browser agents, multi-step QA use cases, and customer-facing positioning.
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Docket is a Y Combinator-backed AI QA testing platform that lets teams write end-to-end tests in plain English and run them with vision-based, self-healing agents across web, iOS, Android, and desktop.
Primary product
AI-powered QA testing agent
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Software Development
Sub-industry
AI-driven QA testing / test automation
Offices
0 jobs at Docket
Check back later for new openings
Business model
Investors
Small founder-led engineering team, built by ex-Stripe, Brex, Citadel, Patreon, AWS, and GitHub engineers; culture signal is highly technical, product-obsessed, and focused on eliminating flaky QA work.
Pricing
Subscription / custom quote
Differentiators
Technology
Customers
Competitors
Estimated revenue
≈$330K ARR (estimated)
startupanz · Nov 2025
Feature-style article on Docket’s vision-based browser agents, multi-step QA use cases, and customer-facing positioning.
HireTop · Jun 2025
Startup coverage explaining Docket’s vision-based agents, plain-English test creation, and automatic test maintenance for web UI testing.
Paradigm / LinkedIn · Jun 2025
Podcast/post discussing Docket’s approach to generating and running UI tests from plain-language inputs, and framing it as an AI QA assistant for engineering teams.
Y Combinator
YC launch page describing Docket as an AI QA testing product that writes tests in plain English, uses multimodal agents, and keeps tests up to date automatically.
Docket blog
Company blog post positioning Docket for post-PMF startups and comparing it against QA Wolf, testRigor, Mabl, and Tricentis.