Preloop
ActiveTranslate your experimental scripts into production ML services
About
Only 2 out of 10 ML models make it from experiment to production. Preloop helps automate the process of deployment, helping companies realize more value from their machine learning teams, while focusing teams' attention on science instead of engineering.
Founders · 1
AmazonTejas 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.
Launch
Preloop automatically translates your experimental scripts into production ML workflows
Preloop translates ML training scripts into production services by creating training pipelines and REST endpoints, automating deployment and scaling for models. It targets science teams to reduce deployment time from weeks to hours and provides a CLI and dashboard with on-prem options.
From the original launch (Feb 2024) — may be outdated.
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