Decision Support
Ranked next steps with a trail back to source. Charts exist if you need them.
A shortlist, with the records behind it
The decision layer flags a deviation, names the risk, and ranks what to do next. A dashboard of last week is still available. It is not the product.
The Kinetic Graph is watched as it updates. A person still signs the call.
Request DemoBefore the pack is written
A flag while there is still time to act. Last night’s report is history.
Real-Time Anticipation
Events are processed as they occur, not after collection. Pattern matching happens on partial sequences, enabling predictions before outcomes.
Graph RAG
Ask in language against the graph. Answers cite nodes and a confidence figure.
Pattern-Based Forecasting
Recognize sequences that predict outcomes with 90%+ accuracy
Early Signal Detection
Identify leading indicators 30-60 seconds before outcomes occur
Predictive Scoring
Continuous probability calculation with real-time threshold alerts
Decision Types
The system generates multiple types of actionable decisions autonomously.
Anomaly Alerts
Real-time alerts when behavior deviates from expected patterns. Includes root cause analysis and suggested fixes.
Risk Assessments
Proactive risk identification before problems materialize. Confidence scores and evidence-based recommendations.
Optimization Recommendations
Actionable suggestions to improve outcomes. Based on learned patterns and predictive models.
Intervention Triggers
Automatic intervention recommendations when user behavior indicates need for assistance.
Where we operate
Intelligence for desks where delay is expensive
Energy
Planetary-scale operations and grid intelligence
Model generation, transmission, and market signals in one continuous view so teams see imbalance and risk before they cascade.
Energy