Development of physiological signal datasets for AI/ML training in wearable device research. Supports FDA evaluation and validation of machine learning algorithms for medical devices.
Market research for ABS Wavesight software customization and sustainment services supporting Military Sealift Command HR solutions. Requires vendor partnership or authorized developer status with ABS Wavesight.
Sole-source procurement of Real Time Innovations (RTI) software licenses for naval surface warfare systems. Existing assets require RTI software; alternative manufacturers' software incompatible with fielded applications.
DoD seeks industry partners to prototype a secure framework extending the UAS Marketplace to allied nations, enabling rapid access to cutting-edge drone technology and strengthening coalition interoperability at the speed required by modern warfare.
This RFP seeks a room-temperature photon-number-resolution sensor array capable of detecting multiple simultaneous photons at GHz rates with megapixel scalability. The technology addresses quantum imaging and environmental sensing applications requiring precise photon counting while processing extreme data rates without loss.
DTRA seeks advanced prototype modeling and validation capabilities for non-ideal nuclear airblast effects on military systems and infrastructure. The effort will integrate modernized simulation methods, full-scale testing workflows, and operational survivability assessment to improve predictive accuracy under realistic complex conditions.
This RFP seeks development of an Asymmetric Spatial Heterodyne interferometer spectrometer that simultaneously achieves large light-gathering capacity and ultra-high spectral resolution—solving a critical instrumentation gap for quantum communication systems, quantum sensing, and advanced remote sensing applications operating across 400–1600 nm wavelengths.
This RFP seeks a room-temperature photon-number-resolution imaging sensor array capable of detecting individual photons at gigahertz rates with minimal data loss. The technology will enable advanced quantum imaging and time-correlated photon measurements across megapixel arrays while maintaining scalability and real-time on-chip data compression.
VA seeks discovery and disclosure platform for unified information management. Request for Information to identify potential technology solutions for healthcare data integration.
Platform One Solutions Marketplace open call for innovative DoD software solutions enabling rapid, secure delivery with accelerated timelines and emerging technology integration.
Procurement of a mammography reporting system for St. Louis VAMC. This is a standard equipment/software acquisition for medical imaging reporting capabilities at a VA facility.
DoD seeks a Government-Owned/Contractor-Operated integration facility where multiple vendors and military services can simultaneously develop joint capabilities without IP conflicts. The neutral commons accelerates multi-vendor system integration and technology fielding by eliminating structural integration barriers.
The xTech|Phantum competition seeks innovative quantum sensors, quantum clocks, and photonic technologies to enhance Army position, navigation, timing, and communications capabilities while reducing dependence on GPS and improving performance in contested environments. Winners will be eligible to submit SBIR proposals under four specialized quantum and photonics topics.
This RFP seeks integrated quantum sensor components with minimal size, weight, and power requirements for vehicle and platform deployment. The effort aims to transition custom quantum sensing solutions toward standardized, commercially viable COTS components that reduce costs and expand dual-use market applications.
The Air Force seeks integrated prototype solutions combining expeditionary training environments, human performance optimization, and digital technologies to modernize Basic Military Training. Solutions must demonstrate measurable improvements in warfighter readiness and instructor effectiveness across a unified training ecosystem.
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.
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.
This RFP seeks foundation-model-based systems for collaborative target recognition across multi-domain unmanned platforms. The solution must enable cross-platform target disambiguation and sensor fusion to replace manual, error-prone coordination processes in degraded operational environments.
This RFP seeks development of affordable infrared lens technology using salt-based optical materials to reduce thermal camera costs for unmanned drone systems. The challenge is engineering moisture-resistant coatings for these naturally hygroscopic materials to enable field deployment while maintaining cost advantages over traditional military infrared optics.
This RFP seeks compact, high-speed nanophotonic spatial light modulators to enable advanced wavefront control for adaptive optics applications. Current technologies like liquid crystal and MEMS devices are limited by slow response times, hindering adoption of LiDAR, free-space communications, and quantum sensing systems.
This RFP seeks tunable metasurface devices that perform analog optical edge detection and image processing directly within thermal-imaging systems. The innovation reduces computational load and latency by shifting feature extraction from digital post-processing to the optical front-end using practical, scalable mid-wave infrared materials.
Adaptive AI-driven waveform design for radar systems that autonomously optimize transmit parameters to counter electronic attack and interference in contested environments. The solution uses deep reinforcement learning to enable real-time waveform adaptation on edge-computing hardware while maintaining strict power and size constraints.
This RFP seeks a software-defined radio system offering multi-band operation across S, X, and Ka frequencies to replace existing interceptor communications equipment. The SDR must provide rapid frequency hopping, adaptive frequency selection, and simultaneous ground-space connectivity while operating reliably in austere flight environments.