Scira is an AI-powered search and synthesis engine that uses agentic research workflows to find and organize information from the web and academic sources. The system breaks complex queries into multi-step plans and generates grounded answers with inline citations for verification.
The platform distinguishes itself by executing Python code within isolated sandboxes to perform data analysis and create visual charts from retrieved data. It also implements retrieval-augmented generation to perform semantic searches across uploaded documents, including PDFs and CSV files, and integrates with cloud storage and third-party productivity suites for external knowledge retrieval.
The software covers a broad range of capabilities including real-time financial market analysis, multilingual text and image translation, and the retrieval of location and travel data. It manages multi-model routing across various AI providers and includes automated tools for periodic topic monitoring and scheduled search tasks.
The system is deployed using containerized images and includes integrated user identity management, session-based access control, and subscription billing.