Unlock Decision Advantage and Advance Mission Outcomes

The Virtualitics GenAI Toolkit is a foundational extension of the Virtualitics AI Platform, designed to deploy secure, explainable, and mission-specific AI agents across defense environments. Built for readiness, logistics, and sustainment workflows, it enables rapid insight generation through Retrieval-Augmented Generation (RAG), containerized LLMs, and developer-ready interfaces. The toolkit empowers non-technical users and developers to build AI agents that surface critical information, reduce decision burden, and operate within secure, governed environments.

From Insights to Influence to Impact A new user experience designed to cut through complexity and deliver clarity for defense. Virtualitics Iris is purpose-built to help users consume insights faster and more effectively influence critical readiness decisions. This intuitive, GenAI-powered interface lets you ask questions in natural language, while specialized AI agents work behind the scenes to deliver relevant insights. The result: a collaborative, context-aware approach that lays the foundation for a new paradigm in data-driven decision-making.

Addressing Today's Challenges in the Decision Chain-of-Command For forging a frictionless future

• **Insight Consumption: **Quickly surface mission-critical information by cutting through complex analytics environments.
• **Decision Influence: **Present insights in the right mission context to accelerate alignment and decisive action.

Features

• Retrieval-Augmented Generation (RAG): Connects GenAI models to trusted data sources for grounded, context-aware responses.
• Containerized LLMs: Securely deploy large language models on approved systems, protecting sensitive mission data.
• Developer Interfaces: Easily integrate GenAI into existing applications with SDKs and APIs.
• Readiness Sigma (RSIG): Domain-specific summarization engine for rapid, explainable insights.
• Human-in-the-Loop Architecture: Ensures transparency, governance, and trust in AI-driven decision-making.