Ensure data across Microsoft Fabric and Onelake is trusted and autonomous-ready
Discover how Telmai continuously validates every dataset as it lands in OneLake and attaches data quality signals, providing real-time visibility and trusted context for both humans and AI agents
Native Data Observability for Microsoft Onelake
Telmai natively integrates with OneLake to continuously validate all data at the lake layer, including structured, semi-structured, and unstructured data. With support for open table formats like Apache Iceberg and Delta Lake, Telmai proactively detects data anomalies, drift, and quality issues, ensuring your data powering Agentic AI remains reliable and autonomous at scale.
Democratize Access To Trusted Data Across Your Enterprise
Telmai’s AI-powered Data Reliability Agents provide low-latency access to reliable, contextual data. Through natural language interfaces, both technical and business users can query data quality incidents, understand the root causes, and implement tailored validation rules. This reduces dependence on engineering teams and accelerates time to resolution across your OneLake ecosystem.
Agent-Ready Data for Autonomous AI Workflows
Built on a scalable Spark engine, Telmai’s petabyte-scale platform continuously streams data reliability signals to humans and AI agents, enabling end-to-end observability and governance within Microsoft Fabric Ecosystem
Telmai is an Microsoft Partner
We have shared customers and have undergone technical evaluation with Microsoft to ensure our integration is designed for optimal performance, architecture, and scalability
Become a partner
Request a demo to see the full power of Telmai’s data observability tool for yourself