top of page
Lucid

AEGMIS: Adaptable Engine for Goods Movement and Intrusion Surveillance

AEGMIS

A set of powerful, context and analysis-based software capabilities and tools upon which specific supply chain solutions can be built.

AEGMIS: Adaptable Engine for Goods Movement and Intrusion Surveillance

Delivery Men
Cargo Ship at Sea
Cargo Plane
Freight Train
Semi-Trailers

Currently under development, when complete AEGMIS will significantly expedite the development of supply chain solutions offering secure multi-model, goods movement within both domestic as well as cross-border scenarios. Distinguished from existing systems, AEGMIS empowers its solutions with proven context-based, reasoning capabilities that continuously track and analyze shipment activities using embedded intelligence. The resulting AEGMIS-based solution offers an effective partner in addressing the increasingly time-sensitive and competitive supply chain logistics space.

Software Development Engine:  

AEGMIS is a business process-driven set of integrated capabilities intended to significantly accelerate the development of purpose-built software solutions for the supply chain logistics domain.

Information-Centric:  

With its virtual context model or ontology AEGMIS converts data (including GPS and sensor data) into meaningful information that is automatically processed by its reasoning engine.

Focus:

The information domain of AEGMIS encompasses supply chain information management, with a particular focus on security and efficiency. Its analysis engine is designed to identify supply chain vulnerabilities, provide critical information for disruption avoidance planning, and the near real-time detection of enroute shipment deviations, delays, and actual or potential security breaches.

Scope:

Within the domain of supply chain operations the scope of AEGMIS covers the validation of shipment integrity throughout the end-to-end shipment process, including: preparation of shipment documents; loading operations at the origin; in-transit tracking of shipments; identification and notification of anomalies; cross-docking in the case of multi-modal movements; crossing international borders; and, unloading operations at the destination. 

AEGMIS
Adaptable Engine
for Goods Movement
and Intrusion
Surveillance

Domestic
and
International

Extensible
System
Architecture

Secure
Shipment

Embedded Intelligence

Multi-
Model

Near 
Real-Time
Information

 

AEGMIS
CommPlus
Lucid

CommPlus: Interfacing Large Language Models (LLM)
with automated context-based symbolic reasoning

CommPlus:

Interfacing LLMs with automated

context-based symbolic reasoning.

 

Embedding the language-based

capabilities of LLMs in domain-

focused responsive user interfaces.

Students in Computer Class

Dual Objectives of the CommPlus Project:

  • To integrate the linguistic communication proficiency of LLMs with the semantic reasoning capabilities of expert agents.

  • To embed the language-based capabilities of LLMs in domain-focused 

       responsive user interfaces.

agiArchAdvisor

agiArchAdvisor: A highly collaborative App, with expert (AI-based) consultants that provide technical assistance in the earliest stages of building design.

'agiArchAdvisor' (stands for Artificial General Intelligence (AGI) Architecture (Arch) Advisor).
Thermal Environment
Solar
Energy
Systems
Daylighting
Electric
Lighting
Noise
Control
Acoustics

agiArchAdvisor is a virtual consulting platform with a suite of collaborative embedded AI-driven agents providing the designer with insights and analysis across key technical domains such as the thermal environment, solar energy systems, daylighting, electric lighting, noise control, and acoustics. agiArchAdvisor is based on the prototype Building Science Analyzer app that has been an internal CHOBU Group research project since 2021 and is available for free use at: www.buildingscience.info. 

Solar Panels_edited.jpg
Green Buildings
Lighting Design Consultation
Geometric Structure
Office with Triangle Windows

agiArchAdvisor Objectives:

  • To enhance the design decision-making process at the conceptual stage, leading to better-designed, energy efficient, and sustainable buildings.

  • To leverage advanced algorithms, machine learning, Large Language Model (LLM) technology, and a readily accessible knowledgebase to emulate a team of virtual consultants assisting the designer.

Special Features:

Intelligent Collaboration: With virtual intelligent consultants (agents) capable of both independent analysis and integrated advice in coordination with other agents.

                       

Sustainability Integration: With a focus on the creation of environmentally responsible design solutions that are integrated across multiple domains.

                       

Conversational Interface: Taking advantage of the language-based capabilities of LLMs to enable the designer to interact with the consultants in a fluid, conversational manner. 

bottom of page