The startup offers a low-code platform that enables organizations to create, govern, and deploy AI-powered data products while maintaining a secure and centralized source of truth for their data. By integrating data virtualization and AI agents, the platform enhances decision-making processes and reduces operational costs associated with enterprise-grade analytics.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to create and deploy AI-powered data products due to data silos, lack of centralized governance, and the complexity of integrating various data sources. This leads to inefficient decision-making processes and increased operational costs associated with enterprise-grade analytics.
Solution
The platform provides a low-code environment for organizations to virtualize their data landscape, build governed data assets, and deploy AI agents. It unifies data from various sources, centralizes governance, and enables observability, allowing users to create trusted data products. The platform enhances decision-making by combining trusted data and derived data products with AI agents, all within a unified environment. Users maintain ownership of their data, ensuring a single, secure source of truth without vendor lock-in.
Target Audience
The platform targets organizations seeking to streamline their data analytics processes, enhance decision-making with AI, and maintain control over their data in a secure, governed environment.
Features
- Data virtualization plane for seamless integration of data sources across cloud, on-premise, SaaS, and data lakes
- Unified cluster and catalog governance layer for centralized discovery and fine-grained security
- Semantic and knowledge plane to apply business rules and expertise to transform data into assets
- Data and knowledge marketplace for subscribing to datasets, AI co-workers, and native applications
- Design and deployment of AI agents for expert advice and task support
- Hyper-scalable compute infrastructure for petabyte-scale analytics and AI processing
- Support for multi-cloud environments, including Snowflake, Databricks, Azure, GCP, and AWS