Telmai

Company Profile

www.telm.ai

AI-Driven Data Quality

Telmai’s Data Observability delivers a comprehensive solution for data quality by leveraging its ML-driven anomaly detection and automated DQ monitoring to swiftly identify data issues to investigate, remediate, and prevent them from downstream impact. Our product is designed for open architecture supporting 250+ data sources.

Products and Services

  • Problem: Enterprises are at the cusp of AI adoption but facing foundational challenges around maintaining data reliability with rapidly expanding data volumes primarily due to the inefficiencies of legacy tools and processes that lead to significant downstream impact on both business and IT-cost.

  • Solution: Telmai’s left shift-oriented Data Observability Platform can identify data quality issues at ingestion and scale data quality without compromising pipeline performance.
    Telmai ensures complete compatibility with your existing data infrastructure with 250+ data source integrations, including BigQuery, GCS, SQL databases, and Kafka, making data management and analysis effortless.

Top 3 Benefits

Telmai’s Data Observability Platform can:

  • Efficiently accelerate data movements using automatic profiling of sources and targets and monitoring data inconsistencies.
  • Ensures continuous, reliable data flow through your pipelines via embedded data quality workflows like circuit breakers and DQ binning.
  • Streamline data governance through robust user-defined data quality rules and machine learning-based algorithms, allowing users to measure quality via detailed health reports.