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Telmai Reviews

& Product Details

What is Telmai?

Telmai is an advanced platform that helps ensure data accuracy across entire data pipelines. It offers a suite of tools that includes data quality monitoring, anomaly detection, cross-system consistency, data health analysis, and incident management. By leveraging machine learning, its metrics and thresholds use historical data to detect issues, resulting in 70% faster detection and significant cost savings.

Some of the key features of Telmai include complete pipeline observability, secure monitoring without performance impact, low-code/no-code setup, and machine learning-driven self-evolving thresholds for targeted alerts. It is an ideal solution for businesses that need to monitor vast amounts of data efficiently. Clearbit, for example, uses Telmai to monitor millions of company and contact records.

Overall, Telmai is a comprehensive solution for businesses seeking advanced data observability tools. It helps ensure data accuracy, enabling businesses to make informed decisions based on trustworthy data.

Best For

AI-based Data Observability for Open Architecture.
  • StartUps
  • Freelancers
  • Small Business
  • Medium Business
  • Large Enterprise
  • Non-profit Organization
  • Personal
  • Cloud, SaaS, Web-Based
  • Mobile - Android
  • Mobile - iPhone
  • Mobile - iPad
  • Desktop - Mac
  • Desktop - Windows
  • Desktop - Linux
  • Desktop - Chromebook
  • On-Premise - Windows
  • On-Premise - Linux
  • Company Name


  • Located In

    United States

  • Website


Starting from:


Pricing Model: Subscription

  • Free Trial
  • Free Version

Pricing Details:

The pricing details for Telmai are not available on their website. It offers customized pricing plans based on the specific needs of businesses.

  • Ad hoc Analysis
  • Data Blending
  • Data Connectors
  • Data Discovery
  • Data Mapping
  • Machine Learning
  • Modeling & Simulation

Additional Features

  • Data Quality Assurance
  • Anomaly Detection
  • Cross-System Consistency
  • Data Health Analysis
  • Incident Management
  • Complete Pipeline Observability
  • ML-Powered Metrics
  • Thresholds for Issue Detection
  • No-Code/Low-Code Integration
  • Secure Data Monitoring
  • Real-Time Alerts
  • Historical Data Analysis


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