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1. You explain your problem. 2. Kater identifies the most important data questions to ask. 3. Kater writes the code. 4. You get insights in seconds rather than weeks. Kater.ai flips the script on enterprise analytics by making every user an expert analyst. It uses a continuous classification engine to turn a single business question into a contextualized package of questions that is specific to your needs. Kater puts the power of data into the hands of business experts while ensuring they use trusted data that is specific to their persona. No more waiting for data analysts. No more wasted time on analysis misfires and rework. Yvonne was a data engineer and analyst who built the entire data stack at CREXi. Robin led engineering in Microsoft. Data is the new oil. Companies are data-rich, insight-poor. We're helping companies become insight-rich. This is the future of data.

Snowpilot combines a spreadsheet UI with a federated data engine. We get live data from tools like Salesforce, Gong, and Mixpanel, enabling PMs, marketers, and salespeople to run high-impact workflows with data at any scale. Ben and Dom met at a Sequoia & a16z-backed data startup, Census. Together, we built the first real-time, warehouse-native customer data platform. Prior to that, Dom led 20+ ML engineers at Adobe to build their internal ad optimization platform, which allocates $1B in annual spend. Ben built the microservices stack powering the new Microsoft Edge, scaling from 0 to hundreds of millions of DAUs. We started coding Snowpilot in mid-August '24, and we already have a live app that can run sub-second queries on millions of rows, entirely in the user's browser. The data warehouse market is $10B/yr, growing 23% YOY. We will disrupt incumbents and significantly expand this market by enabling non-engineers to use big data on a daily basis.