WhatA platform that generates realistic synthetic computer-use datasets (screen recordings, click patterns, workflow sequences) so companies can train AI agents without surveilling real employees.
SignalMultiple commenters point out that raw keystroke and mouse data is nearly useless without context and intent — and that the real motivation may not even be AI training. This suggests companies actually need curated, intentional training data, not bulk surveillance output.
Why NowThe backlash against Meta's approach creates immediate demand for an alternative that doesn't destroy employee trust, while computer-use AI models are entering production and need training data now.
MarketAI labs and enterprises building autonomous agents; $3B+ TAM in synthetic data market (Mostly AI, Gretel); gap in workflow-specific synthetic data for computer-use models.
MoatProprietary simulation engine that generates diverse, realistic workflow patterns across hundreds of enterprise apps — hard to replicate without deep app-level integration.
Meta to start capturing employee mouse movements, keystrokes for AI trainingView discussion ↗ · Article ↗ · 671 pts · April 21, 2026
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