Kater
About Kater
Kater is a data workflow builder that utilizes a unified semantic data model and SQL to automate the generation of personalized reports and actionable insights. It enables users to ask specific data questions in plain English, facilitating informed decision-making by providing clear interpretations of business metrics.
```xml <problem> Many organizations struggle to translate raw data into actionable insights due to a lack of unified data models and the complexity of querying data effectively. Stakeholders often don't know which questions to ask or how to interpret data to drive decision-making, leading to inefficient data exploration and underutilization of available information. Existing analytics processes often fail to track the impact of data-driven decisions, hindering continuous improvement. </problem> <solution> Kater provides a data storytelling platform that automates the process of answering data questions, defining next steps, and generating personalized reports with actionable insights. It utilizes a unified semantic data model, built automatically as users interact with the system, to enable querying data using plain English. The platform's AI-powered AgentMesh orchestrates multiple AI agents to perform composite analysis, evaluate results, and provide accurate data interpretations. Kater bridges the gap between data and decision-making by allowing users to pre-define questions and next steps based on data outcomes, and then receive automated report summaries. </solution> <features> - Data Playbooks: Pre-define questions and next steps based on data outcomes for automated report generation. - Butler AI: Ask follow-up questions about personalized reports in plain English. - Unified Semantic Data Model: Automatically builds a shared data model as users answer questions, ensuring reusability and governance. - Confidence Ranks: Provides transparency by showing data sources, tests run, and a confidence ranking for each response. - AgentMesh: Orchestrated group of AI agents that work together to create a composite analysis. - Integrations: Connects with Snowflake, BigQuery, Databricks, Redshift, and MS-SQL. - Security: SOC 2 Type 2 compliant, with encrypted data in-transit and at-rest, and secure credential storage. </features> <target_audience> Kater is designed for data professionals and business users who need to easily access, understand, and act on data insights, as well as data teams looking to build a unified data model and empower business users with self-service analytics. </target_audience> <revenue_model> Kater offers free trials, with annual contracts determined by the size and complexity of the customer's data and company. </revenue_model> ```
What does Kater do?
Kater is a data workflow builder that utilizes a unified semantic data model and SQL to automate the generation of personalized reports and actionable insights. It enables users to ask specific data questions in plain English, facilitating informed decision-making by providing clear interpretations of business metrics.
Where is Kater located?
Kater is based in San Francisco, United States.
When was Kater founded?
Kater was founded in 2023.
How much funding has Kater raised?
Kater has raised 500000.
Who founded Kater?
Kater was founded by Yvonne Chou.
- Yvonne Chou - CEO
- Location
- San Francisco, United States
- Founded
- 2023
- Funding
- 500000
- Employees
- 6 employees
- Major Investors
- Y Combinator