Executive summary:
Cognitive hive AI (CHAI) implements Modular Open Systems Approach (MOSA) principles in AI deployment. While MOSA originated as a Department of Defense standard for weapon systems, its emphasis on modularity, defined interfaces, and component replaceability aligns perfectly with the needs of enterprise AI deployment. CHAI builds on MOSA's proven track record to create AI systems that are more configurable, secure, explainable, and maintainable than monolithic AI implementations.
At Talbot West, we specialize in implementing MOSA-compliant AI systems using the CHAI architecture. Our approach delivers the benefits of both MOSA and AI: enhanced security, clear upgrade paths, vendor independence, and improved oversight. Whether you need air-gapped deployment for defense applications or flexible scaling for enterprise use, CHAI provides a MOSA-aligned solution for your AI needs.
The Department of Defense mandates MOSA for major defense acquisition programs because the standard enables continuous adaptation to changing threats and technologies. MOSA's core principles—modularity, open standards, and defined interfaces—apply equally well to AI deployment:
CHAI implements MOSA principles and provides the following advantages over black-box, monolithic AI models:
MOSA alignment through CHAI delivers the following advantages.
We help organizations implement MOSA-compliant AI through a structured process:
Our feasibility studies uncover your core needs, and the best CHAI ensemble to meet those needs in the most efficient way.
A pilot project allows you to validate the ROI of the CHAI implementation without risking full deployment prematurely.
We go into full deployment after validating the CHAI system rigorously. Our stepwise approach allows our clients to commit resources incrementally.
If desired, Talbot West can provide ongoing support for a CHAI instance.
As pioneers of the CHAI paradigm, we understand how to implement MOSA principles in AI deployment. Our team can help you:
Contact us to discuss how CHAI can provide a MOSA-aligned solution for your AI needs
MOSA is a Department of Defense standard requiring modular design and open interfaces in defense systems. CHAI is an AI architecture that implements these MOSA principles. Think of MOSA as the blueprint and CHAI as the building. CHAI takes MOSA's proven approach to modularity and applies it to AI deployment.
Monolithic LLMs lack the flexibility, security, and governance capabilities that MOSA requires. They operate as black boxes, making them unsuitable for applications requiring clear decision trails or secure deployment. Additionally, large language models are limited in their capability. CHAI's modular architecture allows for air-gapped operation, transparent decision paths, diverse capability sets, and selective deployment.
CHAI implements MOSA's core requirements through modular design, standardized interfaces, and severable components. Each module can be independently updated or replaced, and all interfaces follow open standards. This enables the continuous adaptation and vendor independence that MOSA demands.
Yes. Unlike cloud-based AI systems, CHAI can operate entirely within air-gapped environments. Modules can be selectively isolated, and the system requires no external connections. This makes CHAI suitable for sensitive defense applications while maintaining MOSA compliance.
CHAI modules can operate independently on discrete tasks or collaborate on complex problems. They might analyze different aspects of the same data, challenge each other's conclusions, or work together to reach consensus. This flexibility allows for sophisticated problem-solving while maintaining MOSA's modular principles.
CHAI can incorporate diverse machine learning, AI, and IoT technologies: large language models, small language models, quantitative analysis engines, computer vision systems, knowledge graphs, sensors, and more. The modular architecture allows you to mix and match capabilities while maintaining MOSA compliance through standardized interfaces.
Following MOSA principles, individual CHAI modules can be updated or replaced without disrupting the entire system. This allows for continuous improvement and adaptation to new requirements while maintaining system stability and security.
CHAI's resource requirements can be tailored to available infrastructure. Unlike monolithic AI systems that demand significant computing power, CHAI activates only the modules needed for specific tasks.
Implementation time varies based on requirements and scope. We typically start with a feasibility study and pilot project to demonstrate MOSA compliance and value. Full deployment follows a structured process to ensure security, governance, and alignment with MOSA principles.
We pioneered the CHAI architecture specifically to meet MOSA requirements in AI deployment. Our deep understanding of MOSA principles and AI implementation allows us to deliver solutions that are secure, governable, and adaptable to changing needs.
Talbot West bridges the gap between AI developers and the average executive who's swamped by the rapidity of change. You don't need to be up to speed with RAG, know how to write an AI corporate governance framework, or be able to explain transformer architecture. That's what Talbot West is for.
