TelmaiData quality profiling and monitoring

Telmai - AI-based Data Observability for Open Architecture

Accelerate your AI with trusted data

Key Features

• Open Architecture: No-code connection to Data lake and lakehouse, supporting raw formats like Iceberg, Hudi, and Delta.
• Data Quality: Validate every value before ingesting into AI models, automate and orchestrate DQ workflows within AI workloads.
• Anomaly Detection: ML-driven anomaly detection on column values and business metrics without sampling.
• Data Layer Consistency: Improve quality across bronze, silver, and gold layers with embedded design patterns.
• Data Health Analysis: No-code analysis and reporting on data health metrics for your data lake and lakehouse.
• Incident Management: Alerting, ticketing, investigation, and remediation workflows.

Use Cases

• Incident Management: Efficiently manage data incidents with alerting, ticketing, and remediation workflows.
• Data Quality Assurance: Ensure high data quality by validating every value and automating DQ workflows.
• Anomaly Detection: Detect anomalies in data without sampling, using machine learning.
• Data Health Monitoring: Conduct comprehensive health analysis and reporting on your data lake and lakehouse.
• Data Layer Consistency: Maintain consistency across different data layers to prevent bad data from propagating.

Pricing

Telmai offers a cost-effective solution for comprehensive data quality within your data lake and lakehouse. Contact us for detailed pricing information and to get a free data health analysis.

Teams

Telmai is designed for data teams looking to enhance their AI workloads with trusted data. Our platform supports seamless integration with existing data lakes and lakehouses, ensuring data reliability and quality at every stage.