Telmai, a leader in data quality and observability for data lakehouses, announced on July 22, 2025, its increasing adoption among enterprises building modern lakehouse architectures using open table formats like Apache Iceberg and Delta Lake. Trusted by organizations such as PropertyGuru Group and a leading fintech company, Telmai’s AI-powered platform ensures reliable data pipelines, enabling proactive governance and supporting AI-driven workflows.
Telmai addresses the critical challenge of ensuring data quality in distributed lakehouse architectures built on open table formats like Apache Iceberg and Delta Lake. Its AI-powered platform provides real-time profiling, anomaly detection, and automated remediation, transforming reactive data governance into proactive management. As Mona Rakibe, co-founder and CEO of Telmai, states, “As organizations adopt modern data platforms and open table formats for their AI projects, the need for real-time, high-quality data becomes mission-critical.”
PropertyGuru Group, Southeast Asia’s leading PropTech company, adopted Telmai to strengthen data reliability across its multi-cloud environment, including Google Cloud Platform and AWS-based systems like Athena and RDS. Previously, manual data quality checks slowed resolution times and undermined confidence. Telmai’s automated observability detects anomalies proactively, ensuring compliance and accuracy. Marek Tuchalski, Director of Engineering for Data at PropertyGuru Group, notes, “Telmai has become a critical partner in helping us stay ahead of those challenges. Its ability to proactively detect anomalies and alert us before problems escalate gives our team the confidence that we’re delivering reliable data consistently and at scale.”
A leading fintech company selected Telmai to enhance data reliability across internal and third-party data sources, prioritizing scalable observability for AI-driven automation. Telmai’s real-time, AI-augmented platform, compatible with Apache Iceberg and Delta Lake, enabled rapid dataset onboarding and proactive issue detection. The Director of Product Management stated, “As we invest in AI-driven automation, trust in our data foundation becomes critical. Telmai aligns with that vision by bringing intelligent data quality and observability right where our pipelines begin,” highlighting reduced manual effort and increased agility.
Telmai’s platform supports over 250 data sources, including Apache Kafka, and integrates natively with modern data stacks. Its open architecture eliminates the need for custom scripts or manual monitoring, providing real-time data health insights and automated remediation. This scalability ensures enterprises can maintain data trust across complex, multi-cloud environments while supporting business-critical applications and machine learning workflows.
Telmai’s growing enterprise adoption underscores its role as a vital data observability platform for modern lakehouse architectures. By delivering AI-powered, real-time data quality solutions, Telmai empowers organizations to build trust in their data, streamline operations, and drive innovation in AI-driven environments.
Telmai is a data observability platform that enables enterprise data owners to monitor and detect real-time data issues. The platform leverages AI to monitor all data passing through the data pipeline before reaching business, protecting downstream systems and analytics used for decision-making. Built for open architectures, Telmai offers seamless, no-code integrations with over 250 sources and native support for Iceberg and other open formats.
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