Data Observability Platform
Telm.ai is a monitoring tool built to help data engineers build robust and reliable data pipelines. Instrument, analyze, troubleshoot, and optimize any pipeline from one place.
SaaS model allows for flexibility, affordability, ease of integration, and efficient support.
We’ve built many facets of security natively into our data platform, including encryption, identity management, role-based access control, data governance, and compliance standards.
One click access to preconfigured ML models for detecting data anomalies. These models will constantly evolve and adapt to your business and data needs.
Secure cloud architecture allows for any number of sources, records, and attributes equipped for unpredictable volume spikes.
Supporting batch and streaming processing, data is constantly monitored to provide real-time notifications, with zero impact on ETL performance.
Ease of Use
Seamless integration via client libraries and REST APIs without adding to latencies in the pipeline, new domains can be enabled with minimal effort.
How it works
Connect. Be Notified.
Connect your data source (GCS/S3, BQ, Snowflake, RedShift) or streaming source (Kafka, Kinesis etc.) to Telm.ai via REST APIs or configure the location on the Telm.ai app to allow the ingest engine to start monitoring your data source automatically.
Real-time monitoring system processes the data to detect anomalies and instantly notifies through various configurable channels - Slack, PagerDuty, VictorOps, emails, APIs. Troubleshoot and gain insight via the intelligent Telm.ai Dashboard.
A self-learning model
The Telm.ai models require no
Our intelligent ML observability tool
observes, learns, refines, and notifies you as it
monitors and detects anomalies
Comprehensive Dashboard provides deep semantic level anomalies.
Request a demo
If you or your DataOps teams are currently struggling with data issues, reach out to us.
We are inviting early adopters, who can help us shape the vision and get early access to the product.