Streaming or batch ingestion
Stream data to build and update user and item understanding in real-time.
Real-time feature store
Streamline model development by unifying, storing, and sharing features.
Multi-connector SQL interface
Pull all your data into Shaped without having to build your own ETL pipelines.
Build state-of-the-art user understanding with LLM rankers, two tower architectures, tree models and more.
Ensure models stay relevant with up to hourly continuous training.
Harness the power of GPUs for faster model training and reduced turnaround times.
Suitable for real-time applications that require < 200ms request latencies.
The most cost efficient way to host a scalable ranking model.
Dynamically scale to meet demand for 1000s of requests per second.
Offline and online metrics
Evaluate model performance with offline and online metrics, and A/B testing.
User and item drill-down
Gain deep insights with detailed analyses on user and item interactions.
Visualize and interpret your embeddings to understand user and items better.
“It only took us a week of working with Shaped to deploy a model that instantly increased engagement”
"Shaped was easy to integrate, and our users are more engaged than ever."
“Shaped's understanding of our data and ability to create a custom model has been impressive. ”
“Shaped is the best of both worlds — easy to get started while allowing control over our features and models.”
Designed for developers
Turn key end-to-end embeddings infrastructure for ranking.
🤗 Easy-to-use APIs
👩💻 Powered by PyTorch
⚡️ Instant deployment
Conquer the cold-start
Adapt every user-session in real-time.
⚡ Re-rank in seconds
🔌 Real-time data ingestion
🏞️ Uses your unstructured data
Deploy in daysNo maintenance
Use all your dataUsersItemsInteractions
White-glove supportExpertsHands-onPrivate Slack
Secure by designSOC 2GDPR