Shaped

An AI-powered personalization platform for developing advanced ranking models and tailored user experiences.

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About Shaped

Shaped is an AI-native platform that enables users to create sophisticated ranking models, enhancing content understanding and user engagement. It supports personalized discovery pages, feeds, and marketing campaigns by providing real-time, scalable relevance and recommendation solutions. Designed for rapid experimentation, Shaped offers a flexible, configurable engine built for modern data teams seeking precise personalization.

How to Use

Connect your data sources, customize large language models and neural ranking systems, and experiment with ranking and retrieval tools. The platform integrates seamlessly with data warehouses and offers SQL-based feature engineering, empowering technical teams to customize and extend their personalization workflows.

Features

Provides explainable results with in-session analytics

Ensures data security with GDPR and SOC2 compliance

Harnesses AI for search and personalized recommendations

Offers highly customizable ranking and retrieval modules

Includes a comprehensive library of advanced models

Adapts in real-time based on user behavioral signals

Use Cases

Marketplace optimization strategies

Targeted marketing campaigns

Boosting e-commerce conversion rates

Personalizing media content and feeds

Creating tailored discovery pages

Developing customized content feeds

Enhancing social media engagement

Implementing AI-powered recommendations

Best For

Machine learning engineersTechnical development teamsData scientists and analystsProduct managersSoftware developers

Pros

Facilitates rapid testing of ranking strategies

Combines search and recommendation functionalities in one system

Built on AI-native architecture with transformer models and real-time learning

Easy to deploy with seamless integration to existing data sources

Supports cold-start scenarios and multi-modal data understanding

Designed for ML engineers with full customization and control

Cons

Requires technical expertise to leverage advanced customization

Pricing depends on usage and requires consultation for estimates

Frequently Asked Questions

Find answers to common questions about Shaped

How quickly can I integrate Shaped into my system?

You can connect your data in minutes, train your initial model within hours, and complete integration in just days.

What distinguishes Shaped from platforms like Algolia or AWS Personalize?

Shaped offers a unified, AI-native platform optimized for real-time, highly customizable search and recommendation systems, seamlessly integrating with data warehouses and utilizing transformer models and continuous learning loops.

Can Shaped handle multiple ranking use cases?

Yes, Shaped supports a wide range of ranking scenarios. Many clients deploy dozens of models, and adding new ones is straightforward once your data is connected.

What is the minimum data requirement?

There’s no minimum. The only essential data are user interactions such as clicks, views, or impressions.

Why choose Shaped over building in-house solutions?

Building in-house requires significant investment in skilled engineers, long development times, and ongoing maintenance. Shaped offers a scalable, cost-effective alternative that accelerates deployment.

How does Shaped handle my data security?

Designed with security as a priority, Shaped operates as a SaaS platform. It only accesses your data for training, discards most data afterward, and only retains non-identifiable features needed for inference, with no persistent storage of customer data.