Kater.ai | Turn Data Into Decisions

At its core, Kater.ai addresses common data challenges. It solves the problem of knowing what is happening but not how to interpret the data for action. It also resolves the issue of stakeholders not knowing what questions to ask based on business objectives and the lack of robust processes for building a unified semantic layer. Furthermore, it tackles the challenge of not tracking or measuring decisions made as a result of data analysis.

The platform's "Data Playbooks" allow users to architect their business’s data question playbook. Instead of static reports, these playbooks guide users through insights, highlighting what truly matters and suggesting subsequent actions. This eliminates guesswork and provides a clear path forward.

Kater.ai's "Butler AI" aims to reduce back-and-forth with data teams by providing self-serve answers to up to 80% of follow-up questions. This is achieved by capturing business logic within Playbooks, mirroring how an analyst would explain it and removing ambiguity. The use of a shared semantic layer ensures that all answers are trustworthy and consistent, as everyone works from the same definitions and logic, preventing debates over data accuracy.

Business Question Mapping is designed to be as intuitive as a flowchart. Users navigate Playbooks structured like business conversations, without requiring deep data knowledge. This approach mirrors natural problem-solving methods. Security is a top priority, with Kater.ai built for enterprise scale and privacy-conscious operations, boasting SOC 2 Compliance and ISO 27001 Certification. Data is encrypted in-transit and at-rest, credentials are stored securely, and columns can be labeled as PII for enhanced privacy compliance. Users can opt to use their own OpenAI API key or Kater's for flexibility.

The platform features an orchestrated group of AI agents that learn from past Playbooks and questions, delivering relevant, context-aware answers. These agents include a Persona Evaluator, Semantic Retrieval, Continuous Ranking System, and Single AI Agent, each performing a specific workflow component. This proactive approach allows for continuous updates based on data conditions, enabling real-time response to emerging trends and reducing decision-making delays.

Kater.ai is designed for both data professionals and data inquisitors. Data teams can generate meaningful reports highlighting next steps and outliers, while stakeholders can quickly gain actionable insights with confidence. The platform integrates with major data warehouses like Snowflake, BigQuery, Databricks, Redshift, and MS-SQL, with custom connectors available. Setup is designed to be rapid, often within 15 minutes, with onboarding and concierge services provided. Kater.ai does not store user data in its application database or use it for LLM training; all data is stored locally in the browser's cache. AI is used to assist data members in writing SQL within Playbooks, maintaining human oversight, and not for generating SQL for non-technical users, ensuring accuracy.