Ontology-Ready Architecture

AI-Ready Data Built by Design, Not Refinement

Most collaboration data requires complex refining and labeling before AI can use it. Seeze is designed from the ground up to structure data automatically the moment it is created.

3 Key Pillars

ᆞ One object for email, chat, and tasks

Every conversation in Seeze is a first-class object (Issue) equipped with assignees, status, deadlines, and participants. Email and chat are no longer fragmented silos, but connected events on the same issue tied directly to their origin. (US/KR Patents)

ᆞ Structure as a byproduct of work

No labeling or manual tagging required. Daily actions—assigning tasks, replying to customer emails, updating statuses—automatically record typed, machine-readable structures without separate data refinement projects.

ᆞ Built to become a knowledge graph

Seeze maps directly to open standards. Projecting data into a Knowledge Graph for GraphRAG and agent workflows is a lightweight, defined step rather than a complete system redesign.

[Open Standard Alignment]

Concept Aligned With What it means
Issue W3C Activity Streams 2.0 A conversation, email, or task treated as one object
Activity W3C Activity Streams 2.0 Every comment, status change, timestamped event
Origin W3C PROV Every issue keeps a traceable link back to where it came from