Early warning & risk
Early detection of natural events, crises, and cascading failures.
DINGIR (Dynamic Interaction Network & Graph Intelligence Runtime) connects historical and real-time observations across more than 20 domains into one living, causally structured world graph. Not just a data store: a system that tracks how things relate, notices what changes, and reasons about what that change touches next.
Trained to predict the next linguistically plausible token.
Understands language, not the world.
Answers plausibly.A language model connected to tools, able to carry out tasks with them.
Can take actions and access data to get work done.
Acts plausibly.Represents the state of the world itself, keeps relationships across time and space, and infers what could happen next.
Learns from observations, simulates scenarios, and reaches grounded predictions.
Understands the world.Five examples of how DINGIR connects events
Current events in real time
Applications
A queryable data warehouse of world knowledge.
Early detection of natural events, crises, and cascading failures.
Visibility across supply chains, transport, shipping, and critical infrastructure.
Understanding market moves, macro signals, and sector-level connections.
Tracking geopolitical developments, conflict dynamics, and systemic risk.
An open interface for research, hypothesis testing, and discovery.
Data-driven decisions with context across time, geography, and systems.
Want to run DINGIR against your own processes, or get regular access to our world-model data? Join the early-access list.
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