Kater.ai is a data workflow builder that enables organizations to combine a unified data model with SQL, dynamically generate personalized reports, and guide teams through decision-making processes. The platform leverages decision trees to capture and codify company expertise, helping define questions to ask, hypotheses to test, and actions to take based on real-time data insights. Kater.ai empowers teams to interpret complex data scenarios—such as understanding why revenue is down—and determine the most effective next steps.
How Does Kater.ai Work?
Kater.ai's core product centers on creating ever-growing decision trees linked to a unified data model. This approach allows users to:
- Define critical business questions and hypotheses.
- Automate report generation using SQL.
- Capture and share tribal knowledge across teams.
- Guide operational decisions based on up-to-date data insights.
With the launch of Kater Catalog, Kater.ai now provides an organic method to capture and document institutional knowledge about company data, further streamlining collaboration and data-driven decision-making.
Who Uses Kater.ai?
Kater.ai is built for business teams, data professionals, and decision-makers seeking to operationalize their data and institutional expertise. While specific customer names are not publicly listed, the platform is particularly suited for organizations that depend on quick, reliable data interpretation and action—such as SaaS companies, data-driven enterprises, and growth-focused teams.
What Makes Kater.ai Different?
Kater.ai stands out by blending unified data modeling with decision-tree logic, enabling companies to move beyond static dashboards to actionable, guided workflows. Its ability to capture tribal knowledge and integrate it directly with data workflows supports scalable, repeatable decision-making across organizations.
Leadership Team
Kater.ai was co-founded by:
- Yvonne Chou – CEO, former Data Engineer at CREXi, with a decade of experience in building data infrastructure and solving large-scale data challenges.
- Robin Seitz – CTO, previously led engineering at Microsoft, with expertise in big data, distributed systems, and database innovation.
The team also includes Ramce Concepcion (Software Engineer), Tony Leong (Chief of Staff), and several advisors from high-profile companies such as Great Expectations Labs, Microsoft Azure Databricks, Ford, and Securiti AI. Their backgrounds in data engineering, product development, and market strategy directly shape Kater.ai’s approach to data workflows and decision support.
Recent Updates
Kater.ai recently launched the Kater Catalog, designed to help organizations organically capture and share tribal knowledge about their data. More details are available on Kater.ai's About page.
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