WisdomAI Secures $50M Series A to Revolutionize Enterprise Analytics with AI-Driven Data Insights

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

WisdomAI, the new AI data analytics startup from Rubrik co-founder Soham Mazumdar, has landed a fresh $50 million Series A led by Kleiner Perkins with participation from new investor NVentures (Nvidia's venture capital arm). This round comes roughly six months after the startup announced a seed round of $23 million led by Coatue. WisdomAI offers AI-driven data analytics that can answer business questions from structured, unstructured, and even "dirty" data, meaning data that hasn't been cleaned of typos or errors. A business user simply asks questions in natural language, such as, "How many customers do I have in my pipeline and what's preventing them from closing this quarter?" But the company is using a clever method to eliminate the LLM hallucination problem. WisdomAI is not using LLMs to write answers to questions. Instead, LLMs are only used to write the query -- the part that will go out to a data warehouse to retrieve data. So if the LLM hallucinates, it will simply write an ineffective query rather than inventing false answers. WisdomAI has written its own logic that it calls the "enterprise context layer," which studies the customer data to understand it. All of the startup's co-founders worked with Mazumdar at data security company Rubrik, giving them deep experience with enterprise storage warehouses. (Mazumdar left Rubrik in 2023.) Since formally launching in late 2024, WisdomAI has grown from two enterprise customers to around 40 enterprise customers, CEO Mazumdar says. WisdomAI counts such companies like Descope, ConocoPhillips, Cisco, and Patreon as customers. Mazumdar said the young company is also growing usage within its enterprise customers. Some customers have doubled usage within two months. Another customer started with 10 seats and expanded to 450, which is almost everyone in the company, he said. In the last six months, WisdomAI has also added an agentic feature that will alert users in real time to important changes in situations they are monitoring. "I have created an agent which is watching our product usage metrics, our ticket information," Mazumdar says, adding that it took him about five minutes to create it. But rather than sending him a daily or, even, hourly report on usage and helpdesk tickets, it alerts him "when something interesting happens," he describes. "I think that's the magic with analytics. It's always been a static report, but we are making it dynamic. We are making it proactive," he said.

AI analytics startup WisdomAI nabs $50M investment - SiliconANGLE

WisdomAI Inc., a startup using artificial intelligence to speed up analytics projects, today announced that it has closed a $50 million investment. The Series A round comes less than a year after the company's launch. It was led by Kleiner Perkins with participation from Nvidia Corp.'s NVentures startup fund, Coatue, Latitude Capital, Madrona, GTM Capital, Menlo Ventures and U First Capital. WisdomAI previously raised $25 million in seed funding. Creating a business intelligence dashboard from scratch can take several days. After finding the database that contains the information needed for the dashboard, analysts must extract the relevant records using SQL queries. In some cases, they also have to refine the extracted records by removing duplicate items or consolidating sales figures into a single average value. WisdomAI offers an analytics platform that automates manual data processing tasks using AI agents. Additionally, the company says its software expands the range of data sources that companies can use in their analytics projects. Some business intelligence tools only support relational information organized into rows and columns. WisdomAI can also ingest unstructured data such as PDF documents and knowledge base articles. "Agentic analytics finally fulfills the vision BI never could," WisdomAI co-founder and Chief Executive Officer Soham Mazumdar wrote in a blog post today. "A system that doesn't just show you what happened but tells you why, and what to do next. " WisdomAI's platform is powered by a data management engine dubbed the Enterprise Context Layer. According to the company, the engine can collect records from multiple systems and automatically prepare them for analysis. The platform determines how to process aggregated information using an organization's data dictionaries. Those are files that contain explanatory information about business records such as what department produced them. In addition to business records, WisdomAI can collect data management scripts from tools such as dbt. Such scripts are used to automate tasks such as filtering duplicate and inaccurate information. After WisdomAI ingests a dataset, it enables users to ask questions about the data through a chatbot interface. The platform can also equip external applications with the ability to answer analytics queries. An application programming interface enables developers to embed WisdomAI into their custom software. WisdomAI customizes the data it surfaces in response to queries based on each user's role. For example, a marketer might only be given access to information produced by the advertising team. WisdomAI says that its AI can apply data access restrictions with row-level granularity. After the platform generates a prompt response, it displays a step-by-step explanation of how it produced the answer. That overview allows users to verify the output's accuracy. According to WisdomAI, its platform avoids answering a prompt if it's not confident in the accuracy of the available data. Users can have WisdomAI visualize the information it retrieves in charts. An alerting tool generates notifications when it identifies notable patterns in data. It might, for example, alert the sales team when there's a sudden jump in e-commerce orders.