WisdomAI, an analytics company founded by former Rubrik executive Soham Mazumdar, announced a $50 million Series A round led by Kleiner Perkins, with participation from Nvidia’s NVentures.

The financing comes roughly six months after WisdomAI’s $23 million seed round, bringing the company into a new stage of growth.

The startup lets business users ask questions like “How many customers are in my pipeline and what is preventing them from closing this quarter?” and get answers pulled from structured, unstructured and even error-filled (“dirty”) data.

By restricting large-language models (LLMs) to generating queries rather than answers, the company says it avoids hallucinations that plague other AI analytics tools.

Since its public launch in late 2024, WisdomAI reports growth from two enterprise customers to about 40, including names like Cisco, ConocoPhillips and Patreon. One customer reportedly expanded from 10 seats to 450 in just a few months.

Distinguishing Strategy In A Crowded Market

What sets WisdomAI apart is its “enterprise context layer,” a proprietary logic system that learns customer-specific data definitions, joins, synonyms and idiosyncrasies before the LLM-driven query executes.

This enables the system to issue database queries rooted in accurate schema knowledge rather than rely solely on model output.

In contrast with tools that use LLMs for end-to-end answers, WisdomAI places human business logic and data governance front and centre, an area often under-resourced in enterprise analytics.

With Kleiner and Nvidia backing it, the startup is positioning itself in the high-stakes intersection of AI, data infrastructure and enterprise workflows.

Enterprise AI & Analytics

As organisations accelerate their AI initiatives, many face a familiar logjam: plenty of raw data, but insufficient tools to turn it into reliable insight. WisdomAI’s approach addresses that pain point by offering a natural-language front-end on top of complex data stores with guardrails on accuracy and lineage.

The funding signals investor confidence that enterprise analytics is moving toward AI-powered tools with governance baked in rather than purely experimental models. For Nvidia, this round aligns with its broader trend of backing startups that extend AI infrastructure into application layers.

The Road Ahead

Key questions for WisdomAI now include how quickly it scales its enterprise sales engine, how well it maintains accuracy and governance as usage grows, and how it competes against major cloud and BI players that are embedding conversational AI features into their platforms.

With $50 million in new capital, WisdomAI is well-funded for the next phase. But the stakes are high: being able to serve data-rich enterprises reliably could carve out a strong niche. Failing to execute could see the company overtaken by larger players with deeper resources.

In short, WisdomAI’s Series A raise is a strong signal that enterprise data analytic, long dominated by dashboards and ETL tools, is entering a new AI-driven phase. Whether it becomes a trusted platform or just another tool will depend on execution, trust and scale.