WisdomAI Launches Federated Agentic Intelligence Platform to Automate Enterprise Decision Making

WisdomAI, a leader in agentic analytics, announced the launch of its Federated Agentic Intelligence Platform on March 6, 2026. This new technology shifts enterprise AI from passive data monitoring to autonomous execution across distributed systems. By integrating the first Model Context Protocol (MCP) client designed specifically for analytics, the platform allows organizations to deploy agents that reason in real time without moving data.

The platform addresses the "last mile" problem of data analytics where human intervention is typically required to bridge the gap between a chart and an action. WisdomAI eliminates the need for costly data movement or ETL pipelines by querying data directly where it resides. This approach prevents the common warehouse wait that slows down traditional data stacks and significantly speeds up the time to insight.

Key features include an Adaptive Context Engine and a deterministic execution layer. These tools ensure that AI agents operate on structured dataframes and follow predefined company playbooks instead of generating unpredictable text. By codifying tribal knowledge and business definitions, the system maintains high data integrity and auditability across various SaaS applications and cloud warehouses.

Based in San Mateo, California, WisdomAI is led by CEO Soham Mazumdar, a co-founder of Rubrik. The company is backed by prominent investors including Kleiner Perkins, Coatue, and NVIDIA's venture arm, NVentures. It has already secured traction with major clients who are looking to accelerate their decision-making processes through automated workflows. The Federated Agentic Intelligence Platform is currently available for enterprise deployment. Interested organizations can find more details and schedule demonstrations through the official WisdomAI website. This launch follows a successful funding history, including a significant 50 million dollar Series A round closed in late 2025.