Featureform, a San Francisco, CA-based MLOps feature store for building AI and ML systems, raised $5.5M in Seed funding.
The round, which brought the total amount to $8.1M, was led by GreatPoint Ventures and Zetta Venture Partners with participation from Tuesday Capital and Alumni Ventures.
The company intends to use the funds to expand its product growth and increase support for existing and new enterprise customers, in addition to its open-source community.
Led by Simba Khadder, Co-Founder & CEO, and Shabnam Mokhtarani, Co-Founder & COO, Featureform is the creator of a virtual feature store to streamline how data and model features are built and maintained in machine learning orgs. Its python framework and feature store does away with copy and pasting between scattered notebooks with names like “Untitled18.ipynb,” unifies feature pipelines between experimentation and production, deduplicates repeated features across teams, and eliminates ambiguously named tables like “feature_table_v5.”
By using Featureform, these data science teams:
- Accelerate time to build and deploy new features from months to hours.
- Deduplicate and leverage existing work by allowing data scientists to collaborate on, share, and discover features.
- Improve models in production by guaranteeing consistency between serving and training data, and catch feature drift before it becomes a problem.
- Effortlessly enforce access control and governance policies in the feature workflow.
FInSMEs
13/12/2023