Shaped

Increase engagement, conversion, and revenue with a configurable search and recommendation system that adapts in real-time.

High-Level Overview

Shaped is a developer-first AI platform that delivers personalized recommendations and search experiences by leveraging deep learning and real-time user behavior analysis. It enables businesses—especially small and medium-sized ones—to create hyper-personalized user experiences without needing large machine learning teams. Shaped’s platform integrates seamlessly with existing data sources and supports multiple data types (language, video, audio), helping brands like Outdoorsy, Trela, and QVC increase engagement, conversions, and customer satisfaction through AI-powered personalization[1][3][4].

Origin Story

Founded in 2018 by Tullie Murrell, Daniel Camilleri, and Shai Bruhis, Shaped emerged from the founders’ combined experience at major tech companies such as Meta, Uber, and Google. Murrell and Camilleri first met at a hackathon in Australia nearly a decade before founding Shaped. Initially focused on video personalization, the company pivoted after participating in Y Combinator in 2022 to build a broader AI personalization platform that supports multiple media types and use cases. Early traction came from securing notable customers and raising seed funding, followed by an $8 million Series A in 2024 led by Madrona Venture Group, with participation from Y Combinator and industry leaders[1][2][3].

Core Differentiators

• Unified Search & Recommendations: Shaped merges search and recommendations into a single AI-native system, unlike competitors that treat them separately or lack search capabilities.
• Developer-Centric Platform: Focuses on empowering developers with customizable tools, APIs, and dashboards for model testing and analytics rather than marketing personas.
• Real-Time Adaptability: Uses behavioral signals to ingest and re-rank content dynamically, enabling personalized experiences that evolve with user interactions.
• Advanced AI Models: Employs transformer models, multi-objective optimization, and real-time learning loops for state-of-the-art performance.
• Explainability & Security: Provides in-session analytics for transparency and operates with enterprise-grade security, including GDPR and SOC2 compliance, with minimal data retention and encrypted data handling[1][3][4][5].

Role in the Broader Tech Landscape

Shaped rides the growing trend of AI-driven personalization, addressing the rising consumer expectation for tailored digital experiences across industries. The timing is critical as AI and machine learning become more accessible, yet many small businesses lack the resources to build sophisticated personalization engines. By democratizing AI personalization, Shaped influences the ecosystem by enabling a wider range of companies to compete with tech giants in delivering intelligent, impactful user experiences. This aligns with broader market forces emphasizing data-driven engagement and real-time user adaptation[1][3][6].

Quick Take & Future Outlook

Looking ahead, Shaped is poised to expand its platform capabilities and customer base by continuing to enhance its AI models and developer tools. Trends such as increasing demand for personalized content, advances in large language models, and real-time data processing will shape its growth trajectory. As AI personalization becomes a standard expectation, Shaped’s influence may grow from a niche developer tool to a foundational technology powering diverse digital experiences across sectors. Its commitment to accessibility and security positions it well to lead in the evolving personalization landscape[1][3][4][6].