Real Time Cyber Physical Systems Executing Solution

Overview

Data Analytics, AI & Cloud Hosting

Arlington, Virginia, United States; Edwards Air Force Base, California, United StatesPosted about 1 month agoDeadline: June 1st, 2026

Fit Score

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SUMMARY

The authority seeks providers for an integrated real-time cyber-physical system solution, combining AI-driven digital twins and test agents to enhance combat system development and testing.

KEY REQUIREMENTS

Must be a U.S. citizen or U.S. permanent resident (Green Card holder)
Must represent a U.S. company
Must have an active registration in the System for Award Management (SAM)
Must have a SAM Unique Entity ID (UEI)
Must be capable of receiving and storing Controlled Unclassified Information (CUI)
Must comply with export control laws and International Traffic in Arms Regulations (ITAR)
Must have a favorably adjudicated Tier 1 background investigation for HPC access
Must register in the Wide Area Work Flow (WAWF) system for invoicing

CONTRACT DURATION

30 months

TIMELINE

Release Date: February 25th, 2026

Industry Day: January 22nd, 2026

Abstract Questions Due: March 12th, 2026

Abstracts Due: April 1st, 2026

Oral Proposal Package Questions Due: May 14th, 2026

Oral Proposal Package Due: June 1st, 2026

Oral Presentations: June 2026

Estimated Period of Performance Start: First Quarter Fiscal Year 2027

QUESTION DEADLINE

March 12th, 2026

Issuing Agency

Defense Advanced Research Projects Agency

Organization overview and procurement intelligence available on paid plans.

See Issuer Research

DESCRIPTION

The government authority in Arlington, Virginia is seeking a vendor to provide a real-time cyber physical systems executing solution. The project focuses on the creation of real-time, physics-informed, uncertainty-aware, data-assimilating digital twins and AI agents, collectively forming a cyber–physical system referred to as CyPhER. The solution must be capable of seamless integration with a developmental combat system, with the aim of accelerating system testing and operational fielding by a factor of ten or more.

Key components include an AI Test Agent that reasons over the digital twin's stochastic predictions to determine safe, data-rich maneuvers for the system under test (SUT), as well as a Digital Twin (DT) component that generates predictions by assimilating data and utilizing high-fidelity physics models. The System Under Test (SUT) executes the prescribed maneuvers and generates data for further analysis. The intended outcome is a robust, agile system for faster, safer, and more efficient combat system development and deployment.

Source attribution

This Settle analysis is based on the issuing organization’s public RFP listing.