Active Government Funding Opportunities

This RFP seeks a low-power, mission-aware semantic communication system for small unmanned aircraft that intelligently compresses ISR sensor data by 100x while preserving decision-relevant context. The system must understand operator intent, reason across spatial and temporal patterns, and transmit only essential information over severely constrained tactical communications links.

The Army is seeking innovative technologies in sensors, AI/ML, immersive wearables, and contested logistics to gain disruptive advantages in military operations. Small businesses can compete through xTech|Search 10 to potentially qualify for subsequent SBIR funding.

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.

TAPPAS seeks compact, lightweight sensing technology for satellites that enables real-time threat detection and space domain awareness. The payload combines onboard processing with local situational assessment to support self-protection and shared tactical awareness across contested space environments.

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 Navy seeks a maritime-qualified mixed reality wearable interface to deliver real-time command-and-control data fusion from multi-domain sensors to dispersed naval operators. The system must integrate JADC2 intelligence with spatial anchoring, laser-safe optics, and ruggedized durability for test range and autonomous swarm operations in challenging maritime environments.

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 Phase II SBIR seeks an automated, species-agnostic cell culture platform that rapidly establishes reproducible cell lines from non-model organisms—compressing years of manual optimization into weeks. The platform will enable faster gene-drive research and genetic-biocontrol development across diverse vertebrate and invertebrate species.

This RFP seeks an open-architecture software and hardware toolkit to rapidly modernize legacy aircraft by delivering processed sensor data to operators in real-time. The solution bypasses slow manual processes to improve pilot situational awareness and accelerate fielding of next-generation capabilities while maintaining airworthiness standards.

The Army is seeking innovative small businesses developing sensors, AI/ML, immersive technologies, or contested logistics solutions that provide disruptive advantages for military operations. Selected finalists from this competition will be eligible to submit SBIR or STTR proposals addressing critical Army priorities.

DTRA seeks innovative detection methods using existing military and commercial sensors to identify weapons of mass destruction and related threats. This approach aims to reduce development costs and timelines by repurposing standard equipment like cameras and microphones already deployed across military platforms and consumer devices.

This RFP seeks a modular weapons integration architecture for F-16 aircraft that dramatically accelerates munitions integration timelines. The solution will streamline legacy software processes to enable rapid deployment of new weapons and software updates, addressing critical capability gaps against evolving threats.

This RFP seeks development of a multi-core parallel processing sensor fusion architecture to eliminate data loss and reduce latency in target tracking for manned and autonomous systems. The modular, platform-agnostic design must integrate multiple sensor types while maintaining real-time performance and compatibility with fifth-generation platforms.

This RFP seeks to adapt autonomous drone swarm technology with AI-driven control software to enhance self-protection and security for military aircraft and forward operating bases. Vendors should propose integrated systems demonstrating secure communications, high-altitude deployment, and autonomous ground-based perimeter defense capabilities.

This RFP seeks advanced signal processing technology to protect GPS systems from jamming and spoofing threats. The solution combines machine learning and stochastic resonance principles to enhance weak GPS signals while filtering adversarial interference for military and commercial operations.

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 an advanced interference canceller unit for aircraft CNI systems to maintain secure communications across 120+ nautical miles in high-interference environments. The technology must support frequency-hopping TDMA data links while handling high-power UHF transmit and receive signals simultaneously.

This RFP seeks compact, low-noise mode-locked semiconductor lasers operating at 6-12 GHz with picosecond pulses and 50+ mW power. The technology bridges optical and microwave domains for photonics applications, addressing the current lack of commercially available stabilized lasers in this performance range.

The Space Force seeks mature autonomous on-orbit logistics technologies to enable satellite servicing, refueling, and repair as routine operations. Proposers can emphasize either system-wide integration or a specific logistics function, demonstrating how their solution enhances resilience and operational freedom in contested space environments.

Seeking an open-architecture autonomous underwater vehicle platform that enables rapid payload adaptation and multi-vehicle collaboration while reducing downtime. The system must deliver reliable deep-water operations with AI-driven mission planning and automated data sharing to support defense, commercial, and scientific missions at scale.

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.

This RFP seeks development of an affordable multi-function Ku-band radar system for high-speed airborne platforms, addressing the current shortage of cost-effective options at scale. The system must integrate imaging radar, passive direction-finding, and fuze sensing within a compact 6-inch diameter configuration while meeting demanding thermal and performance specifications.

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 to validate additive manufacturing technologies for flexible electronics and advanced packaging to reduce costs and lead times in high-mix, low-volume production. The effort aims to establish reliability data for 3D-printed substrates and interconnects as viable alternatives to traditional manufacturing methods for Department of War microelectronic systems.

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.