Shaped
Increase engagement, conversion, and revenue with real-time adaptable system
Shaped Overview
Shaped is designed for technical teams of all levels - Solutions available for marketplaces, social media, media platforms, and e-commerce - Guaranteed lift within first 30 days or money back - White-glove support and hands-on assistance with data - Shaped offers a configurable system for relevant recommendations and search - Designed for easy set-up and real-time adaptability - Secure infrastructure with GDPR and SOC2 compliance - Built for data scientists and ML engineers, with multi-modal data understanding - Flat-fee monthly pricing based on usage, with no minimum data requirement - Focus on real-time ranking systems and white-glove support - Security is a top priority, with encrypted data and best security practices - Shaped operates as a cloud SaaS platform with role-based authentication and audit logs.
Foundation Year
2021
Parent Company
Shaped
Founders
Daniel Camilleri Shai Bruhis Tullie Murrell
Application of Shaped
- Increase engagement, conversion, and revenue with real-time adaptable system
- Connect and deploy rapidly with direct integration to existing data sources
- Fine tune LLMs and neural ranking models for optimal performance
- Build and experiment with ranking components for any use case
Who Can Use It?
- Data Scientists
- Marketing Professionals
- E-commerce Managers
- Software Developers
- Business Executives
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Shaped Price Structure
Free Trial Available
Yes
Yearly Pricing Level 1
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Pricing Level 2
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Pricing Level 3
Pricing estimate based on usage - flat-fee monthly - billed monthly
Other Details
API Access Available
Yes
Technical Requirements
- Stable internet connection and a standard web browser are required
- Compatibility with all major web browsers such as Chrome, Firefox, Safari, and Edge
- No special hardware or software requirements beyond a standard computer or mobile device
- Computational resource requirement is minimal, as the AI tool is cloud-based
- Accessibility on multiple platforms including Windows, macOS, iOS, and Android
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Pros and Cons
Pros
- Fastest path to relevant recommendations and search
- Increase engagement, conversion, and revenue
- Easy set-up with direct integration to existing data sources
- Real-time adaptability using behavioral signals
- Large model library for fine-tuning LLMs and neural ranking models
- Highly customizable for any use case
- Explainable results with in-session analytics and performance metrics
- Secure infrastructure with enterprise-grade security and GDPR compliance
Cons
- High cost of hiring multiple machine-learning engineers
- Long time required to build and ongoing full-time maintenance
- Data is discarded after training, limiting long-term analysis
- Requires read access to datasets, potential privacy concerns
- Limited support for unstructured data understanding compared to competitors
- Lack of detailed information on pricing structure and potential hidden costs
Disclaimer:
This data is based on open sources for informational purposes only. For complete accuracy, please visit the actual website to validate the information.
Community
Shaped Community
LinkedIn
(2.6K+ followers)
Twitter
(1.7K+ followers)