Zenlytic was founded to close the persistent adoption gap in business intelligence: traditional BI tools are built for data people, so most business employees never use them and instead funnel questions back to overloaded analytics teams. Zenlytic's approach is an AI data analyst named Zoë that lets anyone ask questions in plain English and receive trustworthy, governed answers grounded in the company's own warehouse data.
The platform connects to major cloud warehouses including Snowflake, BigQuery, Databricks, and Postgres, and goes beyond simple text-to-SQL. Zoë can produce written analyses, build Excel-style models, generate PowerPoint presentations, and create visualizations, effectively acting like a junior analyst that works directly off the warehouse. Crucially, Zenlytic foregrounds trust: every answer shows its query lineage and the business logic behind it in understandable terms, so users can verify how a number was derived rather than trusting an opaque AI output.
Governance is handled through a semantic layer managed in Git, where data teams define metrics, relationships, and business logic as code. This ensures that no matter how a business user phrases a question, the AI answers against centrally defined, version-controlled definitions, avoiding the inconsistent metrics that plague self-serve analytics. The result is self-service for business users without sacrificing the control data teams require.
Zenlytic raised a $9 million Series A in September 2024 led by M13, with participation from existing investors including 14 Peaks, Company Ventures, Primary Ventures, Bain Capital Ventures, and Correlation Ventures, along with strategic angels. The company serves enterprise clients including Verizon, Workday, and Stanley Black & Decker, and competes with both legacy BI tools and a wave of AI analytics startups by emphasizing verifiable, governed answers over raw chat-with-your-data convenience.