Working with multiple projects is increasingly complex, and the world is moving faster than ever. To make decisions, project managers like you rely on diverse data coming from their apps and countless sensors around the world. Organizing this data and making sense of it at this scale is practically impossible through human capacity alone.

Zet Universe was built for this context. It is designed to connect to your applications and sensors, to help you visually organize your data by your projects, enhance it with AI, and to make sense of your data.

Zet Universe is a visual workspace that delivers an infinite canvas for organizing your project information like web pages, documents, unstructured thinking, and custom data from your apps into your personal knowledge graph.

With Zet Universe, you can:
• Organize your information into different projects, and in each project you can
• Connect it to your apps like local folders, OneDrive, Dropbox, Slack (coming soon)
• Save your favorite web pages
• Save your documents
• Create and save sticky notes to preserve your unstructured thinking
• Visually organize them into the visual clusters
• Tag entities with color tags
• Mark entities as read/unread
• Link different entities together
• Recall them easily using spatial and full-text search
• Zoom out to see the status of your clusters and projects by your tags (e.g., number of “Red” or “unread” entities in cluster/project)

With web services from Dandelion and DeepPavlov (separate subscription may be required) you can:
• Manually and automatically extract entities (organizations, people, etc.) from your web pages, documents, and sticky notes
• Look up for entities (organizations, people, etc.) using its search functionality

With Zet Universe’s personal knowledge graph, you can:
• Create instances of default ontology kinds like Document, Person, Organization etc., e.g., you can create a new Organization called “SpaceX”
• Define your own custom ontological kinds (e.g., you can create a “Space Company” derived from “Organization”)
• Create your own custom ontological Relationships between default and custom Kinds (e.g., “Spacecraft” “Is Built By” “SpaceX”)
• Create your own custom ontological Relationships between default and custom Kinds (e.g., “Spacecraft” “Is Built By” “SpaceX”)
• Use entities extracted from public web knowledge graph Wikidata with your own data
• Visualize connections between interesting entities
• Get insights from the bigger picture

In the coming versions, more support will be available for:
• Support for Slack
• Support for Rules & Alerts (to automatically organize incoming information into your projects and clusters in them)