Key Points
- WisdomAI raised $50 million in a Series A round led by Kleiner Perkins with Nvidia’s venture arm participating.
- The platform uses LLMs only to generate database queries, reducing the risk of hallucinated answers.
- An “enterprise context layer” analyzes customer data to improve query relevance.
- Customer base grew to roughly 40 enterprises, including Descope, ConocoPhillips, Cisco and Patreon.
- Usage has expanded dramatically within accounts, with some customers increasing seats from 10 to 450.
- A new agentic feature provides real‑time alerts on important data changes, replacing static reporting.
- Founders are former Rubrik executives, bringing deep enterprise storage expertise to the startup.
Funding Milestone and Investor Backing
WisdomAI announced the close of a $50 million Series A round, with Kleiner Perkins serving as the lead investor. Nvidia’s venture capital arm also participated, signaling strong confidence from both traditional venture capital and a major player in the AI hardware ecosystem. The financing follows a previous seed round of $23 million that was led by Coatue, underscoring the company’s rapid capital accumulation within a relatively short period.
Founding Team and Vision
The startup was founded by Rubrik co‑founder Soham Mazumdar and three former Rubrik colleagues, bringing deep expertise in enterprise storage and data security to the new venture. Their vision centers on simplifying data analytics for business users, allowing them to pose natural‑language questions without needing specialized technical skills.
Technology Approach
WisdomAI’s platform differentiates itself by employing large language models (LLMs) solely to craft database queries rather than to generate the final answers. This design choice addresses the common hallucination problem associated with LLMs; if a model generates an inaccurate query, the system simply returns no data rather than a fabricated response. The company also integrates an “enterprise context layer” that studies each customer’s data to understand its structure and nuances, further improving query relevance and accuracy.
Customer Adoption and Growth
Since formally launching, WisdomAI has expanded from two enterprise customers to roughly 40, according to the CEO. Notable customers include Descope, ConocoPhillips, Cisco, and Patreon. Usage patterns show rapid expansion within accounts; some customers have doubled their usage within two months, and one client grew from ten seats to 450 seats, indicating broad internal adoption.
New Agentic Feature
In the past six months, WisdomAI introduced an agentic capability that continuously monitors data streams and alerts users in real time when significant changes occur. The feature can watch product usage metrics, ticket information, and other key indicators, delivering proactive notifications instead of static, periodic reports. The CEO highlighted how quickly an agent can be created—taking only a few minutes—demonstrating the platform’s flexibility and responsiveness.
Market Implications
The substantial Series A funding and the involvement of both Kleiner Perkins and Nvidia position WisdomAI to compete aggressively in the enterprise AI analytics market. By tackling the LLM hallucination issue and offering real‑time, agent‑driven insights, the company aims to differentiate itself from traditional BI tools and emerging AI analytics competitors.
Source: techcrunch.com