Shaped
Shaped is a real-time AI-powered retrieval engine that enables businesses to build and deploy personalized search, recommendations, and feed experiences with <50ms latency through a unified, queryable relevance engine.
https://www.shaped.ai/?ref=producthunt
Product Information
Updated:Feb 9, 2026
Shaped Monthly Traffic Trends
Shaped received 99.7k visits last month, demonstrating a Slight Decline of -8.4%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Shaped
Founded in 2021 by Daniel Camilleri and Tullie Murrell, Shaped is an end-to-end relevance engine designed for real-time personalization and agent memory. The company, based in New York with 25 employees, provides an AI-native platform that allows developers and businesses to create dynamic, relevant user experiences by leveraging their data and large language models. Shaped has raised Series A funding led by Madrona Ventures with participation from Y-Combinator and other notable investors.
Key Features of Shaped
Shaped is an end-to-end AI-powered relevance engine designed for real-time personalization, search, and recommendations. It offers a unified platform that combines hybrid search capabilities, personalized content feeds, and agent memory functionality. The platform features native SQL ranking, sub-50ms query latency, and seamless integration with 30+ data connectors, making it easy for businesses to implement personalized experiences while maintaining enterprise-grade security and compliance.
ShapedQL Query Language: SQL-like interface that allows teams to compile queries into optimized, multi-stage ranking pipelines with hybrid search, filtering, scoring, and reordering capabilities
Real-time Data Processing: Ingests and processes data in real-time through a feature store, enabling efficient serving of features at both training and inference time with <50ms latency
Multi-modal AI Understanding: Uses transformers and Large Language Models to handle and rank complex, unstructured data types including text, images, and video
Enterprise Security: SOC 2 Type II certified platform with GDPR/HIPAA compliance and 99.95% uptime SLA, ensuring secure handling of sensitive data
Use Cases of Shaped
E-commerce Personalization: Powers personalized product recommendations, cart upsells, and semantic search to increase conversion rates and average order value
Social Media Content Discovery: Enables personalized content feeds and recommendations that adapt in real-time to user behavior and preferences
AI Assistant Enhancement: Provides contextual memory and retrieval capabilities for AI agents to deliver more relevant and personalized responses
Email Marketing Optimization: Generates dynamic email content personalized for each recipient based on their preferences and behavior
Pros
Quick implementation time (7 days from connection to production)
Extensive integration options with 30+ native connectors
Unified platform for both search and recommendations
Enterprise-grade security and compliance features
Cons
Pricing structure not publicly available
May require technical expertise to fully utilize all features
How to Use Shaped
Sign up and Connect Data Sources: Create an account at console.shaped.ai/register. Connect your data using one of 30+ native connectors including Snowflake, BigQuery, Redshift, MongoDB, PostgreSQL, or streaming sources like Kafka/Kinesis.
Configure Data Layer: Set up your data tables and views. Tables store raw data with defined schemas, while Views transform this data through SQL queries or AI-powered enrichment into the structure needed for your use case.
Train Models: Once data is connected, Shaped analyzes your raw data and generates rich embeddings that capture underlying meaning and relationships. These embeddings are used as input to train recommendation and ranking models.
Write ShapedQL Queries: Use ShapedQL (SQL-like query language) to define your ranking logic. Write queries that combine retrieval, filtering, scoring and reordering in a declarative way.
Test and Deploy: Test your models and queries in development. Once satisfied, deploy to production where Shaped will handle real-time serving with <50ms latency.
Monitor and Optimize: Use Shaped's monitoring tools to track data quality, model accuracy, and performance. The system continuously trains and improves by attributing new user interactions.
Scale and Customize: Add additional use cases like personalized feeds, hybrid search, or agent retrieval. Customize ranking logic using business rules, exploration techniques, and multi-objective optimization.
Shaped FAQs
Shaped requires user, item and event data, with a minimum of 100 items recommended to get reasonable uplift. The system works even in low data regimes due to pre-trained models on external datasets.
Shaped Video
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Analytics of Shaped Website
Shaped Traffic & Rankings
99.7K
Monthly Visits
#363509
Global Rank
#1400
Category Rank
Traffic Trends: Jul 2024-Jun 2025
Shaped User Insights
00:01:42
Avg. Visit Duration
2.67
Pages Per Visit
45.77%
User Bounce Rate
Top Regions of Shaped
CA: 25.41%
IN: 22.74%
US: 15.89%
DE: 4.74%
TR: 3.91%
Others: 27.32%
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