Data-centric AI solution FeatureByte secured $5.7 Million in Seed funding

FeatureByte, a Boston-based provider of a data-centric AI solution, has now secured $5.7 million in a seed funding round.

FeatureByte was founded by Razi Raziuddin and Xavier Conort. It offers a SaaS solution built specifically for data scientists to simplify the creation, to manage, service, and monitoring of machine learning features. It simplifies feature engineering and feature management for data scientists, enabling organizations to achieve AI scale and solving the issue of several silos of work that can occur in domain knowledge, data engineering, and data science.

Rudina Seseri, Founder and Managing Partner, Glasswing Ventures, said, "Glasswing Ventures is excited to lead FeatureByte’s first round of financing and to back such an exceptional founding team with unparalleled domain expertise and a proven record of delivering transformative data science products. FeatureByte’s platform is solving a critical pain for data science and engineering teams and unlocking machine learning’s potential in the enterprise. We believe FeatureByte will become an enduring company in the AI landscape."

Razi Raziuddin, Co-Founder and CEO of FeatureByte, said, "Our team has successfully launched AI deployments for hundreds of organizations worldwide. However, the one constant challenge enterprises face is feature engineering and management. Xavier and I formed FeatureByte to radically simplify the process for data scientists and application developers. The market is extremely fragmented, with siloed solutions addressing only pieces of the puzzle. We are developing a solution from first principles to address full cycle engineering and are excited to partner with Glasswing Ventures and Tola Capital to drive this vision and mission forward."

The round was backed by Tola Capital and Glasswing Ventures.

The AI startup, as of now, has plans to use the new funds to provides its software as a cloud service as well as plans to offer integration with cloud data platforms like Snowflake and Databricks.