An introduction to
Unified Intelligence.
Fujitsu’s Atamai Freight platform needed to unify fragmented, multi-party supply chain data into a single, trusted view.
Siloed systems, dynamic relationships, and limited real-time visibility constrained collaboration and delayed decision-making.
Entopy deployed an ontology-driven digital twin, structuring data around consignment journeys and linking entities such as consignments, vehicles, ports, and smart seals.
Real-time data ingestion via APIs, combined with targeted capture and segmentation, enabled scalable, secure data sharing across stakeholders.
Entopy’s platform applies intelligent data orchestration and event detection to identify real-time events, such as arrivals, delays, and anomalies.
This enables predictive insight, automated alerts, and faster, more informed decision-making.
Turn fragmented live data into a shared, decision-ready understanding of the operation.
Our AI Agent identifies emerging situations, explains why they matter, and notifies operators with recommended actions.
Teams can use the AI Agent to explore future scenarios, compare trade-offs, and pressure-test decisions in advance.
Entopy is a Unified Intelligence layer that continuously understands operations, predicts what’s next, and helps you act with confidence.
Real-time and historical data from both internal and external sources is cleansed, standardised, validated and enriched using Entopy core.
Entopy’s proprietary synthetic data generation technology enables sparse and incomplete datasets to be improved and rare event data to be expanded.
Many discrete, targeted AI/ML models are deployed to specific areas of the operation, predicting specific dynamics.
Outputs from many micromodels are dynamically integrated together with real-time and historical data to create a dynamic network of intelligence.
A continuously updated intelligence layer connects data, models and operational context into a shared view of what is happening now.
This enables teams to understand evolving conditions, anticipate change, and act earlier with greater confidence.
Entopy’s proprietary ontology enables dynamic integration and orchestration of data across domains.
The ontology enables data to be attributed to entities with relationships and rules baked in.
The result is a digital model that reflects the target operation, creating a unique world model.
This gives the system a structured understanding of the operational environment and how its parts relate.
Entopy’s ontology is self-adaptive, enabling new facts to be created autonomously.
Situational memories are derived from situation lifecycle monitoring and treated as first-class entities within the ontology, supporting learning and experience within the system over time.
An AI agent continuously identifies and tracks emerging situations, monitoring how they evolve, escalate and resolve.
As conditions change, it assesses impact and recommends actions, learning from every outcome to improve future decisions.
The agent participates in operational workflows in real time, using situational awareness to anticipate, coordinate and optimise responses across stakeholders.
It does this through the distribution of communications through familiar channels as well as following defined escalation paths.
Intelligence is translated into timely, practical actions that support teams as situations develop.
This enables operators to respond earlier, coordinate more effectively and improve decisions as conditions change.
A dedicated AI agent for deep analysis uses multi-step reasoning to evaluate situations and test scenarios.
It draws on the full Unified Intelligence layer to deliver insights and outcomes grounded in operational reality.
Built into the agent is a wargaming engine that supports the ability to simulate and test decisions.
Alongside it, a cascading impacts engine evaluates how changes propagate through interconnected entities, constraints and processes.
The system translates exploration into clear decision pathways, highlighting trade-offs and likely outcomes.
This enables organisations to pressure-test strategies and act with greater confidence before consequences unfold.
