# How Missile Defense Agency uses C3 AI

**99%**: “99% reduction in the time to generate threat data, from weeks to minutes”

As published on [c3.ai](https://c3.ai/customers/enterprise-ai-for-missile-defense-modeling-and-simulation). Captured by usedby on 2026-10-08.

- Company: [Missile Defense Agency](https://www.usedby.ai/companies/missile-defense-agency.md)
- Tool: [C3 AI](https://www.usedby.ai/tools/c3-ai.md)

## What the story says

The Missile Defense Agency works with C3 AI to deploy the C3 Agentic AI Platform and a parametric threat generative modeling application in its secure, classified environment. The goal is to rapidly generate large volumes of threat missile data for modeling and simulation where such data is scarce.

Summary written by usedby from the source page, in English. The figures are those of C3 AI and Missile Defense Agency, not ours.

> With this capability, agency personnel will be able to rapidly generate large threat data packages in data-starved environments for a broad spectrum of missile defense technology initiatives.

- **1000x**: “1000x increase in the available threat data for a given scenario”
- **26 Billion**: “26 Billion data points used to train and generate threat kinematic ML model”

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 99% is printed word for word on the page, near the name of Missile Defense Agency.
- Checked: the passage quoted above is copied word for word from the page, near the name of Missile Defense Agency.
- Checked: each number in our summary is printed on the page.
- Checked: Missile Defense Agency uses C3 AI. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/missile-defense-agency-c3-ai · How we check: https://www.usedby.ai/methodology