Autolake is a data and AI platform that helps organizations build and operate a governed lakehouse within their own AWS account. Its autonomous platform manages the data lifecycle, from ingestion and transformation to curation, lineage, and distribution, then provides AI tools grounded in those governed datasets. The company positions its service as a way to make enterprise data more current, organized, and trustworthy for analytics and AI.

Autolake offers more than 250 connectors for databases, APIs, business applications, files, and streaming sources, with incremental, snapshot, and full-load options. Its features include data quality checks, schema evolution, PII detection, masking, role-based access controls, audit logging, cost monitoring, and self-healing pipelines. Users can distribute curated data to REST APIs, BI tools, and AI/ML platforms, or ask questions through AI chat. Autoflow lets teams build agent-driven workflows on a visual canvas, using lake events, schedules, and connected apps as triggers, with configurable approvals and audit trails.