Telmai delivers AI-driven data observability built on an open architecture, so teams can monitor data quality wherever their data lives rather than being locked into a single warehouse or vendor. The platform uses machine learning to profile data and detect anomalies, schema drift, and quality issues across pipelines, data warehouses, and data lakes, alerting teams before bad data propagates into analytics, applications, and AI models. Its no-code, scalable approach is designed to work on both streaming and batch data at high volume, helping data engineers and analysts maintain trust in their data foundations. Telmai raised an oversubscribed $5.5M seed round co-led by Glasswing Ventures and .406 Ventures, with participation from existing investors including Zetta Venture Partners, to expand its AI-driven, open-architecture observability platform.