The Social AI Platform

Digital Transformation with Information Digital Twins

How to get there? 

... use Information Digital Twins!

The Social AI Platform uses a new type of digital twins - the Information Digital Twin (IDT) - to enable public and commercial organizations to automate complex people-based scenarios and decisions.


Simultaneously, the Social AI Platform enables people to automate their complex social and professional transactions according to their personal preferences, lifestyle and objectives.

The Social AI Platform is not just a solution, rather, It's a technology framework to manage and automate many types of processes involving people, machines, and organizations.

The Social AI Platform places the active agent of a scenario - whether human or machine - at the center of all decisions. As a result, process coordination and optimization reflect each agent's unique choices and preferences, which is critical for achieving adaptation and social resilience.

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Information digital twin (IDT)

Healthcare Digital Twins

How patient-specific digital twins, Patient Human Digital Twin (HDT), can reduce the risks of ICU patients by continuously monitoring them predicting potential critical events, and alerting medical personnel.


The critical events predictions provide the medical staff with sufficient time to further examine the unfolding situation and mitigate potential risks, thus improving treatment effectiveness and reducing patients' risks.  

The Patient HDT can be provided as a service to patients to keep monitoring their risks even after they leave the hospital.

Wellbeing Digital Twins

How a personal digital twins (the TwinUp app) can reduce children's risk of abuse by monitoring their social interactions, predicting potential abuse events, alerting them to change their behavior, or involving their caregivers to intervene and mitigate an abuse event before it happens, thereby reducing abuse in a community and ensuring children's safety. 

The TwinUp creates a digital safety network for its users that links them with people they trust so they may get support whenever needed.

Because the TwinUp can predict a wide range of events, it can assist individuals in avoiding undesired encounters and ensure their safety.

SC Digital Twins

How a Shipment Digital Twin (DT) monitors a shipment's progress through the supply chain, predicting shipment-specific delays, and alerting operators with mitigation options to minimize delays and ensuring delivery timeframes and costs.

The Shipment DT is a virtual instance that is terminated after the shipment has been completed. However, the predictions and risk assessments from several Shipment DTs are aggregated to improve SC-level predictions for events like delays or costs

Shipment DTs may be selectively aggregated to create Container DTs, Vessel DTs, or complete SC DTs.


Human-Machine Digital Twins

How to use a combination of Human and Information Digital Twins to coordinate complex human-machine interactions toward a common goal. Each digital twin keeps track of its user interactions, whether human or machine, predicts deviations from task objectives, and alerts their user or other team members so they can alter their actions accordingly, resulting in better overall team collaboration and goal achievement. 

Over time, the models of the various digital twins may be combined seamlessly to define more general, role-specific data-based models (e.g., driver, pilot, or operator.) Such models are then used to establish trust between humans and machines and automate their complex interactions. 

Why is the Social AI Platform Different? 

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Based on a Reference Model

The platform's defining characteristic is its use of a central model from which all linked digital twins are primed and into which they all update their predictions, so enabling a collective intelligence

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Universal Use Cases

The platform is capable of managing and automating a wide range of complex scenarios, regardless of domain

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Users Driven

The platform learns from its users. Each action or choice made by a user affects the information used by all other users, resulting in significantly faster learning and adaptation to changes 

The Social AI Platform's central component is a universal type of digital twins, the Information Digital Twin (IDT).

The IDT enables its user to predict their environment, and-if desired-be predictable by others around them, which is the basis for effective collaboration and automation.

Human digital integration

The IDT learns its user preferences and automates some of their digital interactions. Thus, the IDT significantly boosts individuals' capacity to connect with society while freeing more of their attention to focus on their personal wellbeing.  

Depending on the domain or use case, the Information Digital Twin (IDT) can be deployed as a mobile or desktop application that connects people to the platform, in which case it is referred to as a Human Digital Twin (HDT).


The IDT can also be deployed as a standalone device equipped with sensors and actuators to integrate robots or other types of agents into the platform (read more!).