.jpg)
Anomalo introduces Self-Driving Data, an autonomous agentic platform with nine intelligent agents that monitor, analyze, and act on enterprise data without human prompting. Eliminate manual data work in SaaS and IT environments.
Anomalo has introduced Self-Driving Data, a groundbreaking autonomous system that enables data to monitor, analyze, and explain itself before anyone has to ask. This new agentic platform marks a major shift from manual data management to fully autonomous operations in enterprise environments.
For years, data teams have spent most of their time manually crafting queries, refreshing dashboards, and reacting to data issues. Anomalo’s Self-Driving Data System eliminates this repetitive manual work by replacing it with a continuously running, self-improving autonomous platform.
Anomalo first built its reputation with the deepest automated data quality platform in the enterprise. Using AI and machine learning, it profiles organizational data and learns what “normal” looks like without requiring users to define rules manually. This foundation proved the system could understand data deeply enough to now take on broader operational responsibilities.
Anomalo’s new autonomous data management platform consists of nine intelligent agents working together across the data lifecycle. These agents continuously monitor pipelines, investigate changes, surface insights, resolve issues, and maintain documentation.
The nine agents are:
Unlike traditional tools that require users to know what to ask, Anomalo’s system inverts the model by proactively delivering answers and actions without prompting.
“We’ve spent years building the deepest automated data quality platform in the enterprise,” said Elliot Shmukler, cofounder and CEO of Anomalo. “What we’re announcing today is the natural next step. Self-driving cars didn’t happen because one piece of technology improved, they happened when everything came together. With the power of modern Agentic AI, that same convergence has now happened for enterprise data. For the first time, your data can monitor itself, understand itself, and initiate appropriate actions. With Anomalo, you set the direction and priorities and modern AI plus your data do the work.”
AIDA serves as the central intelligence layer, continuously learning from every agent’s observations and human interactions to make the entire system smarter over time.
As organizations deploy AI agents in production, the quality and reliability of underlying data has become critical. Self-Driving Data addresses this need by ensuring data remains trustworthy and actionable in real time, removing humans from routine data loops.
Anomalo’s platform helps enterprises turn data from a potential risk into a true competitive advantage in SaaS, IT, and technology-driven operations.
Anomalo is the autonomous data system for the agentic enterprise. Its self-driving data platform continuously and autonomously monitors, investigates, and surfaces what matters across an organization's data all before anyone thinks to ask. Powered by a proprietary profiling and prediction engine and a suite of nine autonomous agents, Anomalo handles the operational layer of running a data organization so teams can focus on the work that actually requires human judgment. Industry leaders including Atlassian, Block, Casey’s, and Notion rely on Anomalo to ensure every downstream decision, AI model, and business application runs on data they can trust.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.