Snapp, a San Francisco-based sports AI startup, has raised $4.6 million in seed funding to expand its sports intelligence platform and develop new AI-powered analytics tools.

The funding round includes investment from a16z Speedrun, Dorm Room Fund, Gold House Ventures, House Fund, Valia Ventures, Bling Capital, Bridge Ventures, Great Oaks, Operator Stack and Entrepreneur VC. Individual investors include Jason Wang, Andy Zhang, Prakash Janakiraman, Jeff Wang and Danny Conway.

The company plans to use the funding to expand its enterprise platform and consumer applications, improve its real-time sports reasoning engine and strengthen the infrastructure that supports its data pipelines.

Founded by CEO Shawn Tsao, COO and CFO Min Park, CTO Andrew Tamura and Chief AI Officer Alex Marshall, Snapp develops AI tools that help professional sports teams and consumers analyse sports data.

Its platform uses more than 30 live data pipelines and billions of data points to deliver real-time sports intelligence. For professional sports organisations, it provides automated telemetry analysis and scouting reports to support player evaluation and team decisions.

Snapp also offers consumer applications that connect with platforms such as ESPN, Yahoo Sports, Sleeper, Kalshi and Polymarket. These integrations provide features including roster optimisation, predictive modelling and market pricing intelligence.

The company says its technology is already being used by professional sports teams and more than 20,000 active app users.

The timing of the funding comes as AI adoption in professional sports analytics continues to grow. At the same time, prediction markets are expanding, with sports emerging as a major trading category. This creates opportunities for tools that can process live sports data and provide insights for teams, fans and market participants.