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Casualty Stream Prediction & Medical Needs Modeling

Active
SBIR / STTR

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract opportunity with the Defense Advanced Research Projects Agency focuses on the mathematical and algorithmic development of a core prediction engine. The project involves creating automated prediction models for casualty streams and metrics-based evaluation systems designed to project lifesaving potential within disconnected, intermittent, and limited communication states. The successful provider will be responsible for delivering the back-end logic and core prediction algorithms, requiring specialized expertise in Advanced Computing, Autonomy, and Trusted AI. This is a Total Small Business Set-Aside under the SBIR/STTR mandate, restricted to firms with fewer than 500 employees. Eligible contractors must possess CMMC Level 2 self-certification. The solicitation was posted on September 2, 2026, with a response deadline of October 21, 2026.

General Info

DARPA small business subcontract for AI casualty prediction engine development by October 21, 2026.

Documents

This scope was carved out of DPA26BZ06-DV027.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

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Casualty Operations & Resource Prediction Software (CORPS)

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Organization & Contact Information

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AgencyDepartment of Defense → Defense Advanced Research Projects Agency
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs mathematical and algorithmic development of a core prediction engine for prime contractors on DARPA projects. Develops automated prediction models for casualty streams and metrics-based evaluation systems to project lifesaving potential in DDIL communication states. Requires expertise in Trusted AI, Autonomy, and Advanced Computing. CMMC Level 2 (Self) required. Delivers core prediction algorithms and back-end logic.

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