WisdomAI, a startup focused on unlocking insights from business data using AI, has secured an impressive $50 million in Series A funding led by Kleiner Perkins and Nvidia’s venture capital arm, NVentures. This injection comes hot on the heels of a $23 million seed round just six months ago, spearheaded by Coatue.
WisdomAI tackles a common challenge faced by businesses: extracting meaningful information from vast and often messy datasets. Traditional data analytics tools struggle with unstructured data – think emails, documents, or even customer feedback – and require complex coding to process it. WisdomAI aims to simplify this by allowing users to ask questions in plain English, regardless of the data’s format.
Imagine asking, “How many customers are stuck in my sales pipeline, and what’s blocking their conversion this quarter?” With WisdomAI, a business user could pose this question directly, and the platform would sift through structured databases, emails, support tickets, and more to deliver an answer, all without writing a single line of code.
But how does WisdomAI avoid the pitfalls of Large Language Models (LLMs), notorious for “hallucinating” – generating plausible-sounding but factually incorrect responses? The startup employs a clever workaround: LLMs are solely responsible for crafting the initial query that retrieves data from a company’s existing data warehouse.
Instead of directly constructing answers, which is where LLMs often falter, WisdomAI relies on its own proprietary “enterprise context layer.” This specialized technology delves deep into the customer data to understand its nuances and deliver accurate insights. The co-founders, all veterans from data security firm Rubrik (where CEO Soham Mazumdar previously served), bring extensive experience with enterprise storage warehouses to this endeavor.
Since launching in late 2024, WisdomAI has rapidly expanded its customer base from two to roughly 40 enterprises, including notable names like Descope, ConocoPhillips, Cisco, and Patreon. The company is also witnessing substantial growth within existing accounts, with some doubling their usage within just two months.
Taking user engagement a step further, WisdomAI recently introduced an “agentic” feature. Think of it as a personalized data watchdog. This capability allows users to set up alerts for specific events or changes in the data they monitor. Mazumdar illustrates this with his own experience: he built an agent in five minutes to track product usage metrics and helpdesk tickets, receiving instant notifications only when “something interesting” occurs – rather than wading through routine daily reports.
This proactive approach is transforming analytics from a static reporting function into a dynamic, actionable tool. By bringing the power of AI to enterprise data without requiring specialized technical skills, WisdomAI is poised to disrupt how businesses make decisions based on real-time insights.
