Shaped
Shaped provides an AI-native relevance platform that democratizes real-time personalization, search, and recommendation systems for developers and enterprises.
At a Glance
- Marketplaces
- E-commerce
- Content Platforms
- AI Agent Developers
AI Tools by Shaped
(1)
Shaped
Real Time Retrieval and Ranking Engine
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Latest News
Shaped Raises $8M Series A and Launches Self-Serve Recommendations Platform
Introducing Shaped 2.0: The Database for Relevance
Shaped Launches Semantic Search with Behavioral Re-ranking
Shaped Achieves SOC 2 Type II Certification
Products & Services
A SQL-like declarative query language for defining multistage ranking pipelines.
Hybrid search combining keyword and semantic search with real-time user behavior re-ranking.
A real-time relevance engine for powering personalized feeds and recommendations.
Context-aware memory retrieval for AI agents and conversational assistants.
Market Position
Positions as an AI-native alternative to legacy search stacks like Elasticsearch and Algolia, offering integrated real-time ML re-ranking and sub-50ms latency without complex ETL pipelines.
Leadership
Founders
Tullie Murrell
CEO and Co-founder. Previously an Applied Research Scientist at FAIR (Facebook AI Research) and a Machine Learning Engineer at Meta. Also held roles at Uber, Google, and Palantir.
Daniel Camilleri
COO and Co-founder. Previously Head of Product Research at Afterpay and UX Research Lead at Uber.
Shai Bruhis
Co-founder (former CTO). Previously worked at Amazon Web Services (AWS) on Amazon Rekognition.
Executive Team
Tullie Murrell
CEO & Co-Founder
Former FAIR Research Scientist and Meta ML Engineer.
Daniel Camilleri
COO & Co-Founder
Former Head of Product Research at Afterpay and UX Lead at Uber.
Board of Directors
Founding Story
The founders, with backgrounds at Meta, Uber, and AWS, realized that advanced ranking and recommendation systems were essential for user engagement but too complex for most teams to build from scratch. They founded Shaped to provide a developer-first platform for high-performance relevance.
Business Model
Revenue Model
SaaS with usage-based pricing for data storage, model training, and API calls.
Pricing Tiers
$300/month usage credit included. Console access and community support.
Usage-based pricing: $0.75-$2.25/GB stored, $5/GPU hour for training, $42/million API calls. 99.95% SLA.
99.99% SLA, private networking, 24/7 on-call support, and dedicated data scientists.
Target Markets
- Marketplaces
- E-commerce
- Content Platforms
- AI Agent Developers
- Personalized content feeds
- Product recommendations for e-commerce
- Semantic search and discovery
- AI agent memory and retrieval
- Personalized marketing emails
- Outdoorsy
- Trela
- QVC
- Afterhour