Backed by a16z Speedrun and other investors, the startup is developing a real-time sports intelligence platform for professional teams, analysts and consumers.
San Francisco-based artificial intelligence startup Snapp has raised $4.6 million in funding to expand its sports intelligence platform, which uses real-time data and AI-powered analysis to support professional sports teams, analysts and fans.
Announced on November 12, 2026, the funding includes investments from a16z Speedrun, Dorm Room Fund, Gold House Ventures, House Fund and Valia Ventures. The round also saw participation from several angel investors and venture capital firms.
Snapp operates an enterprise platform designed to support decision-making within professional sports organisations, alongside consumer applications that have attracted more than 20,000 users, according to the company.
The platform connects to more than 30 live sports data pipelines and processes information across over 100 global sports leagues. It combines live match statistics, historical performance data and other information to generate responses to sports-related queries.
The company said its technology is designed to address limitations in general-purpose AI assistants, particularly when responding to questions involving frequently changing match statistics, player availability and other time-sensitive information.
For professional teams, Snapp offers tools that can generate scouting reports, analyse player performance and support tactical assessments. Its enterprise capabilities include automated telemetry analysis and opponent scouting intelligence.
For consumers, the platform provides fantasy sports analysis, roster recommendations and information drawn from sports statistics and market data. It also integrates with fantasy platforms including ESPN, Yahoo Sports and Sleeper.
Snapp additionally connects with more than 30 sportsbooks and prediction markets, allowing users to examine market information and pricing trends.
The company offers predictive modelling tools that enable analysts to develop, test and automate their own models using live sports data.
It also supports automated briefings, including scheduled updates on matches, injuries and player information, delivered through email or text messages.
According to Snapp's internal evaluations, its platform delivered 44% better sports analysis than selected general-purpose AI models and performed 2.8 times better on complex sports data analysis tasks. These claims have not been independently verified.
Snapp was co-founded by Shawn Tsao, who serves as CEO, and Min Park, the company's Chief Operating Officer and Chief Financial Officer.
Tsao previously co-founded food delivery platform Caviar, while Park has experience in technology banking, investment and hospitality.
The leadership team also includes Andrew Tamura as Chief Technology Officer and Alex Marshall as Chief AI Officer.
Josh Lu, General Manager of a16z Speedrun, said real-time sports information requires specialised data infrastructure beyond the capabilities of AI systems primarily designed to answer static questions.
Snapp's mobile applications are currently available on iOS and Android.
The funding will support the company's development of specialised AI capabilities for sports analytics as it expands its offerings for professional organisations and individual users.
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