The Pulse
Snapp raises $4.6 million for sports AI platform
Snapp announced a $4.6 million funding round, and its sports AI products serve more than 20,000 users. Its platform draws on more than 30 live sports data feeds, while the release says it outperformed frontier models on its sports-analysis
AI.info Team · Written with AI · fact-checked ·
Funding and platform
Snapp announced a $4.6 million funding round and will build a sports AI platform for professional teams and fans. The round includes investments from a16z Speedrun, Dorm Room Fund, Gold House Ventures, House Fund and Valia Ventures, among others.
Its consumer apps have more than 20,000 users, alongside an enterprise platform for professional sports teams. The system connects to more than 30 live sports data pipelines and draws on billions of data points.
The release describes the platform as a way to analyze live game information and historical benchmarks for teams and fans. The tools are intended to serve professional organizations as well as consumers looking for sports information and fantasy advice.
Tools for teams and fans
For professional organizations, the system can analyze telemetry and produce scouting material for front offices and analysts. The consumer tools can connect with ESPN, Yahoo Sports and Sleeper to assess fantasy rosters, schedules and waiver-wire trends.
Analysts can build, backtest and automate predictive models using the live data pipelines. Users can follow models that the release describes as verified, with win rates and returns on investment records made transparent.
The platform can also schedule game plans, line-movement updates, injury alerts and waiver summaries for delivery by email or SMS, according to the release. The system covers more than 100 sports leagues and is available through apps on iOS and Android.
The system connects to more than 30 sportsbooks and prediction markets, including Kalshi and Polymarket. The release says those connections can help identify mispriced lines, arbitrage opportunities and consensus pricing.
Reported comparisons
The release claims its sports analysis was 44% better than that of Claude Opus 5 and GPT-5.6 Sol. It also reports 2.8 times better data analysis than frontier models and says the system can provide accurate answers up to 3.2 times faster.
The release says the system ranked first across the NFL, NBA, MLB and nine other leagues in its sports-question comparisons. It says the platform outperformed major frontier models from OpenAI, Anthropic, Google and xAI.
Founders and backing
Shawn Tsao, Snapp’s cofounder, said the product uses live sports data to help users make decisions about fantasy lineups and bets. “Our AI does the research and connects the dots, using live sports data to help you make smarter calls on your fantasy lineup and bets,” he said.
Tsao is the chief executive and previously co-founded Caviar, which was acquired by Square and subsequently DoorDash. Min Park is the chief operating officer and chief financial officer, and Andrew Tamura and Alex Marshall are the technology chief and chief AI officer.
The release says the funding round also included Caviar founders Jason Wang and Andy Zhang, Nextdoor founder and chief technology officer Prakash Janakiraman, and Windsurf / Cognition CEO Jeff Wang. It lists Bling Capital, Danny Conway, Bridge Ventures, Great Oaks, Operator Stack, Entrepreneur VC and 20 other funds and angel investors among the participants.
The mobile app brings sports analytics, fantasy league management and prediction-market information together. The service integrates with ESPN, Yahoo, Sleeper, Kalshi and Polymarket.