CBRNE — chemical, biological, radiological, nuclear, and explosive — response workflows combine extreme time pressure with extreme uncertainty. Zapata AI builds AI/ML tooling that helps the operator on scene decide faster without replacing the operator’s judgment.
Where AI actually helps in CBRNE
- Sensor fusion and triage: combining detector outputs (spectra, counts, environmentals) with contextual intelligence to narrow the hypothesis space before manual confirmation.
- Playbook selection: pulling the right response SOP, exclusion zone, and PPE posture given the current evidence — and updating the recommendation as new sensor data arrives.
- Reporting and chain of custody: structured capture of what the responder saw, when, and from which sensor, ready for the after-action record.
- Training and rehearsal: realistic scenario generation against doctrine, not generic language-model hallucinations.
Where AI should not lead
CBRNE decisions carry lives. We design for human-on-the-loop, explicit confidence levels, and clear uncertainty communication. The operator is always the authoritative decision-maker; AI narrows options, highlights anomalies, and keeps the reporting straight.
In ANIMAS
CBRNE is one of the named mission payloads ANIMAS supports — a sealed microservice bundle that can be loaded at the device without maintainer assistance. See the ANIMAS product page.