The Telmai team really understands the data quality challenges very well. As a Sr VP of Data engineering for me it was critical to ensure the quality of the data my team was managing had a high degree of confidence with the stakeholders. However I needed a more automated and ML based approach towards ensuring so we optimize the team productivity and also control the infrastructure and engineering spend on these initiatives low. Telmai was super easy to on-board and get started. We specifically liked that the Telmai easily integrated with our heterogeneous data ecosystem and provided deep insights in days. The visual and interactive UX made it easy to identify and resolve blind spots in data for both technical and non-technical users. Collaboration on tools was easy and I got better visibility into our data health. We specifically liked that the tool easily integrated with our heterogeneous data ecosystem and provided insights. Overall we were able to greatly accelerate our data quality journey using Telmai.

The team! I got a preview of their product when they were in their initial stages and I recently again had a chance to view their product to test it out with big data and was amazed to see the rate at which the product had matured and the immense amount of features built in such a short time by a team of people that understand the problems of the data industry and have a deep know-how of the solution. The features I specifically would like call out are the ease of integration, and the overall user experience. Good luck and I look forward to working with Telmai in the future!

When there are unexpected drifts, Telmai will automatically learn from the data and let you know. The no-code, low-code, and visual interface that gave us the proper insights into our data over time impressed us. Moreover, it supports the integration of real-time APIs with large and complex data sets automatically.