Telmai
Automated data observability and quality for Data Lake
Telmai is a Data observability and Data Quality platform designed for Open architecture. It monitors data stored/managed in any data system, such as a data lake or data warehouse, in its raw format at scale without sampling
Active Founders
Mona Rakibe, Founder
Started Telmai in November 2020 with a vision to improve data quality.
Prior to Telmai spend 5 years at a Data management start-up as director of product management.
Maxim Lukichev, Founder
Data Science and Engineering Leader with over 15 years of experience in various environments including startups and Fortune 500 companies
Selected answers from Telmai's original YC application for the S21 Batch
Describe what your company does in 50 characters or less.
Intelligent data observability platform
How long have each of you been working on this? How much of that has been full-time? Please explain.
The co-founders, Mona Rakibe (CEO) and Max Lukichev (CTO) have been working on Telm.ai full-time since November 2020. Both Mona and Max each bring 15+ years of experience in Data management and enterprise products.
What is your company going to make? Please describe your product and what it does or will do.
Telm.ai is a real-time data anomaly detection, and investigation platform that is built for data engineers and data architects to ensure high data quality pipelines. Our product (API), can monitor every data value ingested at the record level to detect and understand the problems in the data much before they get into your analytical and AI systems, hence reducing Mean Time To Detect (MTTD) and Mean Time to Resolve (MTTR) data issues.