NOAA seeks proposals to test and scale harmful algal bloom control technologies, from promising early-stage solutions to proven approaches ready for large-scale field deployment in marine environments.
Build U.S.-Algerian partnerships in innovation, entrepreneurship, and AI to strengthen commercial ties and expand market access. Program targets young professionals and students through English language development and American business model training.
USGS seeks research to build advanced GeoAI-powered data systems for sharing hydrology and elevation information. This next-generation infrastructure will make environmental data more accessible and analytically useful for scientific and management applications.
Develop knowledge infrastructure and deploy agentic AI technology to enhance the Intelligent National Map, advancing GeoAI capabilities for authoritative geospatial data management and decision-support.
USGS seeks research to advance GeoAI-enabled automated landform mapping and improve geographic feature accuracy using lidar data. This work will enhance the Geographic Names Information System and expand knowledge graph capabilities for landscape analysis.
USGS seeks a CESU partner to field-test environmental DNA technology for detecting invasive Coconut Rhinoceros Beetle populations across Hawaiian Islands. Research will inform biosecurity and port monitoring programs through rigorous sampling and laboratory validation.
Improve INHABIT, a web-based invasive species habitat suitability tool, by integrating new features, refining watch lists, and enhancing uncertainty visualization. The enhanced tool will help federal and state land managers make better decisions on invasive species detection, prevention, and management.
USGS seeks university partners to model bison ecology and movement across Western national parks using GPS collar accelerometer data. Research will inform land managers on bison resource selection and habitat impacts to protect park resources.
The Navy seeks development of a UYK-43 computer emulator using COTS hardware and open-source code to enable land-based testing of Aegis Weapon System updates, since original systems are reserved for operational fleet use and no compatible commercial alternative exists.
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 Navy seeks innovative dual-band infrared camera technology combining extended short-wave and mid-wave imaging into a single focal plane array to reduce system size, weight, and cost while improving maritime surveillance performance and eliminating alignment issues between separate sensor channels.
The Navy seeks improved colloidal quantum dot nanocrystals for mid-wave infrared imaging sensors that can be directly deposited onto silicon substrates. This technology aims to reduce manufacturing costs and complexity by eliminating expensive hybrid bonding processes while achieving performance comparable to traditional infrared detectors.
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 novel anti-fouling coatings for submarine topsides that prevent marine growth without being slippery or toxic to crew. The solution must remain effective for 6-8 years, survive alternating wet/dry conditions, and withstand foot traffic while maintaining propulsion efficiency.
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 compact, high-speed data transmission device capable of transferring four terabytes of Ship Self-Defense System combat data across 5,000+ nautical miles in 60 seconds. This solution addresses delays in transmitting embarked platform performance data needed for timely system improvements and warfighter training.
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 a rapid assessment system to evaluate low back and neck impairment using objective, biopsychosocial metrics for military personnel. The solution addresses the high prevalence of spine disorders in Air Force critical roles by enabling early intervention and improving operational readiness.
NSF FINDERS FOUNDRY supports K-12 educators, technologists, and researchers collaborating to develop AI-integrated learning solutions and tools. Teams co-design evidence-based technologies addressing real challenges identified by students and educators to prepare the workforce for an AI-driven future.
The Air Force seeks a data-driven decision-support platform that integrates geographic, political, environmental, and security data to identify optimal global sites for terrestrial and maritime spaceport operations. This system will standardize site evaluation across multiple domains, enabling commanders to make informed strategic decisions for expanding resilient launch infrastructure.
The U.S. Space Force seeks a voice-enabled AI assistant for hands-free command and control of autonomous logistics vehicles in challenging environments. This edge-deployed solution must operate independently without cloud connectivity while functioning reliably in high-noise, contested settings where traditional graphical interfaces are impractical.
This RFP seeks scalable, wide-field-of-view electro-optical payloads to enhance space domain awareness in the geostationary belt. The technology would address current surveillance gaps by enabling persistent, autonomous monitoring of space objects with broader coverage and faster response times than existing systems.
AFOSR funds basic research across engineering, information science, and physical/biological sciences to develop novel capabilities supporting Air Force warfighting and peacekeeping operations. The program seeks transformative research from universities, industry, and government labs with potential to transition breakthroughs into operational Air Force systems.
This RFP seeks game-theoretic AI that generates superior military courses of action by computing Nash equilibria in large-scale strategic games. The solution must overcome current planning bottlenecks through interpretable, scalable algorithms operable on modest computing resources while outperforming expert human planners.
The Department of War seeks a secure, AI-powered SaaS platform capable of automating documentation workflows for classified materials up to TS/SCI. The solution will modernize manual processes for creating Security Classification Guides and compliance plans, reducing human error and accelerating decision-making across government operations.