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Atlas is a prototype multi-user structure visualization and annotation platform hosted at dev.atlasflow.co, featuring a modular interactive renderer that allows the user to create or calculate multiple structured or unstructured views of a shared dataset (represented as "Elements" in the object model). Each element may have an arbitrary number of user-created documents ("Records" in the object model), each of which may be tagged for downstream reporting. These views can be shared with others, and the same data may be represented in different views while maintaining consistency.
- Strategy teams can collaborate to quickly generate, iterate, assess, and compare business plan and proposal assets.
- Analysts can construct reports across structures for comparative and historical analysis.
- Generative AI Consumers can structure GenAI output for human curation, research, and annotation
- Instructors can distribute syllabus and other assets, and gather assets from learners, who can leverage it for structured notetaking aligning to a learning plan or independent course of study
- Content Managers can re-imagine legacy record interfaces, constructing persona-aligned navigation experiences
- Buy-side planners can collect and report on assets from vendors, suppliers and distributors.
- Consultants can create flexible, semi-structured data sets and no-code UIs for comparative analysis.
- UX Designers can create user-friendly rhizomatic data collection patterns, with progressive detail exposure.