Telmai Data Reliability Workload for Microsoft Fabric Now Generally Available
Available to every Microsoft Fabric customer, Telmai's workload gives Fabric data agents and human teams a shared,
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SAN FRANCISCO, Sept. 29, 2026 (GLOBE NEWSWIRE) — Telmai, an AI-powered data observability platform, today announced the general availability of its data reliability workload on Microsoft Fabric, designed to help organizations automate data observability and quality across the Fabric ecosystem.
Enterprises are moving toward a world where data estates consolidate into a single lakehouse and humans and AI agents work side by side on the same data. Compute is decoupling from storage, and operational and analytical data are converging on open formats like Apache Iceberg and Delta Lake. In this world, agents are only as powerful as the data beneath them.
Without reliable business-critical data, no agent can be trusted to act, making data reliability non-negotiable. Traditional, rules-based data quality tools were not built for a federated data ecosystem. They sit outside the platform, and each new pipeline brings its own definition of quality data, leaving teams struggling to keep up with dynamic data environments and the growing need for real-time trust signals across analytics and AI systems.
Telmai’s data reliability workload on Microsoft Fabric closes this gap by making it easy to detect quality degradation and improve trust in your data. By interrogating the datasets cataloged in the OneLake Catalog, Telmai automatically identifies and prioritizes business-critical assets across all workspaces. It then deploys AI agent-monitors that track volume, schema, freshness, and completeness for Delta Lake and Apache Iceberg tables. By monitoring only the data that matters, Telmai’s workload reduces compute costs and alert noise, without complex configuration, rules, or infrastructure to manage.
“The cost of bad data used to be one wrong dashboard. Now it’s an agent taking a thousand wrong actions before a human looks. Closing that window from days to seconds is the entire job,” said Mona Rakibe, Co-founder and CEO of Telmai. “Quality checks that sit outside the platform are always one step behind the data. Running natively in Fabric means we can answer ‘is this data safe to use?’ at the moment an agent asks, instead of after the damage shows up downstream.”
Context-Driven Observability Across the Fabric Ecosystem
Fabric’s agentic layer is built on the premise that agents should have the same context that makes human employees effective. Knowledge of the business, understanding of the current state, and clarity on what is reliable before taking action. Telmai provides the data-reliability half of that equation through context-driven observability, integrating with Fabric and OneLake to support federated data ownership and enable responsible data activation across the ecosystem.
Telmai exposes trust signals in real time via its MCP server, enabling any Fabric data agent or external AI client to query data health, freshness, and incident state before taking action on a dataset. When data reliability is degraded, the agent holds. When data reliability is acceptable, the agent proceeds. The reliability layer and the intelligence layer work together.
By surfacing reliability signals where the data already lives, Telmai keeps critical data-quality context accessible to every team and workflow that depends on it, without adding infrastructure or operational overhead. Trust signals also flow into existing workflows, including Jira and Microsoft Teams, ensuring teams receive structured, actionable context without switching tools.
As a result, enterprises can accelerate time-to-value while expanding trust in data across analytics, governance, and AI workflows within Microsoft Fabric.
“Every decision made in Fabric, whether by an analyst or an agent, is only as good as the data and context behind it,” said Dipti Borkar, Vice President, Microsoft IQ & Microsoft OneLake at Microsoft. “Now generally available, Telmai’s workload automatically monitors business-critical tables in OneLake and exposes real-time trust signals that agents and analysts can act on, directly within the platform they already use.”
About Telmai
Telmai helps enterprises ensure their data is AI-ready across modern data lakes and AI pipelines. It continuously validates every dataset as it lands in Iceberg or Delta Lakehouses, enriching it with quality context so humans and AI agents can act on trusted data. Trusted by data teams at leading financial and insurance organizations, Telmai is available on the Microsoft Marketplace and continues to strengthen its alliances with major cloud providers and technology leaders across the modern data ecosystem.
For more information, please visit Telmai
Contact:
Anoop Gopalam
Product Marketing & Growth @ Telmai
anoop.gopalam@telm.ai
