WisdomAI, the new AI data analytics startup from Rubrik co-founder Soham Mazumdar, has raised $50 million in new Series A funding led by Kleiner Perkins with participation from new investor NVentures (NVIDIA’s venture capital arm).
The round comes about six months after the startup announced a $23 million seed round led by Coatue.
WisdomAI provides AI-driven data analytics that can answer business questions from structured data, unstructured data, and even “dirty” data that has not been cleaned of typos and errors. Business users can simply ask questions in natural language, such as, “How many customers do you have in your pipeline? What’s stopping you from closing deals this quarter?”
But the company is using clever methods to eliminate the LLM hallucination problem. WisdomAI does not use LLM to create answers to questions. Instead, LLM is only used to create queries, the parts that are sent to the data warehouse to retrieve data. Therefore, if the LLM hallucinates, it will simply create an ineffective query, rather than inventing a false answer.
WisdomAI has created a proprietary logic called the “Enterprise Context Layer” to explore and understand customer data. All of the startup’s co-founders have deep experience with enterprise storage warehouses, having worked with Mazumdar at data security company Rubrik. (Mr. Mazumdar left Rubrik in 2023.)
Since officially launching in late 2024, WisdomAI has grown from two enterprise customers to approximately 40 enterprise customers, CEO Mazumdar said. WisdomAI counts companies like Descope, ConocoPhillips, Cisco, and Patreon among its customers.
Mazumdar said the young company is also expanding its use within corporate customers. Some customers have seen their usage double within two months. Another customer started with 10 seats and expanded to 450 seats, which is nearly everyone in the company, he said.
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In the past six months, WisdomAI has also added agent capabilities that alert users in real-time to important changes in the conditions they are monitoring.
“We created an agent that monitors product usage and ticket information,” Mazumdar said, adding that it took about five minutes to create. But rather than sending daily or even hourly reports on usage and helpdesk tickets, it alerts you “when something interesting happens,” he explains.
“I think that’s the magic of analytics. It used to be static reporting, but we’re making it dynamic. We’re making it proactive,” he said.
