Shaped AI
AI ranking and retrieval platform for recommendations and search.
Pricing
About Shaped AI
Shaped is a ranking and retrieval platform for building recommendation and search systems, aimed at product and engineering teams at marketplaces, e-commerce companies, and content and media platforms. It combines retrieval, ranking, and continuous learning in one system: teams connect their data through more than 30 native connectors, query it through ShapedQL (a query interface that retrieves by text, user ID, or item ID), and get results from a multi-stage ranking pipeline built on transformers and large language models. The platform supports hybrid search that blends semantic and keyword matching, updates its rankings continuously as user interactions come in, and is built to handle large scale — the site cites support for 5 billion-plus documents, 100 million-plus users, sub-50ms latency, and a 99.95% uptime SLA. It is SOC 2 Type II certified and states GDPR and HIPAA compliance. Access is available through Python and TypeScript SDKs and an MCP integration, with connectors to tools like Segment, Amplitude, BigQuery, Shopify, Kafka, and Snowflake. A free tier with $100 in credits is offered alongside enterprise pricing. In July 2026, live-shopping platform Whatnot acquired Shaped to power its real-time recommendations, so the self-serve platform's long-term roadmap and availability going forward are not yet clear.
At a glance
- Platforms
- Web, API
- API
- Available
- Integrations
- Segment, Amplitude, BigQuery, Shopify, Kafka, Snowflake
- Last verified
- August 2026
Who It's For
- •Data scientists
- •Machine learning engineers
- •E-commerce businesses
- •Media and entertainment companies
- •SaaS companies looking to implement personalization
How It Works
- 1Shaped works by taking raw user interaction data and product information as input.
- 2It then processes this data, engineers relevant features, and trains machine learning models specifically designed for recommendations.
- 3The platform abstracts away infrastructure complexities, allowing users to focus on model logic and business goals.
- 4It provides tools for A/B testing models against each other to identify the best performing recommendation strategies.
How to Use Shaped AI
- 1Integrate Shaped with your data sources, such as event streams or databases, to feed it user interaction and item data.
- 2Define your recommendation goals and configure the models within Shaped's interface or via its API.
- 3Deploy your trained recommender models to serve real-time recommendations to your users.
- 4Monitor model performance and iterate on your recommendations using Shaped's analytics and experimentation tools.
Key Features
- •ShapedQL query interface
- •Hybrid semantic + keyword search
- •Multi-stage ranking pipeline (transformer/LLM-based)
- •Continuous learning from user interactions
- •30+ native data connectors
- •Python and TypeScript SDKs, MCP support
Use Cases
- •Building personalized product recommendations for e-commerce
- •Powering semantic search for a marketplace or content platform
- •Personalizing 'For You' content feeds
- •Retrieval for AI agent memory
Pros & Cons
Advantages
- •Simplifies the complex process of building and deploying recommender systems, saving significant development time.
- •Provides a full-stack solution, reducing the need for multiple disparate tools and services.
- •Enables rapid experimentation and iteration with built-in A/B testing, leading to better performing recommendations.
- •Handles scaling and infrastructure management, allowing teams to focus on core business logic rather casesthan operational overhead.
Disadvantages
- •The platform's cost might be a barrier for very small businesses or startups with limited budgets.
- •Reliance on a third-party platform might lead to vendor lock-in for critical recommendation infrastructure.
Alternatives
- Algolia
- Amazon Personalize
- Recombee
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Frequently Asked Questions
What is Shaped AI?
Shaped is a ranking and retrieval platform for building recommendation and search systems, aimed at product and engineering teams at marketplaces, e-commerce companies, and content and media platforms. It combines retrieval, ranking, and continuous learning in one system: teams connect their data through more than 30 native connectors, query it through ShapedQL (a query interface that retrieves by text, user ID, or item ID), and get results from a multi-stage ranking pipeline built on transformers and large language models.
How much does Shaped AI cost?
Shaped AI uses custom pricing — contact the vendor for a quote. A free trial is available.
Is Shaped AI free?
Shaped AI is a paid tool, but it offers a free trial.
What are the best Shaped AI alternatives?
Popular Shaped AI alternatives include Algolia, Amazon Personalize, Recombee.
What is Shaped AI used for?
Shaped AI is commonly used for Building personalized product recommendations for e-commerce, Powering semantic search for a marketplace or content platform, Personalizing 'For You' content feeds.
Does Shaped AI have an API?
Yes, Shaped AI offers an API for developers.
What platforms does Shaped AI support?
Shaped AI is available on Web, API.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.