Telmai

Telmai is an AI-driven data observability platform built for open architecture that enables enterprises to monitor and detect data quality issues before data enters warehouses and AI models. The platform leverages machine learning to monitor data passing through data pipelines, protecting downstream systems and analytics used for decision-making. Using a high-scale Spark architecture, Telmai's real-time system supports anomaly detection closest to data sources and works with complex data types, including nested and multi-valued attributes. The platform can identify record value level data quality issues across structured, semi-structured, and streaming sources through a low-code, no-code interface that automatically identifies issues and predicts future outcomes. In September 2023, Telmai released new features including time travel analysis, multi-attribute rules, metadata monitoring, cross-system data lineage, and data binning capabilities. The platform can be deployed as a fully-hosted software or through private cloud deployment in customers' Google Cloud, AWS, or Azure environments. Telmai became available on the Google Cloud Marketplace in August 2023, allowing organizations faster procurement and deployment options.

Key customers and partnerships

Telmai serves several major enterprise customers including DataStax, Clearbit, and Merkle. Clearbit utilized Telmai to manage data quality and freshness across 50 million company records, 389 million contact records, and 4.5 billion IP addresses from over 250 sources. The company established strategic partnerships with Google Cloud to bring ML-driven anomaly detection and data quality monitoring to BigQuery. Additional partnerships were formed with Snowflake to empower trusted data applications and with Databricks to ensure continuous reliability of data lake houses. The platform achieved industry recognition in the G2 Data Quality Grid report with 5-star customer ratings.