A low-code no-code approach to data quality
When dealing with data sets comprising million of records, Telm.ai quickly becomes an incredibly useful tool, saving a lot of time and ultimately increasing data quality.
Data anomaly investigations that used to take hours now take minutes and gives us more time to focus on the business needs.
I liked its simplicity, ease of integration and powerful insights to detect anomalies. It makes the life of the developers so easy without the need to build various rules for detecting anomalies and reduces lot of time and effort.
SaaS for flexibility, affordability, ease of integration, and efficient support.
High standards of encryption, identity management, role-based access control, data governance, and compliance standards.
Advanced ML models for detecting row-value data anomalies.
Models will evolve and adapt to users business and data needs.
Add any number of data sources, records, and attributes. Well equipped for unpredictable volume spikes.
Support batch and streaming processing.
Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance.
Seamless boarding, integration and investigation experience.