World Model

HASH unifies types and entities into a structured graph of the people, organizations, assets, events, documents, and relationships that make up your world. Instead of scattered systems of record, your organization gets one explicit model of how its domain fits together.

Information is ingested passively and in real time from connected apps, documents, browser activity, and workflows. In the background, HASH self-checks, reconciles, and enriches the graph so missing facts, duplicate records, and stale relationships are continuously improved.

As work happens, HASH can automatically map the processes that move through your organization: who did what, which entities changed, what triggered the next step, and where bottlenecks or exceptions appeared. Your world model therefore captures not just what exists, but how things behave over time.

A rich, current world model gives AI systems something grounded to learn from and act on. Use it to train or fine-tune models with reinforcement learning signals, run in-silico experiments through simulation, and provide AI agents with context that is structured, up to date, and auditable.