RevolutionizingProductDevelopmentThroughAdvancedAIIntegration
NeoGen AI PDS combines the power of artificial intelligence with a cohesive digital engineering framework — integrating product information, financial data, program management insights, and PLM metrics into a single interoperable system built for enterprise scale.
A new methodology for modern product development
Unified Digital Engineering
Break down silos between product information, financial data, program management, and PLM metrics. NeoGen AI creates a single interoperable framework that keeps every data source in sync across the full development lifecycle — from concept through manufacturing.
Autonomous Systems Integration
Four years of research into autonomous vehicle capabilities, technologies, software, algorithms, controls, and performance — now embedded in a platform that accelerates development, demonstration, and assessment of complex autonomous systems.
Plug-and-Play Interoperability
A PnP interface that facilitates system-of-systems integration and mission thread interoperability across various platforms. Connect new components, tools, and data sources without disrupting existing workflows.
Virtual Simulation & World Modeling
3D gaming technology powering advanced virtual scene generation and world modeling — enriching simulation and analysis capabilities across the full system lifecycle.
AI-Enhanced Decision Intelligence
AI-enhanced integration techniques that streamline development through a unified system approach — enabling seamless end-to-end information flows from concept through testing to fully defined capabilities.
How NeoGen AI PDS works
The NeoGen AI PDS has been developed to leverage advances in AI for ease of use by professional engineers, product managers, and key decision-makers who require high-quality information from a single source to inform decisions.
Define Key Performance Parameters
Products in the system are defined by Key Performance Parameters (KPPs) to meet the goals required by the customer or user — establishing a precise, measurable foundation for every development decision.
AI-Driven Requirements Analysis
KPPs are analyzed using advanced AI algorithms and machine learning capabilities to identify the CAD/CAM, product lifecycle management, enterprise resource management, program management, and other software required to build the product.
Secure Workspace Establishment
A secure site is established so that work can begin organizing all the software, licensing, and other attributes required to engineer and manufacture your product — with every stakeholder working from the same authoritative source.
Digital-First Product Development
Products are developed digitally. This allows for testing, checking, modeling, simulation, and making changes before creating a physical prototype — eliminating costly late-stage rework.
Built on MB-MOSA. Designed for dual-use.
NeoGen AI PDS operates on the Model-Based Modular Open Systems Architecture (MB-MOSA) — initially built using the United States Army Ground Vehicle Reference Architecture (GVRA), a standardized blueprint for autonomous and robotic systems. The platform is now entering commercial phase, accelerating dual-use opportunities across government and private sectors.
Authoritative Source of Truth
Data and models are secure, trusted, and accessible throughout the entire product lifecycle — enhancing collaboration and eliminating the inconsistencies that arise when teams work from fragmented sources.
Technological Innovation
Seamlessly integrates siloed data at the point of use and accommodates distributed information within a federated ecosystem — leveraging AI and advanced data services to enhance engineering capabilities.
AI as Enabler, Not Decision-Maker
The application of AI manages intricate relationships within the reference architecture as an enabler. Decision-making authority remains with product managers, engineers, designers, and key stakeholders.
Formalized Model Usage
A structured approach to model use ensures all relevant stakeholders can effectively leverage models to make informed decisions — aligning outputs with strategic goals and fostering innovation across the development lifecycle.
NeoGen AI PDS is currently operating at Technical Readiness Level 6–7 and is strategically focused on achieving TRL 9 within the next 12 to 18 months. This transition is supported by comprehensive digital models covering PLM, CAD/CAM, product simulation, mission capability assessments, bill of materials management, sourcing, supply chain, and cost management.
The GVRP Project: four years of real-world validation
Launched in 2022, the Ground Vehicle Rapid Prototype (GVRP) Project demonstrated the digital engineering of a military Hybrid Electric Transport Vehicle (HETV) system — deploying four digital twins alongside two physical twin configurations to enable thorough testing and validation without the cost or time of physical prototyping. By 2025, the Army had developed and evaluated digital architecture for both Class 3 and Class 8 trucks.
Autonomous Vehicle Capabilities
Enhancements in the development, demonstration, and assessment of autonomous vehicle capabilities, technologies, software, algorithms, controls, and performance — validated through real-world HETV programs for Class 3 and Class 8 trucks.
Plug-and-Play System Integration
Introduction of a PnP interface that facilitates system-of-systems integration and mission thread interoperability across various vehicle platforms — eliminating the integration tax that slows complex programs.
Advanced Virtual World Modeling
Utilization of 3D gaming technology to foster advanced virtual scene generation and world modeling, enriching the simulation and analysis capabilities of complex systems throughout the development lifecycle.
Built to remove every barrier to adoption
Subject matter experts identified the cultural and organizational barriers that prevent enterprise teams from adopting new development systems — spanning decision makers, existing culture, existing mindset, and existing competency. The findings were unambiguous about what success required.
Extreme time and cost savings
Bring products to market faster and at lower cost — or teams will not change how they work.
User simplicity
No new screens, no steep learning curves, no additional places to manage. The system must fit how teams already operate.
AI-powered complexity handling
Artificial intelligence to support the full complexity of product development and user requirements — not just surface-level automation.
Single source of truth
One unified source of information across product, financial, program, and lifecycle data — eliminating the fragmentation that slows every enterprise.
The numbers that matter
Be First to Transform Your Product Development
In today's rapidly evolving market, efficiency and cost-effectiveness in product development have never been more critical. Join the waitlist and be among the first enterprise teams to build with NeoGen AI PDS.
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