WisdomAI Raises $23M to Turn Data into Instant Answers

WisdomAI burst out of stealth mode, announcing a $23 million seed round led by Coatue Ventures with contributions from Madrona, GTM Capital, The Anthology Fund, U First Capital, Latitude Capital, and over 30 angel investors. The San Francisco-based startup was founded by Soham Mazumdar and a team of data engineers, who are all former colleagues at Rubrik and bill themselves as delivering the first “Agentic Data Insights Platform” built on what it calls a “Knowledge Fabric.” In WisdomAI’s vision, this fabric is a dynamic, interconnected map of a company’s data and domain context continuously refined by human experts that serves as the foundation for AI reasoning. In short, instead of rigid dashboards or scheduled reports, WisdomAI uses intelligent software agents to actively surface business answers from the data.

This approach is meant to address a common frustration in large enterprises. Despite massive investments in data warehouses and analytics tools, many companies find that traditional dashboards “fall short” of true self-service, leaving users locked into pre-defined reports. As ex-Tableau CEO Mark Nelson puts it, business users are often “limited to the insights that have been pre-defined by the analyst who created the dashboard,” and any new question can stall a project for days or weeks. 

Inside the Knowledge Fabric

WisdomAI’s founders argue that the remedy is a layer of AI that truly understands the business’s own data language. The Knowledge Fabric they describe encodes terminology, key performance indicators, and data relationships so that answers can be generated on the fly. For example, the company explains that its fabric is not a static model but a “living reflection of how your business runs,” continuously shaped by analysts and domain experts. In practice this means a marketing or sales manager can simply ask a question in plain English—say, about quarterly forecasts or campaign performance—and the system will translate that into database queries across its data silos, returning a precise answer in seconds.

The platform achieves this with a set of specialised AI agents. A Knowledge Curation Agent first “masters” the organisation’s unique data world, quickly absorbing its schema, business context, and expert annotations so that the fabric truly reflects the enterprise’s vocabulary. Sitting atop that is an Instant Answers Agent, which takes user questions in natural language and routes them through the Knowledge Fabric to deliver an immediate, accurate response—no SQL or analyst intervention required. 

Finally, a Proactive Insights Agent continuously watches for trends or anomalies lurking in the data. Rather than waiting for someone to ask, this agent proactively flags emerging patterns (for example, an unexpected drop in regional sales or early warning signs of customer churn) and notifies users before those issues become problems. In effect, WisdomAI replaces passive dashboards with an active, conversational intelligence layer: answers come to the user, and new insights can even emerge autonomously.

Enterprise Brain

Under the hood, WisdomAI is designed to sit on top of a company’s existing data infrastructure. It connects with whatever systems and apps are already in place, from cloud data warehouses to document stores. The company says it supports both structured data (SQL databases, data lakes, cloud warehouses) and unstructured data (files, emails, logs, etc.) wherever it lives. In fact, TechCrunch notes that WisdomAI can pull directly from major data platforms such as Snowflake, Google BigQuery, Amazon Redshift, Databricks and PostgreSQL Importantly for enterprise customers, the founders emphasise privacy and compliance: they do not train or fine-tune their underlying LLMs on any customer’s proprietary data. 

Instead, generative AI is used only to formulate queries and scripts against the Knowledge Fabric. The effect is that even if the AI were to “hallucinate,” it would simply produce a failed query rather than fabricate an answer. This design, they argue, means customer data stays on-premises and under strict governance, while the LLM remains a tool rather than a container for business content.

Several early adopters have already put WisdomAI’s ideas to the test.

Funding the Future of BI

The startup’s announcement cites companies such as Cisco and ConocoPhillips, both Fortune 100 firms, as pilot users experiencing the platform today. In one oil-and-gas deployment, field operators used WisdomAI to answer production and operations questions by tapping into live data streams and stored documents. For example, thousands of engineers in the field can query why output is lagging, with the system pooling information from telemetry sensors, maintenance logs, and more to deliver an answer. In each case, the goal is the same: let frontline workers ask business questions and get back precise insights instantly, rather than waiting in a queue for analysts.

With the new funding in hand, WisdomAI plans to expand aggressively. The team says it will use the capital to “accelerate product development, expand its engineering and go-to-market teams, and scale its enterprise customer base across key industries.” Venture backers are bullish on the approach. Sri Viswanath of Coatue points out that real-time, AI-driven alerts can change the game for companies: catching budget shortfalls, supply-chain hiccups, or at-risk deals before they balloon into crises. In his words, WisdomAI “is introducing [enterprise] capability across… transforming reactive business intelligence into a proactive strategic advantage.” In short, instead of waiting for quarterly PowerPoint decks, executives could receive early warning signals automatically.

This emphasis on proactive, trustworthy insights is precisely WisdomAI’s north star. As CEO Soham Mazumdar puts it, business intelligence “shouldn’t be restricted to highly curated structured tables” or long waits for data teams; it should be fluid, intuitive, and accessible to anyone. The founders say they are “just getting started” building this future of BI. With strong investor support and names like Cisco and ConocoPhillips already on board, WisdomAI is positioning itself to redefine how companies interrogate their data. In the company’s narrative, no longer must enterprises settle for static reports instead; AI agents running on a knowledge fabric will deliver the answers directly, turning institutional data into action in real time.