Y Combinator-backed startup Human Behavior is building artificial intelligence that watches customers through session replays, in order to help understand why they stay, convert, or leave. By analyzing session replays, it extracts behavior patterns that drive retention and revenue — without requiring manual event tracking. The company sells to product teams at high growth startups like Delve and Context.
According to Human Behavior, there are two ways through which people understand how a product is used. While product analytics such as Mixpanel or Amplitude are good at aggregating data, they miss user context, the company noted. The other option is the use of session replays, which capture everything, but there is no way to aggregate them to learn anything useful. Human Behavior combines the two with AI watching users.
“Human Behavior watches your session replays so you don’t have to. We tell you how people use your product, and how to get your users to do what you want them to do,” the company said.
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Human Behavior’s AI watches every session replay, identifying patterns and labeling key moments automatically. With its semantic search capabilities, users can search for specific user behaviors across thousands of sessions using natural language. It also has behavioral KPIs that transform qualitative user behavior into quantifiable metrics that drive product decisions.
Human Behavior can be used easily by downloading their SDK and connecting with a session replay tool. The AI model then watches session replays to identify and label key moments, with smart behavior labeling, pattern recognition, anomaly detection, and user intent understanding. Users can also search through sessions, filter by behavior, and measure key behavioral metrics.
Human Behavior was founded by Amogh Chaturvedi, Skyler Ji, and Chirag Kawediya. The trio previously worked on VLM research at the Stanford Natural Language Processing Group and the University of Chicago Database Group, commercializing their research to deliver advanced insights into customer behavior.