Shaped Features, Pricing, and Alternatives

What is Shaped?

Shaped is an AI-powered recommendation and search platform that connects to existing data sources. It processes unstructured text and images into vector embeddings, personalizes content in real-time based on user behavior, and enables semantic search across catalogs to help developers and marketers create more relevant product recommendations and content discovery experiences. Shaped works across marketplaces, social media platforms, and e-commerce sites to increase engagement and conversion rates.

What sets Shaped apart?

Shaped distinguishes itself through its seamless integration with Hugging Face's extensive model library, giving developers precise control over which language models process their data. The platform's ability to combine behavioral signals with semantic understanding allows marketers to create discovery experiences that adapt within seconds to user actions. Unlike conventional recommendation systems, Shaped maintains content diversity while improving relevance, helping companies drive more value from their existing product catalogs and content libraries.

Shaped Use Cases

Personalized content feeds
Semantic search
Product recommendations
Behavioral analysis

Features and Benefits

Real-time Personalized Recommendations
Recommendations adapt in seconds to user interactions, creating more engaging and relevant experiences based on behavioral signals.
Multi-stage Ranking Architecture
Content is processed through retrieval, filtering, scoring, and ordering stages to deliver the most relevant results for each user.
Data Source Integration
Connect directly with your existing data sources including warehouses, streaming platforms, and AI models without additional transformation work.
Customizable Ranking Models
Configure models with specific parameters like exploration factor, diversity attributes, and boosting factors to align with your business objectives.
Unstructured Data Understanding
Process and encode text, images, and other unstructured data into meaningful vector representations that power semantic search and recommendations.

Shaped Pros and Cons

Pros

Makes budget management across multiple ad platforms seamless and efficient
Auto-pacing features prevent overspending and underspending
Comprehensive dashboard provides clear visibility into campaign spending
Excellent data visualization helps quickly understand budget status
Saves significant time on manual budget adjustments

Cons

Customer support has deteriorated significantly after acquisition
Missing integrations with several major ad platforms
Interface can be overwhelming and difficult to navigate
Budget adjustment logic lacks transparency
High price point may not be cost-effective for smaller teams

Shaped — AI Search Engine

What is Shaped?

What sets Shaped apart?

Shaped Use Cases

Who uses Shaped?

Features and Benefits

Shaped Pros and Cons

Pricing

Shaped Alternatives