Telmai
Automated data observability and quality for Data Lake
Y CombinatorSummer 2021ActiveB2BAnalyticsAIML
What they do
Problem
Organizations struggle to detect and prevent data quality and reliability issues across data lakes and warehouses at scale without relying on sampling.
Solution
Telmai provides an automated data observability and data quality platform that monitors raw data in any data system across open architectures.
Who it's for
Data engineering and analytics teams at organizations running data lakes and/or data warehouses.
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
Open roles 2
Company timeline
- Founded2020
- YC batchSummer 2021
- StatusActive
- Team size12 people
- LocationSan Francisco, CA, USA; Foster City, CA, USA; Remote
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