Department of Defense

DoD seeks to integrate advanced undersea modeling and simulation tools into AFSIM to enable physics-based analysis of ocean currents, acoustic propagation, and subsurface sensor detection—currently impossible with existing capabilities.

The Army seeks prototype radar technologies for counter-unmanned aerial systems with reduced size, weight, power, and cost. Solutions must detect and track threats in complex environments while integrating with fixed platforms, vehicles, and open-architecture Army systems.

Restore production of M825A1 seamless smoke canister tubing for 155mm artillery, surviving extreme launch conditions to deliver white phosphorus smoke beyond 20km. Develop advanced robotic welding methods to establish first article capability and scale to 50,000 units while improving manufacturing efficiency across Army munitions programs.

DoD seeks commercial solutions for autonomous drone swarms integrating 500+ UAS with edge AI, mesh networking, and real-time threat processing. The capability enables tactical forces to collapse decision cycles through decentralized intelligence in contested, communications-denied environments.

DoD is developing solar-powered stratospheric drones for persistent ISR operations above 55,000 feet. The technology aims to extend mission endurance to 24+ hours, enabling continuous surveillance in contested environments without refueling.

DoD seeks rapid prototyping of edge-based AI/ML ISR systems that deliver continuous threat warnings across maritime and land regions even when adversaries degrade connectivity. The solution must process sensor data onboard unmanned aircraft and near-edge nodes to close intelligence gaps in denied, low-bandwidth environments.

TSA seeks recurring technical support to identify, integrate, test, and evaluate security technologies across aviation and surface transportation. The effort establishes an evidence-based capability that accelerates requirements development and provides independent performance assessments to prevent terrorist threats.

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.

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.

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.

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 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.

The Navy seeks an adaptive Zero Trust data control system that verifies every user access request in real-time to protect critical combat data from unauthorized access. The solution must integrate advanced authentication, AI/ML threat detection, and micro-segmentation to reduce authentication time and unauthorized access risk while maintaining performance in degraded environments.