Talotrace is an autonomous, AI-driven quality assurance platform that replaces manual and script-based testing with intelligent agents that understand your product, explore it like real users, and continuously validate critical flows across web, iOS, and Android.
Instead of just reporting pass/fail results, Talotrace delivers “Traces”: detailed, evidence-backed findings that include screen recordings, step-by-step reproduction, device/OS context, logs, network activity, severity, as well as, diagnosis and engineering guidance to accelerate fixes.
Key capabilities:
Product-aware testing: Upload builds (APK/IPA), code, PRDs, release notes, design files, and user stories so AI agents learn your features, workflows, business logic, and expected behaviors.
Autonomous mission execution: AI agents run user-flow “missions” across the devices, platforms, OS versions, and configurations that matter to your users, without requiring test scripts or heavy maintenance.
Evidence-backed findings: Every issue comes with a Trace containing video, reproduction steps, application state, logs, network activity, and affected environments, plus an independent review layer to reduce false positives.
From diagnosis to fix: When source code is available, Talotrace analyzes failures, surfaces likely causes, and provides engineering guidance (and eventually code patches) to speed up resolution.
Always-on, scalable QA: Run one mission or thousands on demand, 24/7, with consistent coverage and no fatigue, helping teams reduce QA spend and shrink regression cycles from days to hours.
Integrations & workflow fit: Issues can be linked directly into tools like Jira and Linear, fitting into existing engineering workflows.
Talotrace also offers an optional Revenue Intelligence layer: the same agents that test your product can analyze conversion journeys, detect revenue leaks, benchmark experiences against competitors, and highlight growth opportunities to improve activation, retention, and monetization.
