Active Government Funding Opportunities

The Air Force seeks low-cost kinetic defeat systems to neutralize small unmanned aircraft threats at under $6,000 per engagement. Solutions must feature autonomous guidance, GPS-denied operation, and multi-target capability to address the cost-inefficiency of current interceptors against commercial drone swarms.

This RFP seeks innovative commercial sensing and analytics solutions to deliver real-time tactical surveillance, reconnaissance, and tracking capabilities for military operators. The effort aims to close gaps in operational responsiveness by rapidly integrating commercially available space and ground-based insights with advanced data processing and fusion technologies.

This RFP seeks a software-defined flight antenna enabling secure, high-speed communications between interceptor missiles in contested environments. The system must support multiple simultaneous beams, frequency hopping, and operate across S+ to Ka bands while fitting within a 10-inch diameter constraint.

NAVAIR and NAVSEA seek innovative counter-UAS technologies to defend Navy assets against the proliferating drone threat. Solutions should detect, track, and neutralize single or swarming unmanned systems using AI/ML, non-kinetic defeat systems, or adaptive threat recognition across air, sea, and ground platforms.

The Navy seeks a dual-band SAR system combining X-band with S-band or C-band to enhance maritime surveillance capabilities. This solution expands ocean coverage, improves target detection across varying conditions, and reduces operational costs compared to current search and tracking methods.

The Navy seeks an AI-powered maritime tracking system to automate processing of sensor data from diverse sources and predict object movements across global waters. This solution must prioritize threats, detect pattern deviations, and scale efficiently as new sensors integrate—transforming manual, overwhelmed operations into proactive domain awareness.

This RFP seeks AI-enabled autonomy software that generates game-theoretically optimized courses of action for coordinating UAS swarms in contested, degraded environments. The system must scale to 200+ aircraft, incorporate adversarial reasoning, and support decentralized decision-making for maritime and air defense operations.

This RFP seeks statistical analysis of historical radiation data to develop predictive models for space system performance, enabling the Department of War to reduce costly radiation testing requirements while maintaining system survivability in space environments.

The Navy seeks an adaptive algorithm that automatically optimizes sensor resource allocation across ship defense radar systems. The solution must dynamically identify which sensors contribute most to tracking threats and redirect underutilized sensor capacity to improve overall combat system situational awareness and engagement readiness.

This SBIR seeks AI/ML solutions to automate the Air Force Judge Advocate's labor-intensive legal and judicial workflows. The technology will streamline case intake, document processing, and decision-making to reduce delays by 50-70% and improve legal advisory delivery across military justice and interagency operations.

AFDW seeks an AI-driven cybersecurity platform integrating post-quantum cryptographic standards to defend against quantum computing threats. The solution will automate threat detection and risk scoring across legacy Air Force networks while ensuring seamless migration to quantum-resistant encryption.

The Marine Corps seeks an innovative portable long-range listening device capable of accurately capturing and recording sounds from 200 meters away to support intelligence collection operations. The system must weigh under 50 pounds, operate for 24 hours on battery power, and distinguish voices and environmental noise with high fidelity.

DLA seeks a dynamic digital twin platform integrating real-time workforce data and synthetic scenario modeling to optimize organizational processes and boost productivity. The solution enables rapid workforce planning, surge deployment testing, and AI integration analysis to enhance mission readiness against modern competitive threats.

DLA seeks an AI-powered tool to automate vendor economic dependency analysis across thousands of suppliers. The solution will integrate with government systems to flag high-risk relationships using public financial data and supply chain metrics, replacing manual, time-intensive processes.

This RFP seeks a new Patient Handling System (PHS) designed specifically for UH-60M aircraft to address a critical capability gap in the Army's MEDEVAC fleet. The system must fill the void created by reductions in other helicopter variants while supporting the goal of maintaining 446 operational MEDEVAC aircraft.

The Navy seeks an automated anomaly detection system that identifies potentially threatening maritime and air contacts hidden within congested shipping environments by analyzing pattern-of-life behaviors from AIS, ADS-B, and radar data. This capability would reduce operator workload and improve threat detection accuracy for Ship Self-Defense System platforms transiting high-traffic regions.

The Navy seeks a multi-vendor satellite imagery scheduling optimization platform that integrates commercial providers into a unified system to enhance maritime domain awareness. The solution must dynamically adapt to weather, prioritize time-critical tasking, and reduce reliance on single-source imagery while minimizing costs and redundant collections.

This RFP seeks event-based sensing hardware and neural network algorithms to enable independent, GPS-denied navigation for military vehicles and satellites. The technology must integrate with existing inertial systems, match GPS-level accuracy, and support real-time adaptive decision-making in dynamic environments.

DLA seeks non-lithium battery technology to replace supply-chain-vulnerable lithium-ion alternatives in military field operations. The solution must deliver safer, more transportable power for extreme environments while meeting domestic sourcing requirements and core performance standards.

The Navy seeks secure tasking technology for commercial satellites at classified levels (CUI/Secret), enabling weapons-quality targeting data while maintaining operational security. The solution must integrate encryption, secure protocols, and emerging technologies to reduce tasking time by 90% versus current 14-day cycles.

This RFP seeks a mid-wave infrared hyperspectral imager to characterize missile and thermal signatures for defense applications. The system must deliver high-resolution spatial and spectral data at rapid frame rates to support missile warning system development and hypersonic vehicle testing.

AFRL and SSC seek compact, space-qualified directed energy systems to overcome power limitations in orbital platforms. This technology enables efficient power beaming and dual-use applications like missile defense and debris remediation while reducing the weight penalties of traditional solar arrays and batteries.

USSOCOM seeks innovative stand-off detection technology to identify concealed threats—explosives, weapons, radiological materials—through barriers without sampling or active emissions. The feasibility study targets miniaturized, field-deployable systems for SOF missions including maritime operations, route clearance, and counter-air protection in GPS-denied environments.

USSOCOM and AFSOC are seeking AI-enabled technologies to enhance search, track, and target recognition capabilities for special operations aircraft like the AC-130J. The solution must automate sensor functions across EO/IR systems while maintaining open architecture compatibility across diverse platforms.

This RFP seeks an improved hydraulic heating system for the MHU-196 Weapons Trailer to restore reliable munitions-loading operations in cold-weather environments. The solution will address performance degradation caused by thickened hydraulic fluid, reducing downtime and maintenance costs while supporting critical sortie generation timelines.