What is Unsupervised?

Unsupervised is an agent-native analytics platform built for coding agents, data teams, and enterprises that need faster answers from large datasets without forcing analysts to handcraft every query. It collapses the slow loop of guessing a cut, running SQL, reading the output, and repeating by letting an agent search data directly, rank promising patterns, and carry evidence into a report. The product is positioned around finding drivers, anomalies, and interactions in warehouse-scale data, and its site highlights enterprise value claims including AT&T and a broad customer impact signal of more than $1B in value identified with Unsupervised analytics technology.

Unsupervised started as an automated analytics product focused on explaining why KPIs moved, then evolved into a broader platform for agentic analytics and consistency infrastructure. The company now presents Finder as the core pattern engine, alongside DeepWork, a CLI for local agent workflows, and an enterprise Cloud platform for governed team use. That evolution shows a shift from traditional automated insight generation toward infrastructure that helps AI agents reason over data more systematically and reliably.