California-based Virtualitics has rolled out Iris, a platform built to streamline how defense organizations and government agencies interact with readiness data.
Drawing on years of collaboration with the US Department of Defense, Iris blends generative AI with specialized readiness AI agents in a single interface. Operators can ask questions in plain language and receive contextual insights in real time.
The agents, designed with mission awareness and institutional knowledge, sift through data, surface critical findings, and guide users through next steps in the decision process.
This approach reportedly shortens response times, improves communication across chains of command, and boosts confidence in high-stakes decision-making.
“Readiness is a data rich domain but with a complex decision space,” said Aakash Indurkhya, VP of Product at Virtualitics.
“Teams generating and managing force readiness need a tool to cut through the complexity in data and analytics and create more space to reach consensus on decisions.”
How It Works
Iris shifts the user experience from traditional analytics dashboards to a more direct and operationally aligned environment.
Its mission-tuned AI agents are trained to parse readiness data in context, accounting for real-world constraints and institutional demands.
The generative AI interface allows operators to query systems in natural language, while large language models convert those requests into structured analysis.
Outputs are then tailored to the level of detail needed at various points in the command chain, reducing delays and miscommunication.
Beyond Readiness
Though designed for defense, Iris can also be applied in other high-stakes settings where decisions must be fast, precise, and accountable.
Governance protocols remain embedded throughout, ensuring transparency and keeping human authority firmly in the loop.
