We're building the observability layer that product teams have been quietly missing — and combining it with AI agents so insight finally moves at the speed of release.
The world spent an estimated $1.4 trillion last year on cleaning up the consequences of bad UX — abandoned carts, churned users, support tickets, lawsuits. Every dollar invested in UX returns up to $100, yet most teams still treat user experience as a quarterly review item, not a daily signal.
ActiveUX was founded on a simple belief: if engineers get Datadog and PagerDuty, designers and PMs deserve the same. Continuous, prioritized, revenue-attributed signal — and a way to test the fix before users feel the bug.
"In five years, every product team will have a UX observability platform. We're building the one they pick."
— from our seed deck, March 2025
A list of 10,000 events is not insight. ActiveUX collapses raw data into named issues you can act on this sprint, not next quarter.
Eight-week research cycles are out of step with weekly releases. We compress every step — recruit, run, synthesize — to the hour or under.
Mask sensitive data at the SDK. Air-gap AI agents from production. Never train on customer data. Trust is non-negotiable.
Founders Tony, Raymond, and Sophia had each independently watched UX research findings arrive too late to matter. They sketched the first version of ActiveUX over a weekend.
Joined by angels from Hotjar, Amplitude, and Figma. Built a 6-person team and the first instrumentation SDK.
Tested the agent simulation engine against real production sites. First customer recovered $42k in cart revenue from a single regression in week one.
Launched the AI agent fleet and CI integration. Customers from FormaCraft to Northwave Banking went live in week one.
The hiring page is open. We're looking for engineers, ML researchers, designers, and a head of customer success based in NYC, London, or remote.
Open roles in engineering, ML research, design, and customer success. Remote-first across NYC, London, and Lisbon.