WisdomAI, based in San Francisco, launched its new product "Proactive Agents" on September 3, 2025, by building always-on autonomous AI data analysts to upgrade enterprise intelligent operations.
This product not only inherits the concept of WisdomAI's Agentic Data Insights platform but also leverages its "Knowledge Fabric" technology to achieve deep understanding and automated analysis of enterprise data . Unlike traditional methods that rely on manual monitoring by analysts or threshold alerts, these AI agents can autonomously monitor key metrics, detect anomalies, and provide detailed cause analysis and recommendations in natural language .
"Data analysts have long been the gatekeepers of insights, but they are difficult to scale and impossible to hire indefinitely," said Soham Mazumdar, co-founder and CEO of WisdomAI. "Proactive Agents are your AI colleagues, capable of expanding the capabilities of the data team, increasing organizational productivity, and allowing everyone to enjoy advanced analytics services" 。
The core of this system is the "Knowledge Fabric," which organically connects various data sources with enterprise contextual information, enabling AI to understand the internal structure of the organization, rather than just the information covered by general language models . Moreover, the system does not directly generate analytical conclusions, but instead generates SQL queries or Python scripts to extract actual data from enterprise systems, avoiding the issue of AI "hallucinations" .
On the user side, configuring the system is straightforward: teams can set up initial agent behavior in minutes using natural language descriptions. After a recommended testing phase, the agents can be deployed for actual operations.
In addition, WisdomAI completed a $23 million seed funding round led by Coatue Ventures in May 2025, providing solid capital support for product development and promotion .
Key Points:
🤖 AI Analysts Work Around the Clock: Proactive Agents can monitor business metrics 24/7, identify anomalies autonomously, and perform advanced root cause analysis without human intervention.
🧵 Knowledge Fabric Builds Contextual Understanding: By connecting multiple data sources and enterprise business context, the system can understand the internal logic of the organization and generate targeted query scripts, preventing AI hallucinations.
⏱ Fast Deployment, Enhancing Team Efficiency: Users can quickly set up Agents using natural language descriptions, and they can go live in a short time; its goal is to enhance the capabilities of the data team without expanding the workforce.
