A centralized repository within the Orbit platform that contains structured and unstructured data, including pre-built datasets such as global exchange filings, sustainability reports, and regulatory documents. It serves as the foundation for analysis and data retrieval.
A type of AI model used within the Orbit platform to process and understand natural language. LLMs are employed to extract insights from documents, identify emerging technologies, and support advanced search and chat functionalities.
A feature within the Orbit platform that allows users to create, configure, and deploy bots for automating workflows. The marketplace provides a variety of pre-built bots that can be customized to meet specific needs, enabling mass customization and automation.
The cloud-based deployment model of the Orbit platform hosted on AWS. It provides users with access to the platform’s full capabilities without the need to manage infrastructure, offering scalability, reliability, and security.
A search feature in the Orbit platform that allows users to focus queries on specific entities, such as companies. This helps in retrieving the most relevant data for targeted analysis.
A set of protocols and tools that allow different software applications to communicate with the Orbit platform. APIs are used for integrating the platform’s capabilities with other systems, enabling data access, bot results retrieval, and more.
A feature that allows users to create and manage predefined prompts within the Orbit platform. These concepts define how information is processed and presented, enabling consistent and efficient data analysis across the platform.
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