About Shaped

The startup develops deep-learning software that enhances user engagement through personalized feeds, notifications, and recommendations. By utilizing artificial intelligence and machine learning, the platform enables businesses to analyze user behavior and optimize content delivery, increasing the likelihood of user interaction and purchases.

```xml <problem> Many platforms struggle to deliver relevant content and product recommendations due to limitations in adapting to real-time user behavior and integrating diverse data sources. Existing solutions often require extensive manual data transformation and lack the flexibility to incorporate custom machine learning models, resulting in suboptimal user experiences and missed revenue opportunities. </problem> <solution> Shaped provides an AI-native personalization platform that enables product and engineering teams to rapidly build and experiment with AI-powered search, recommendations, and ranking systems. The platform connects directly to data warehouses and supports SQL-based feature engineering, allowing for real-time adaptation to user behavior. Shaped's unified architecture merges search and recommendations into a single system, facilitating cross-learning and continuous improvement. By offering a configurable relevance engine and a library of state-of-the-art models, Shaped empowers teams to optimize for business-specific KPIs and deliver personalized experiences across various touchpoints. </solution> <features> - Real-time adaptability using behavioral signals for dynamic re-ranking - Unified search and recommendation system for cross-learning and improved relevance - Direct integration with data warehouses such as BigQuery, PostgreSQL, MySQL, and Snowflake - Support for SQL-based feature engineering and custom machine learning models - Library of state-of-the-art models, including transformer models and hybrid embeddings - A/B testing capabilities for validating model performance in production - Connectors for ingesting data from MongoDB and other data sources - Real-time analytics and performance metrics for monitoring and optimization - Value Modeling to integrate business objectives into recommendations </features> <target_audience> Shaped is designed for product and engineering teams in marketplaces, social media platforms, media platforms, and e-commerce businesses who need to deliver personalized search and recommendation experiences at scale. </target_audience> ```

What does Shaped do?

Where is Shaped located?

Shaped is based in City of New York, United States.

When was Shaped founded?

Shaped was founded in 2021.

How much funding has Shaped raised?

Shaped has raised 10000000.

Location

City of New York, United States

Founded

2021

Funding

10000000

Employees

21 employees

Major Investors

Y Combinator, Madrona, Tribe Capital, Mango Capital, Liquid 2 Ventures

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Shaped

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Executive Summary

shaped.ai 2K+

Crunchbase

Founded 2021 – City of New York, United States

Funding

Estimated Funding

$10M+

Major Investors

Y Combinator, Madrona, Tribe Capital, Mango Capital, Liquid 2 Ventures

Team (20+)

No team information available.

Company Description

Problem

Many platforms struggle to deliver relevant content and product recommendations due to limitations in adapting to real-time user behavior and integrating diverse data sources. Existing solutions often require extensive manual data transformation and lack the flexibility to incorporate custom machine learning models, resulting in suboptimal user experiences and missed revenue opportunities.

Solution

Shaped provides an AI-native personalization platform that enables product and engineering teams to rapidly build and experiment with AI-powered search, recommendations, and ranking systems. The platform connects directly to data warehouses and supports SQL-based feature engineering, allowing for real-time adaptation to user behavior. Shaped's unified architecture merges search and recommendations into a single system, facilitating cross-learning and continuous improvement. By offering a configurable relevance engine and a library of state-of-the-art models, Shaped empowers teams to optimize for business-specific KPIs and deliver personalized experiences across various touchpoints.

Features

Real-time adaptability using behavioral signals for dynamic re-ranking

Unified search and recommendation system for cross-learning and improved relevance

Direct integration with data warehouses such as BigQuery, PostgreSQL, MySQL, and Snowflake

Support for SQL-based feature engineering and custom machine learning models

Library of state-of-the-art models, including transformer models and hybrid embeddings

A/B testing capabilities for validating model performance in production

Connectors for ingesting data from MongoDB and other data sources

Real-time analytics and performance metrics for monitoring and optimization

Value Modeling to integrate business objectives into recommendations

Target Audience

Shaped is designed for product and engineering teams in marketplaces, social media platforms, media platforms, and e-commerce businesses who need to deliver personalized search and recommendation experiences at scale.