PostHog, FullStory, Hotjar, LogRocket (manual review-heavy).
Heap, Amplitude (feature flagging/analytics, not automated issue detection).
Sentry, Datadog RUM (error monitoring, not behavioral).
Sprig (AI-powered UX research), Maze (user testing).
Automated session replay analysis generates a behavioral dataset that FullStory and Hotjar users cannot produce without manual review. Selling this anonymized behavioral data to frontier labs for browser agent training creates a second revenue stream. Prior exit to Canva demonstrates the founder's ability to build and sell AI products.
Using continual reinforcement learning from user sessions, behavioral data curation from 30+ YC products, and reward modeling for prioritizing critical issues.
Makes massive file transfers 10x faster so teams stop deleting data they can't afford to move.
Robotics teams delete 96% of their sensor data because they cannot move it fast enough. Byteport's DART protocol achieves 1500x faster transfer than TCP for large files, which turns a data bottleneck into a data asset for any team that generates more than it can ship.
Delivers 95%+ accurate knowledge search across unstructured enterprise data, beating standard RAG.
RAG accuracy plateaus around 80% for most implementations. Captain claims 95%+ by running parallel LLM queries across document chunks and aggregating results, which is a brute-force approach that works if the orchestration is fast enough. SOC 2 certified.
Automates enterprise document workflows with 93% straight-through processing from just 3-5 samples.
Most document AI requires hundreds of labeled examples. EigenPal reaches 93% straight-through automation from 3-5 samples, which means regulated enterprises (banks, insurers) can deploy on new document types in hours instead of months.
Captures 8,000 hours/day of multimodal human activity data to train the next generation of robots.
Robotics foundation models are data-starved. Human Archive has 50,000+ contributors wearing custom sensor rigs across homes, restaurants, hotels, and construction sites, capturing 8,000 hours/day of synchronized video, depth, and tactile data. Scale AI for embodied AI.