Description
Rasgo is a feature engineering platform that accelerates the transformation of raw data into machine learning-ready features using AI-powered feature generation and discovery. The platform automatically identifies, evaluates, and recommends optimal features for specific prediction tasks, drastically reducing the time data scientists spend on feature engineering. With its collaborative workspace for sharing and reusing feature logic across teams and projects, Rasgo helps organizations build better models faster while maintaining consistency and governance in their machine learning pipelines, addressing one of the most time-consuming and critical aspects of the AI development lifecycle.
Key Features
- AI-powered feature discovery
- Automated feature engineering
- Feature impact evaluation
- Collaborative feature repository
- Data warehouse integration
Use Cases
- Predictive model development
- Machine learning acceleration
- Data science collaboration
- Model performance improvement
- Feature reuse and governance
Pricing Model
Usage-based subscription with team tiers
Integrations
Cloud data warehouses, Machine learning platforms, Data science notebooks, MLOps tools, Business intelligence systems
Target Audience
Data scientists, Machine learning engineers, Data engineers, Analytics leaders, ML platform teams
Launch Date
2019
Available On
Cloud-native platform, Modern data stack integration, Enterprise deployment
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