Department of Defense

Accelerate translational research in Duchenne muscular dystrophy toward clinical applications. DoD supports advanced preclinical and clinical studies with flexible funding levels and partnership options to bridge promising discoveries into therapies.

Air Force seeks contractors to design and develop Sensor Agnostic Emulator & Trainer (SAET) for AF DCGS. Modular emulation platform simulates diverse sensor data for realistic training with DCGS Open Architecture integration.

Develop and test broadly applicable clinical technologies addressing urgent military health needs through translational research and early-phase clinical trials. Multi-PI teams will advance platform products that benefit Service Members, Veterans, and their families.

DoD seeks clinical trial research to advance treatment and management of military-relevant diseases. This peer-reviewed program funds trials from early-phase (Phase 0/1) through large-scale Phase 3 studies, with optional planning support for regulatory preparation.

This award supports collaborative neurofibromatosis research teams (2-3 PIs) combining complementary expertise to tackle central NF problems. Applicants must demonstrate preliminary data and synergistic approaches to advance understanding and treatment of neurofibromatosis.

DoD seeks innovative, high-risk neurofibromatosis research projects that explore groundbreaking concepts and challenge existing paradigms. This award supports hypothesis development and early-stage exploration to establish foundations for future scientific investigation.

DoD supports investigator-initiated neurofibromatosis research across all phases (excluding clinical trials) to advance understanding of NF disorders and improve patient care. Projects may leverage open science collaboration and qualified researcher partnerships to accelerate breakthroughs.

Support early-career researchers conducting innovative basic, translational, or clinical research on neurofibromatosis disorders. This Scholar Award develops the next generation of NF researchers within a collaborative academy environment with dedicated career mentorship.

The Navy seeks unified software solutions integrating multiple positioning, navigation, and timing data sources into a single decision-support interface. This addresses operator cognitive overload by consolidating fragmented systems into actionable insights for rapid decision-making in contested maritime environments.

NAVSEA seeks AI/ML technology to automatically convert legacy AEGIS Combat System documentation into Systems Modeling Language models, eliminating manual data entry and enabling rapid cyber assessment and system design updates without diverting capability development funding.

This RFP seeks an interpretable machine learning solution for automated RF signal classification and anomaly detection in contested spectrum environments. The capability must outperform manual SIGINT analysis while remaining computationally efficient, transparent to commanders, and scalable across tactical to operational military scenarios.

The Navy seeks a sound dampening material to replace aging lead septum foam in submarine electronic cabinets, requiring equivalent noise performance, 40+ year lifespan, and faster installation/replacement methods to minimize equipment downtime on COLUMBIA-class vessels.

This RFP seeks a portable, field-deployable method for applying electrolytic conversion coatings to repair corroded aerospace aluminum. The solution must provide depot-level corrosion protection in a simple, cost-effective touch-up system suitable for fleet maintenance operations.

This RFP seeks a portable digital metrology system to accurately measure defects on aircraft canopies and windscreens without removal. The solution must replace manual optical micrometers with an ergonomic tool capable of in-service measurements to determine repairability and prevent asset scrapping.

The Navy seeks a no-code toolkit leveraging AI and advanced 3D generation technologies to rapidly convert fleet data into photorealistic AR/MR training content. This addresses the current bottleneck of months-long development cycles, enabling instructors to create realistic, adaptive training scenarios in days while maintaining SME oversight and compatibility with existing Navy systems.

This RFP seeks intelligent human performance monitoring systems to proactively assess and optimize Naval aircrew readiness through real-time physiological and cognitive data analysis. The solution aims to help aeromedical officers prevent fatigue, injuries, and stress-related issues while enhancing mission safety and operational performance.

The Army seeks a high-throughput manufacturing process for achromatic infrared meta-optics—flat optical components that replace bulky traditional optics. This capability would enable compact, lightweight IR systems for military applications like UAV surveillance and portable thermal imaging while overcoming current production bottlenecks.

The Navy seeks an automated converter tool that transforms diverse technical manuals (PDFs, MIL-STD formats, S1000D versions) into standardized XML for IETM compatibility. This enables step-by-step maintenance instructions displayable on AR/XR devices while preserving original distribution and DFARS markings.

The Navy seeks an intelligent data analysis platform enabling non-technical personnel to easily connect, clean, and visualize diverse data sources through conversational interfaces. The solution must empower Fleet personnel to make data-driven operational decisions while maintaining transparent, auditable analytics and compliance with DoD security and ethical standards.

This RFP seeks automated weaponeering software that processes visual imagery to generate target models and calculate engagement probabilities in real-time. The compact, embeddable solution streamlines traditionally manual lethality assessment processes for tactical decision-making.

This STTR seeks a compact, user-friendly long-pulse laser system for airborne material ablation and penetration missions. The Navy-deliverable technology must achieve 10+ joule pulse energy at tunable repetition rates up to 40 kHz while maintaining robust thermal management during extended operations.

This SBIR seeks integrated multi-architecture AI systems inspired by the brain's neocortex, combining diverse neural networks to achieve superior computational efficiency and adaptability. The research addresses current AI limitations by reducing size, weight, and power consumption while enabling complex multi-modal processing for robotics, healthcare, and autonomous applications.

This RFP seeks monolithic integration of photonic and electronic circuits on a single chip to dramatically improve infrared imaging performance. The goal is to reduce power consumption and increase data transmission speeds for cryogenic detector systems while maintaining reliability in demanding environments.

SABER seeks algorithms that optimize communications and sensing in decentralized radar networks by processing data locally and transmitting only compressed features. This addresses the Joint Force's need to balance imaging fidelity with bandwidth constraints in distributed maritime operations.

This RFP seeks a desktop testing instrument to measure boresight error in infrared tracking systems across varying incident angles and temperature conditions. The device would enable cost-effective laboratory evaluation of protective window materials for interceptor vehicles operating in supersonic and hypersonic flight environments.