Shaped

What is Shaped?

Shaped is an AI-powered platform that helps businesses improve customer engagement, conversions, and retention. It provides simple APIs and instant deployment, offering a complete embeddings infrastructure for ranking. The platform specializes in real-time ranking, allowing businesses to adapt quickly to user behavior. Shaped is designed for data scientists and ML engineers, connecting directly to data warehouses for smooth integration.

Who created Shaped?

Shaped was developed by a team focused on real-time adaptation and security. The company provides a system that turns user behavior into relevant experiences, with solutions for marketplaces, social media, and e-commerce. Shaped is GDPR and SOC2 compliant, protecting customer data through encryption, role-based authentication, and tenant data isolation.

What is Shaped used for?

• Marketplaces: Optimize the experience for both buyers and sellers.
• Building Community: Turn website visitors into an engaged community, increasing interaction and retention.
• Driving Subscriptions: Convert traffic into subscribers to increase revenue and engagement.
• Boosting Conversions: Turn visitors into customers.
• Real-Time Re-ranking: Re-rank items in real time using signals from user behavior.
• Advanced Model Tuning: Fine-tune LLMs and neural ranking models for better performance.
• Experimentation: Build and test different ranking and retrieval components for specific needs.
• Data Insights: Visualize, evaluate, and understand your data with live analytics and performance metrics.

Who is Shaped for?

• Marketplaces
• Social Media Platforms
• Media Companies
• E-Commerce Businesses

How to use Shaped?

1. Integration: Connect your data in minutes, train your first model in a few hours, and fully integrate into your app within days.
2. Data Security: Shaped runs as a cloud-based SaaS platform. It retrieves data only when necessary, discards data after training, and uses non-identifiable encoded features for inference.
3. Real-Time Ranking: Re-rank content in seconds, adapting to user sessions as they happen.
4. Support: Dedicated “white-glove” support is provided throughout the integration process.
5. Ranking Models: Create multiple ranking models tailored to different use cases, using user and item embeddings.