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Deliver complete data analysis from a single question
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.
Kater.ai turns data into decisions by providing structured decision trees and a semantic layer to generate actionable insights. It emphasizes self-serve, enterprise-grade security, and seamless integration with popular data warehouses to guide stakeholders from data to next steps.
Kater.ai offers a data analysis platform that uses structured decision trees (Playbooks) and a shared semantic layer to guide users through insights and recommended next steps. It supports self-serve answers to most follow-up questions, uses an orchestrated group of AI agents for context-aware responses, and provides a self-hosted or managed LLM option. The platform integrates with Snowflake, BigQuery, Databricks, Redshift, and MS-SQL, with onboarding described as 15-minute setup plus white-glove services. Data privacy is ensured by not storing data in the app database and by only using AI to assist SQL writing for humans via YAML data models, with data processing happening locally in the browser and robust security certifications (SOC 2, ISO 27001).
Who it’s for: Data teams, data professionals, and business stakeholders seeking actionable insights and guided decision-making from data.
Onboarding services offered; supports trial and annual contracts; enterprise-grade security certifications; multiple data warehouse connectors.
Yvonne is the co-founder and CEO of Kater. She graduated from UC Berkeley. Previously, she was a data engineer at Crexi, where she built the data infrastructure from the ground up. She has 8+ years of experience working in analytics teams for companies like Kaiser Permanente, Tapcart, and Crexi, where she supplied data to all dashboards for sales, marketing, finance, and executive management.
Robin is the co-founder and CTO of Kater. He graduated Magna Cum Laude from UCLA. Previously, he worked at companies such as Microsoft, Abbott and Paragon as a Software Engineer. He has 8+ years of experience working in different software engineering disciplines, including distributed systems, full stack engineering and big data.
Drive business outcomes with an AI analyst that organizes, understands, and remembers all the nuances of your company's data.
Kater offers Butler, an AI data agent that connects to data warehouses (Snowflake, BigQuery, MSSQL), auto-generates a data map, and enables executives to query their data in English to understand why business outcomes occur and alert on recurring issues. The product targets companies with data teams seeking faster, explainable insights from underlying data.
From the original launch (Mar 2024) — may be outdated.
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