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OpenBlender

Data science toolkit to inject external context to models to improve situational awareness and predictive performance.

Named a 2021-2022 Gartner Cool Vendor in Data for AI and ML for efficiently enriching models with contextual data from any source (variables from news, social media, search trends, reviews, financial markets, mobility, etc.).

Data is automatically profiled, cleaned and transformed data into an ML-ready format. Then, just a few clicks or lines of code are needed to blend thousands of new features from any external source.

Customers deploy it on Python/R via API or visualize insights on customizable dashboards.