Automated Data Quality & Observability For Microsoft Fabric
Discover how Telmai ensures data reliability across your Microsoft Fabric ecosystem by continuously validating data as it lands in OneLake and delivering real-time trust signals that give both humans and AI agents trusted, explainable context at the point of consumption
Native data observability for Microsoft Fabric
Telmai runs as a native Microsoft Fabric workload, continuously monitoring OneLake data products across Delta Lake and Apache Iceberg formats. By validating schema, freshness, volume, and completeness directly at the lake layer, Telmai detects anomalies and provides suggestive steps, ensuring your data powering Agentic AI remains reliable and autonomous at scale.
Democratize access to trusted data across Fabric
Telmai’s AI-powered Data Reliability Agents provide generates real-time reliability signals that travel with your data products. Through natural language interfaces, both technical and business users can query data quality incidents, understand the root causes, and implement AI-driven monitors. This reduces dependence on engineering teams and accelerates time-to-resolution across your Fabric ecosystem.
Agent-Ready Data for Autonomous AI Workflows
Telmai produces data trust signals that human and AI systems can consume in real time. These signals are pushed to OneLake Catalog and Microsoft Purview, enabling unified governance and observability across Fabric. As a result, AI agents can safely operate on data products that carry their reliability context across all your fabric environments.
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