Telmai
AI-based Data Observability for Open Architecture
Telmai is a data observability platform that continuously validates structured, semi-structured, and unstructured data as it arrives in data lakes and lakehouses. It generates data quality metadata, detects anomalies, and provides AI-powered agents that explain issues and suggest resolutions in plain language.
The platform includes agents for orchestration, validation, incident diagnosis, lineage mapping, data insight, help, and routing. It supports natural language interfaces for setting up monitors and querying data quality issues, and AI agents can query validated data and its context via MCP. Telmai offers 250+ connectors across data formats, cloud storage, warehouses, databases, streaming sources, catalogs, CRM/ERP, BI, notifications, and single sign-on, with basic connectors included and advanced connectors available as optional extras. It handles flat and semi-structured schemas, supports scheduled runs and change data capture, and provides security features including SOC 2 accreditation, encryption in transit and at rest, GDPR compliance, SSO, and multi-factor authentication.
Telmai is built for enterprise data teams and both technical and business users working across legacy on-premise systems, cloud storage, and event streaming. It is available as a SaaS-based platform; contact the vendor for a demo to learn about packaging and plans.
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