Kater

What is Kater?

Kater, also known as Butler, is a data agent built to address everyday challenges organizations face with data literacy, data access, and data processing. It helps teams sort through data messes, generate hypotheses, write the queries needed to test them, and surface key insights quickly.

Kater makes self-serve analytics practical: anyone on the team can ask questions in plain English and get answers from data. It also improves data quality through transparency, captures “tribal knowledge” about data that often gets lost, and optimizes data specifically for AI applications.

The result: teams can trust their data more, data teams spend less time fielding constant requests, and everyone can make better decisions based on reliable, understandable data.

Who created Kater?

Kater was founded by Yvonne Matsell. The company focuses on making data easier for organizations to access and understand, with its data agent Butler as the core offering. Butler’s role is to organize data, generate hypotheses, and provide insights quickly. Kater’s mission is to solve problems around data literacy and accessibility, and to build a shared understanding of data across a company so everyone can make better decisions.

Key Features

• Butler, a data agent: Untangles data chaos, brainstorms hypotheses, writes queries, and pulls out insights quickly.
• Self-serve analytics: Stakeholders can ask questions in plain English, making data analysis accessible without technical skills.
• Knowledge capture: Butler automatically labels, categorizes, and organizes your data, preserving team knowledge and making data better suited for AI applications.
• Data quality and transparency: Historical questions inform new queries, reducing the data team’s workload and building confidence in the data.
• Query Bank: Stores validated answers so they can be referenced later, leading to smarter and more accurate responses over time.

Getting Started

Booking a demo is the best way to see Kater in action and understand how it can benefit your organization. The goal is simple: make data easy to find, trustworthy, and understandable, so everyone in the company can make more informed decisions.