Shaped Product Information
What is Shaped?
Shaped is an AI-native personalization platform that allows users to build powerful ranking models to understand the content their users are most likely to engage with or buy. This understanding can be used to create personalized discovery pages, feeds, recommendations, and marketing communication. Shaped helps teams rapidly experiment with AI search, recommendations, and personalization, offering a real-time, configurable relevance engine built for scale.
How to use Shaped?
To use Shaped, connect your existing data sources, fine-tune LLMs and neural ranking models, and experiment with ranking and retrieval components. The platform integrates directly with data warehouses and supports SQL-based feature engineering, providing technical teams with full control and extensibility.
Shaped's Core Features
- AI-powered search and recommendations
- Real-time adaptability using behavioral signals
- State-of-the-art model library
- Highly customizable ranking and retrieval components
- Explainable results with in-session analytics
- Secure infrastructure with GDPR and SOC2 compliance
Shaped Use Cases
- #1Personalized discovery pages
- #2Customized feeds
- #3AI-driven recommendations
- #4Optimized marketing communication
- #5Marketplace optimization
- #6Social media engagement
- #7Media platform personalization
- #8E-commerce conversion boosting
FAQ from Shaped
How long does integration take?
Integration is efficient. You can connect your data to Shaped in minutes, train your initial model in hours, and complete the full integration into your application in days.
How does Shaped differ from Algolia or AWS Personalize?
Shaped is a unified, AI-native platform built for real-time, highly customizable search and recommendation systems tailored for modern data teams. It combines search and recommendations into one system, utilizes transformer models and real-time learning loops, and integrates directly with your data warehouse.
Can I use Shaped for multiple ranking use cases?
Yes. Shaped is designed to support all your ranking use cases. Most companies we work with deploy dozens of models, and once your data is connected, creating additional ranking models is straightforward.
How much data is required?
There is no minimum data requirement. The only requirement is that you collect user interactions, such as clicks, views, or impressions.
Why should I choose this over building in-house?
Building in-house involves high costs for machine learning engineering talent, long development timelines, and ongoing maintenance. Shaped handles scalability and reliability, allowing you to go from zero to production in a few days at a lower cost.
How is my data handled?
Shaped is built with security as a priority. As a cloud-based SaaS platform, we only access your connected datastores when necessary to build ranking algorithms. After training, most data is discarded, retaining only non-identifiable encoded features for inference. We only require read access, and customer data does not need to be persisted within Shaped.
Shaped Pricing
Free
$0
Free plan available.
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