Kubit provides a no-code analytics platform that activates customer journey insights directly from existing data warehouses, eliminating the need for ETL processes. This solution enables teams to access real-time, event-level visibility into user behavior, facilitating faster, data-driven decision-making without data duplication.
Funding
$24.6M raised to dateRaised 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.
GVFounders
Product
Problem
Traditional product analytics tools often require complex ETL processes to ingest data, leading to delays in accessing insights and increased engineering overhead. This complexity can limit data transparency and control, hindering data-driven decision-making across teams.
Solution
Kubit provides a no-code, AI-powered customer journey analytics platform that directly leverages existing data warehouses, eliminating the need for ETL processes or data duplication. By providing self-service access to real-time, event-level data, Kubit enables product, marketing, and data teams to gain comprehensive visibility into user behavior and product performance. The platform's AI capabilities, including natural language cohort generation and AI-driven insight summaries, accelerate decision-making and empower users to optimize customer experiences and product adoption. Kubit's architecture ensures data transparency and control by allowing users to view the SQL behind every report and maintain their data warehouse as the single source of truth.
Target Audience
Kubit's primary customers are data professionals, product managers, and marketing teams in media & entertainment, travel & hospitality, eCommerce, consumer apps, and B2B companies who need to understand user behavior and optimize product performance.
Features
- No-code interface for creating customer journey analytics and product insights
- Direct integration with cloud data warehouses, eliminating ETL processes
- AI-powered insights, including natural language cohort generation and automated summaries
- Real-time, event-level visibility into user behavior
- Self-service analytics for data, product, and marketing teams
- Customizable dashboards and reporting with shareable links
- SQL visibility for data transparency and control
- Scalable pricing model based on data needs