The robot fleet testing mobile apps the way a human thumb actually uses them.
MOBOT, NEW YORK. The wordmark and its signal-emitting robot mascot - a nod to a company where machines, not emulators, do the tapping. Photo: company brand asset.
Most software testing pretends. An emulator pretends to be a phone; a script pretends to be a user. It works right up until the moment your app has to do something a keyboard cannot fake - accept a push notification, follow a deep link from an ad, pair over Bluetooth, or scan a face with the camera. Those are exactly the moments that break in the wild, and exactly the moments most test suites skip.
Mobot's answer is unusual in a field obsessed with virtualization: use real robots to touch real devices. The New York company operates its own fleet of mechanical robots that physically tap, swipe and toggle between phones running actual iOS and Android builds. Computer vision reads the screen the way a person would, and human QA experts supervise the runs. Mobot calls the model QA-as-a-service, and when it launched publicly in 2022 it billed itself as the first robot-powered version of it.
The workflow is deliberately low-friction. A team records a video of the test it wants - no code required - and specifies device types and OS versions. Mobot converts that recording into an automated test plan, its robots run it across a broad device matrix, and results come back as side-by-side comparisons with baseline data and notes on what broke. Teams review, fix and ship.
The point is not novelty for its own sake. It is coverage. By handing the repetitive, physical, human-like work to machines that never tire, Mobot aims to eliminate thousands of hours of manual regression testing and catch bugs before an app-store release rather than after a one-star review.
*Customer-reported outcomes cited by Mobot; individual results vary.
"At Mobot, we build and operate our own robots as infrastructure-as-a-service. Using AI to program and guide them, we can communicate with the robots in natural language."
Fully-managed mobile testing for engineering teams. Mobot's team turns recorded video tests into automated test plans run by robots on real devices.
A self-service premium add-on giving teams more direct, on-demand control over their robotic test runs.
Mobile campaign monitoring for growth and marketing teams - robots validate deep links, push flows and campaigns end to end.
Everything plugs back into existing workflows through integrations with Jira, Slack and TestRail, so robotic test results land where engineers already work.
The mobile testing market is crowded with device clouds and automation frameworks - BrowserStack, Sauce Labs, LambdaTest, Kobiton and the Appium ecosystem among them. Most run tests on emulators or on real devices controlled remotely through software. That covers a great deal of ground, but it inherits software's blind spots.
Mobot's wager is that the last mile of testing is physical, and that a robot arm pressing a real screen sees failures a remote session never will. Its investors frame the same idea in market terms. Cota Capital's Adit Singh has described Mobot as "democratizing access to physical testing for the everyday software engineer," while Heavybit's Jesse Robbins says it "brings advanced QE capabilities to every mobile app developer in organizations of every size."
The founder reaches for a cloud analogy: robots as infrastructure you rent rather than build, the way teams rent servers instead of racking them. If that framing holds, Mobot is less a testing vendor and more a bet that physical AI agents become a standard layer of the mobile release stack.
Eden Full Goh founded Mobot in 2018, but her path to robotic QA started far from software. She dropped out of Princeton on a Thiel Foundation fellowship to build SunSaluter, a low-cost solar-panel rotator deployed in developing countries. The common thread is a taste for unglamorous, physical problems that plenty of people would rather solve in the abstract.
At Mobot she leads a team of roughly 46, spanning engineering, QA analysis and customer operations, built around stated values of quality and craftsmanship, inclusivity, and trusting your teammates. She is a frequent voice on the future of testing, arguing that AI-guided robots - controllable in plain language - are becoming "physical AI agents" that protect mobile-first customer experiences.
Eden Full Goh starts Mobot in New York to automate real-device mobile testing with mechanical robots.
Mobot launches its robot-powered QA-as-a-service platform, backed by Cota Capital, Heavybit and Uncorrelated Ventures.
The company adds a self-serve testing add-on and a campaign-monitoring product for marketing teams.
Mobot leans into AI-guided robots controllable in natural language, positioned as physical AI agents.
Mobile-first engineering, product and growth teams are Mobot's core users. Publicly referenced customers include Homebase, Rappi, Persona, Sandboxx, Vivint, Jolt, Koho, Step and Citizen. Sandboxx has been cited reaching a reported 100% iOS stability rating after moving regression testing onto Mobot's robots.
Mobot runs a fleet of real mechanical robots that test mobile apps on physical iOS and Android devices, using computer vision and human QA experts to catch bugs that emulators and software frameworks miss.
Those platforms run tests on emulators or remotely controlled devices. Mobot uses physical robots that tap, swipe and toggle real hardware, enabling tests like push notifications, deep links, Bluetooth pairing and camera flows.
Mobot was founded in 2018 by Eden Full Goh, a former Thiel Fellow who previously built the SunSaluter solar-panel rotator.
Mobot raised a $12.5M Series A in August 2022 led by Cota Capital, with roughly $18M raised in total from investors including Heavybit, Uncorrelated Ventures, Primary Venture Partners, Bling Capital and Y Combinator.
No. Teams record a video of the desired test, and Mobot converts it into an automated test plan run by robots on real devices - no scripts to write or maintain.