Human Behavior Raises $5 Million to Apply Vision AI to Session Replay Analytics

Founders and Early Success

Amogh Chaturvedi, a 20‑year‑old Stanford dropout, leads Human Behavior as CEO alongside co‑founders Skyler Ji, the chief technology officer, and Chirag Kawediya, the chief operating officer, both 22. The trio previously, they built and sold a startup called Dough, an e‑commerce accounting tool, for six figures to Employer.com. Their experience with Dough highlighted a market need: companies could see which products sold but struggled to understand why users behaved as they did.

From Y Combinator to a $5 Million Seed Round

After a stint in Y Combinator’s spring batch, the founders pivoted to Human Behavior, a venture that focuses on applying computer‑vision models to product analytics. In a two‑day fundraising sprint, they secured $5 million in seed funding from General Catalyst, Paul Graham, Vercel Ventures and Y Combinator. The rapid close reflects growing investor confidence in vision‑AI‑driven analytics.

Vision AI Meets Session Replay

Human Behavior’s core technology watches real user session replays and uses vision AI to parse them at scale. This approach eliminates the need for developers to instrument every button and click, a process that traditionally consumes hours or weeks of engineering time. By automatically summarizing and segmenting thousands of hours of footage, the platform can answer product‑team questions about conversion, churn and feature adoption without manual tagging.

Product Offering and Early Adoption

The startup’s current product delivers daily summary emails to its customers—primarily fast‑moving Series A and B startups. These emails highlight which features were used, which bugs appeared and which users churned, giving teams actionable insight without deep technical effort. The founders describe session replays as an “untapped goldmine” and envision the data powering future capabilities such as automated quality assurance and embedded IT support.

Strategic Positioning and Future Ambitions

Human Behavior positions itself as a challenger to established analytics platforms like Mixpanel and PostHog, claiming that vision AI can provide richer behavioral context than clickstream data alone. The company’s long‑term goal is to become the “Datadog of session replay,” spinning out dozens of products from the same core data set. By building the technology from the ground up, the founders believe they can outpace incumbents whose architectures cannot easily support such a shift.

Current Status

At four months old, Human Behavior has already attracted a roster of early adopters and secured a sizable seed round. The founders plan to continue expanding the platform’s capabilities, leveraging the scalability of modern video‑analysis models to deepen insights for product teams across the startup ecosystem.