Multi-Agent Architecture
The KAIS Platform™ employs specialized AI agents working together to transform sensor data into autonomous decisions. Each agent has a specific role—detection, processing, or decision-making—but they collaborate to achieve mission objectives without human intervention.
This distributed approach delivers resilience (no single point of failure), specialization (each agent optimized for its task), and explainability (every decision can be traced and audited). Federal agencies require transparent AI—our multi-agent architecture delivers accountability at every layer.
KEY COMPONENTS:
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Detection Agent: SACM algorithm for anomaly detection with multi-sensor validation
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Processing Agent: Perceptronic™ architecture with 40+ years aerospace heritage
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Decision Agent: Policy-driven engine with trustworthy AI guardrails
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Modular design: agents can be updated without redesigning entire system
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Explainable decisions: full audit trail for federal compliance
Why Multi-Agent Matters: Single AI models struggle with the complexity and reliability demands of autonomous edge operations. Our multi-agent approach distributes responsibility across specialized systems that collaborate—just like successful spacecraft missions require coordinated subsystems, not a single monolithic controller.