AI data startup WisdomAI has raised another $50 million, led by Kleiner, Nvidia

WisdomAIthe new AI data analytics startup from Rubrik co-founder Soham Mazumdar, has secured a new $50 million Series A led by Kleiner Perkins with participation from new investor NVentures (Nvidia’s venture capital arm).

This round comes approximately six months after startup Announce $23 million seed round led by Quato.

WisdomAI offers AI-based data analytics that can answer business questions from structured, unstructured and even “dirty” data, meaning data that has not been cleaned of typos or errors. A business user simply asks natural language questions, such as, “How many customers do I have and what’s keeping them from closing this quarter?”

But the company uses a clever method to eliminate the hallucination problem in LLM. WisdomAI does not use LLMs to write answers to questions. Instead, LLMs are used only to write the query—the part that will be sent to the data warehouse to retrieve the data. So, if the MBA had a hallucination, he would simply write an ineffective query rather than inventing wrong answers.

WisdomAI has written its own logic that it calls the “enterprise context layer,” which studies customer data to understand it. All of the startup’s founders worked with Mazumdar at data security company Rubrik, giving them deep experience in enterprise warehouses. (Mazumdar left Rubric in 2023.)

Since its official launch in late 2024, WisdomAI has grown from two enterprise clients to about 40 enterprise clients, says CEO Mazumdar. WisdomAI counts companies like Descope, ConocoPhillips, Cisco, and Patreon as clients.

The startup is also working to increase usage among its enterprise customers, Mazumdar said. Some customers have doubled usage within two months. Another client started with 10 seats and expanded to 450, which equates to nearly everyone in the company, he said.

In the past six months, WisdomAI has also added a proxy feature that will alert users in real time to important changes in situations they are monitoring.

“I created an agent that monitors our product usage metrics and our ticket information,” Mazumdar says, adding that creating this agent took about five minutes. But instead of sending a daily or even hourly report on usage and help desk tickets, it alerts him “when something interesting happens,” he says.

“I think that’s the magic of analytics. It’s always been a static report, but we’ve made it dynamic. We’re making it proactive,” he said.