About FeatureByte

We’re on a mission to scale enterprise AI, by radically simplifying the entire AI data lifecycle. Our AI-based self-service feature platform empowers data scientists to discover and create state-of-the-art features from raw data, and deploy fully governed, production-ready pipelines – in minutes, instead of weeks or months.

Why focus on AI data?

Most enterprise AI tools are model-centric, helping to build better models from a given dataset. We address the biggest challenge for AI practitioners: Providing a consistent, scalable way to prep, serve and manage data across the entire lifecycle of a model.

The modern data and analytics stack is built primarily for BI workflows. It’s too time-consuming and frustrating for both data scientists and data engineers to navigate AI’s needs for rapid experimentation, time travel, complex computations, historical accuracy, among others. It's time for a new approach that inspires feature engineering creativity and accelerates the pace of AI innovation.
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Why focus on AI

Unlocking the power of auto feature ideation.

We believe Generative AI will change the way data science gets done. It will unleash data scientists’ creativity, while accelerating their AI journey. Get a jumpstart on your AI projects by simply describing your data model and use case, then let FeatureByte Copilot’s automated feature ideation suggest relevant features for your model.
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Unlocking the power of a feature engineering community

State-of-the-art
feature engineering

made simple

Feature engineering is traditionally a labor-intensive process that requires substantial domain knowledge and time. Our vision is to give data scientists the automony and control to jump start their data science projects. With FeatureByte, they can explore and create state-of-the-art features and deploy feature pipelines in minutes, affording them time for creativity, experimentation and problem solving.
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Creative feature engineering for everyone - for free

FeatureByte Team

We’re a team of leading data scientists, analytics leaders, and creatives obsessed with solving the AI data problem. Together, we’ve scaled large companies and built unicorn startups from the ground floor. Our culture is all about curiosity, learning, and personal growth. We believe in providing our team opportunities to advance their skills in a supportive, transparent environment. We love learning from each other every day.
Profile
Profile
Profile
Profile
Profile
Profile
Profile
Xavier Conort
Xavier Conort
Co-founder & CPO
LinkedIn
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Razi Raziuddin
Razi Raziuddin
Co-founder & CEO
LinkedIn
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Kenny Chua
Kenny Chua
CTO
LinkedIn
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Sergey Yurgenson
Sergey Yurgenson
Head of Data Science
LinkedIn
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