
FeatureByte helps teams build and deploy predictive AI models in hours by automating the end-to-end data science workflow. The platform uses AI and GenAI-powered agents (Data Science, Domain, Data, and MLOps Agents) to automate data preparation, feature engineering, model training, deployment, and monitoring. It is offered as a SaaS platform with optional services and targets developers, data analysts, and data scientists, integrating with existing tech stacks and MLOps tools. FeatureByte is positioned to accelerate enterprise PredAI adoption by enabling faster, more repeatable model delivery and operationalization at scale.

FeatureByte helps teams build and deploy predictive AI models in hours by automating the end-to-end data science workflow. The platform uses AI and GenAI-powered agents (Data Science, Domain, Data, and MLOps Agents) to automate data preparation, feature engineering, model training, deployment, and monitoring. It is offered as a SaaS platform with optional services and targets developers, data analysts, and data scientists, integrating with existing tech stacks and MLOps tools. FeatureByte is positioned to accelerate enterprise PredAI adoption by enabling faster, more repeatable model delivery and operationalization at scale.
What they do: SaaS platform to automate discovery, engineering, evaluation, governance, and deployment of ML features and models
Founded: 2022
Headcount (reported): 19 employees
Funding: Seed round reported (Jul 28, 2022)
Target users: Developers, data analysts, data scientists, and ML/analytics teams
Automating feature engineering and end-to-end ML feature/model lifecycle for enterprise data platforms
2022
Data and Analytics
Reported Seed round with three investors including Pieter De Leenheer
“Glasswing Ventures and Tola Capital participated as lead investors; individual investor Pieter De Leenheer participated”