WisdomAI has launched its Federated Agentic Intelligence Platform, introducing the first Model Context Protocol client designed specifically for analytics. The San Mateo-based company's platform enables organisations to deploy AI agents that execute complex workflows across distributed systems without requiring data movement or costly ETL pipelines. The platform addresses what CEO Soham Mazumdar calls the "last mile" problem in enterprise data, where human analysts manually reconcile metrics across spreadsheets, SaaS applications and data warehouses. By combining an analytics-native MCP client with a deterministic execution layer, WisdomAI allows AI agents to reason across live enterprise systems and automate decisions in real time. The company positions itself as the leader in Agentic Analytics, moving beyond passive data monitoring to autonomous enterprise execution.

WisdomAI has launched its Federated Agentic Intelligence Platform, combining the first Model Context Protocol analytics client with a deterministic execution layer to automate enterprise decisions across fragmented data systems without data movement. The San Mateo-based startup, founded in 2023, addresses the bottleneck of manual data reconciliation by enabling AI agents to reason across distributed systems in real time. The platform features autonomous agentic workflows operating on structured dataframes, an Adaptive Context Engine that codifies business knowledge, and zero-ETL cross-source federation connecting directly to live SaaS applications and databases. Backed by Kleiner Perkins, Coatue, NVentures, Latitude Capital and Madrona, WisdomAI is already deployed at enterprises including Cisco, Coatue and ConocoPhillips. The platform is now available commercially.

WisdomAI raises $50M Series A from Kleiner Perkins, Nvidia. * AI data startup WisdomAI has raised $50 million in a Series A round led by Kleiner Perkins, with participation from Nvidia's NVentures. * The company, founded by a Rubrik co-founder, uses AI to let business users ask natural-language questions of "dirty" or unstructured data. Discover more communications Science Web browser Communication Online movie streaming services AI Google’s Gemini Gemini browsing Browser * WisdomAI avoids LLM hallucinations by using AI to write data queries, not the final answers. Discover more Google Chrome browsing Web browser Chrome AI Artificial intelligence browsers Gemini communication communications * The new funding will be used to scale its product, which has already grown to 40 enterprise customers, including Cisco, ConocoPhillips, and Patreon. WisdomAI, an artificial intelligence data startup, has secured $50 million in a Series A funding round. The round was led by Kleiner Perkins with significant participation from NVentures, Nvidia's venture capital arm. This new funding comes just six months after the startup emerged from stealth with a $23 million seed round led by Coatue. WisdomAI was founded by Soham Mazumdar, a co-founder of the data security giant Rubrik. The company offers an AI-driven data analytics platform that allows business users to ask questions in natural language. Its key differentiator is the ability to query structured, unstructured, and even "dirty" data - information that hasn't been cleaned of typos or errors. The company employs a novel method to prevent the "hallucinations" that plague many large language models (LLMs). Instead of using an LLM to write the answer to a question, WisdomAI uses it to write the query that retrieves data from a warehouse. This way, a hallucinating LLM simply produces an ineffective query rather than inventing a false answer for the user.