Telmai

Telmai is an AI based data observability platform that monitors the quality and reliability of data across a pipeline. It validates structured, semi structured and unstructured data as it lands in a data lake or lakehouse, and produces data quality metadata that agents or data catalogs can read directly. AI agents can also query both the validated data and its quality context through MCP to decide whether data is fit for a given workflow. The platform is organized around a set of Data Reliability Agents. An orchestration agent handles configuration and integrations, a validation agent learns quality trends and suggests validation rules, an incident diagnosis agent analyzes anomalies for likely causes, a lineage agent maps data flows and downstream impact, and a data insight agent generates charts and summaries. Help and routing agents guide users through the product. Technical and business users can set up monitors and ask about data quality issues in plain English. Telmai is aimed at data engineering and data platform teams in enterprises that run open architectures across cloud storage, warehouses, streaming and legacy systems. Its published security documentation states that it runs in the customer's environment, does not retrieve or store customer data, is SOC 2 accredited and adheres to GDPR and CCPA, with SSO and multi factor authentication available. Pricing is not published. The site offers a product tour, a demo request, and a waitlist for the Data Reliability Agents.