A control panel for your business objectives
Seamlessly integrate multiple scoring objectives, balance personalization with business logic, and dynamically adapt models at inference time—all with native Python flexibility.
Open the black box and take control
Unlock direct observability and define precise ranking logic using interpretable expressions.
Social media ranking systems
Switch between personalized & trending models dynamically.
Marketplace dynamic ranking
Dynamically mix personalized scores with a geo-location penalizer to connect users with nearby items.
Ecommerce personalization
Optimize recommendations by balancing engagement, purchase intent, and product diversity.
News & Content Platforms
Dynamically decay rankings for older content while boosting high-quality journalism.
Experiment and iterate without retraining
No more waiting for lengthy training cycles. Adjust ranking weights, test different scoring strategies, and refine recommendations in real-time.
Blend Multiple Models for Smarter Ranking
Instead of using one model to optimize for all objectives, Value Modeling allows you to train separate models for clicks, purchases, or quality —then combine them dynamically.
Take Control of Your Rankings—No Retraining Required
Fine-tune recommendations, blend multiple models, and adapt in real-time—all with full transparency and no black-box limitations.
