Co-founder & CEO
Profile summary: MS in Computational Data Science at Harvard University
Zenlytic
Zenlytic provides a business intelligence platform that combines natural language processing with a semantic data layer, allowing users to interact with data through conversational queries. It eliminates the need for legacy BI tools by enabling teams to explore, analyze, and visualize data in seconds, reducing reliance on data teams and improving decision-making speed and accuracy.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 7 months ago
Funding
Raised to date
$14.4MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Many business intelligence (BI) tools require specialized knowledge and extensive training, leading to low user adoption and continued reliance on data teams for basic data exploration and analysis. This creates bottlenecks and delays in accessing critical business insights. Traditional BI platforms often lack the flexibility to allow non-technical users to directly interact with data using natural language.
Solution
Zenlytic offers an agentic business intelligence platform that combines a semantic data layer with a natural language interface, enabling users to explore, analyze, and visualize data through conversational queries. The platform features an AI data agent, Zoë, which allows users to ask questions and receive insights in seconds, reducing the need for data team intervention. Zenlytic's cognitive layer simplifies data modeling and ensures consistent calculation of key metrics, promoting self-service analytics for both technical and non-technical users. By providing an intuitive and accessible interface, Zenlytic increases user engagement and accelerates data-driven decision-making.
Target Audience
Zenlytic targets data-driven organizations, including marketing, sales, and finance teams, that seek to empower their employees with self-service data exploration and analysis capabilities, as well as data teams looking to streamline their workflows and improve data accessibility.
Features
- Natural language query interface powered by the Zoë AI data agent
- Semantic data layer for consistent and accurate metric calculation
- Data modeling dashboard for defining and managing key metrics
- Automated data pipeline organization and upgrade capabilities
- Support for various data warehouses including Snowflake, BigQuery, Postgres, and Redshift
- Python client library and SQL interface with MQL tag for accessing metrics and dimensions
- Integration with Slack for easy access to insights