Agentic Data Intelligence provides AI-driven agents that automatically design, deploy, and monitor data pipelines, generating ETL/ELT code and analytical models from diverse sources. The platform continuously adapts to schema changes and performance issues, delivering ready-to-use dashboards and natural‑language query interfaces while integrating with major cloud warehouses and BI tools.
Funding
$12M 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.
1OFounders
Product
Problem
Enterprises often spend extensive time and resources manually building, maintaining, and troubleshooting data pipelines and analytics workflows, leading to delayed insights and high operational costs.
Solution
Agentic Data Intelligence offers AI-driven agents that autonomously design, deploy, and monitor data engineering pipelines. By leveraging generative AI, the platform can ingest disparate data sources, generate transformation code, and create analytical models without extensive human intervention. The agents continuously adapt to schema changes and performance issues, ensuring data flows remain reliable and up‑to‑date. Users receive ready‑to‑use dashboards and query interfaces that surface actionable insights directly from the automated pipelines. The solution integrates with existing data warehouses, cloud storage, and BI tools, allowing organizations to accelerate time‑to‑value while reducing the need for specialized data engineering staff.
Target Audience
Primary customers are mid‑size to large enterprises that operate complex data ecosystems, including data engineering teams, business intelligence groups, and product analytics units seeking to automate pipeline development and insight delivery.
Features
- Generative‑AI agents that automatically generate ETL/ELT scripts for a wide range of source and target systems
- Self‑healing pipelines that detect schema drift, performance bottlenecks, and automatically apply corrective actions
- Integrated analytics layer that produces pre‑built dashboards, KPI visualizations, and natural‑language query capabilities
- Seamless connectors to major cloud data warehouses (Snowflake, BigQuery, Redshift) and storage services (S3, Azure Blob)
- API and SDK support for embedding AI agents into existing data platforms and CI/CD workflows
- Role‑based access control and audit logging to meet enterprise governance and compliance requirements