startupanz · Nov 2025
Feature-style article on Docket’s vision-based browser agents, multi-step QA use cases, and customer-facing positioning.
Company research
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Overview
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
San Francisco, California, United States
Business model
B2B SaaS
subscription
Funding
People & investors
Work & culture
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.
Product & market
Pricing
Subscription / custom quote
Differentiators
- —Vision-first and coordinate-based instead of DOM-selector based
- —Plain-English test creation for non-technical teammates
- —Self-healing when UI elements move or labels change
- —Supports web, iOS, Android, and desktop from one platform
- —Can test non-standard UI elements like canvases, iframes, and popups
- —Uses real user session data to keep tests aligned with actual behavior
- —Catches usability and UX friction, not just broken buttons
Technology
vision-based AI testing
coordinate-based recording
AI steps
recorded steps
real browser execution
iOS simulators
Android emulators
Python code steps
API steps
modules
CI/CD integration
GitHub integration
Slack notifications
Linear integration
Jira integration
Customers
eXp Realty
Centerpoint Connect
Nest Genomics
Competitors
QA Wolf
testRigor
Mabl
Tricentis
Virtuoso QA
Reflect
Leapwork
Katalon
Tricentis Testim
ContextQA
Scale & contact
Estimated revenue
≈$330K ARR (estimated)
Latest news
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.
Jobs and careers at Docket
0 jobs at Docket
No open positions
Check back later for new openings