Shaped
Overview
Shaped is an innovative platform that specializes in providing real-time recommendations and search capabilities to drive engagement and conversion for businesses. Primarily targeting technical teams in diverse sectors such as e-commerce, media, and social media, Shaped employs advanced AI technologies to process unstructured data for improved ranking. The most innovative feature is its multi-modal unstructured data understanding, which allows it to utilize various data types seamlessly. This capability empowers users to develop relevance-based models quickly and efficiently, addressing the common challenge of poor recommendation accuracy with a robust, adaptive solution.
Shaped follows a flat-fee monthly pricing structure based on usage, making it accessible to organizations of different sizes. Once a prospective user shares their approximate number of active users and specific implementation needs, Shaped provides an estimated pricing plan tailored to their requirements. This flexible pricing model encourages businesses to easily scale their usage as needed, and offers a guarantee of a performance lift within the first 30 days, further enhancing the perceived value of the service.
The user experience and interface of Shaped are designed to facilitate seamless integration and ease of use. The platform features an intuitive layout that guides users through data connection, model training, and deployment processes, enhancing overall usability. User-friendly design choices, such as straightforward navigation and comprehensive documentation, distinguish Shaped from competitors by providing a supportive environment for both seasoned professionals and less experienced users, ensuring an enjoyable and efficient browsing experience.
Q&A
What makes Shaped unique?
Shaped stands out by utilizing advanced AI technologies such as transformers and Large Language Models (LLMs) to process and rank multi-modal unstructured data, including text, images, and videos. Unlike other solutions like Algolia and AWS Personalize that primarily focus on structured data or batch processes, Shaped's real-time adaptability allows it to re-rank based on live behavioral signals. This capability not only enhances the relevance of recommendations but also supports diverse use cases, making it an excellent choice for organizations with varying needs.
How to get started with Shaped?
New users can easily get started with Shaped by signing up for a free account on their website. After registration, it takes only minutes to connect their existing data sources, followed by hours to train their first model. Integration into applications can typically be achieved within a matter of days, ensuring a quick and efficient onboarding process. The platform is designed for seamless setup, allowing users to leverage its functionalities rapidly.
Who is using Shaped?
The primary user base of Shaped consists of technical teams including data scientists, machine learning engineers, and developers across various industries such as e-commerce, media, and social platforms. These users typically seek to enhance customer engagement and optimize conversion rates through customizable recommendation and search solutions. Shaped's versatility allows organizations of all sizes to implement its technology, regardless of their existing level of expertise in recommendation systems.
What key features does Shaped have?
Shaped's key features include real-time adaptability for dynamic ranking and recommendations, a comprehensive model library that allows fine-tuning of LLMs and neural ranking models, and secure infrastructure that adheres to enterprise-grade security standards. Additionally, Shaped offers detailed in-session analytics to visualize and interpret data effectively. Its user-friendly design supports fast setup and integration, enabling organizations to boost engagement, conversion, and overall performance with minimal effort.
