Preloop
Translate your experimental scripts into production ML services
What they do
Machine learning models often fail to move from experimental scripts to reliable production deployments, wasting ML team effort and business value.
Preloop automates translating and deploying experimental ML code into production-ready machine learning services.
Machine learning teams and developers at companies deploying ML models into production.
Founders
Tejas is the co-founder and CEO of Preloop, a product that automatically translates ML experimental scripts into production services. Before Preloop, he worked at Amazon where he scaled a data science team from 0-1, delivering 4 projects in the first year and leading the expansion of the team. He also worked as a senior MLE at EvolutionIQ, where he made significant improvements to a predictive model in his first month, helping them land a long term contract with Prudential.
Company timeline
- Founded2023
- YC batchWinter 2024
- StatusActive
- Team size2 people
- LocationSeattle, WA, USA
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