Active Government Funding Opportunities

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.

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 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.

T3CP seeks innovative commercialization of government-funded patents across microelectronics, advanced materials, energetics, munitions, critical minerals, and biomanufacturing sectors. Proposals should develop prototype products with clear commercial relevance and credible dual-use transition pathways, excluding incremental improvements without viable market applications.

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.

This RFP seeks innovative ignition systems for multi-pulse solid propellant rocket motors that can ignite multiple times using the same hardware. The technology aims to reduce reliance on pyrotechnic initiators, lowering inadvertent ignition risks while enabling more flexible propellant utilization and system design.

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.

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.

Neuromorphic hardware processing enables the Missile Defense Agency to achieve low-latency, high-throughput distributed sensing and adaptive waveform generation for space and terrestrial defense systems. This technology supports real-time learning and autonomous adaptation in contested radio frequency environments.

The Missile Defense Agency is seeking miniaturized photonic and quantum technologies to enhance radar and communication systems with improved resilience and performance. Proposals should demonstrate low-power transceiver designs that integrate into modern sensor platforms while advancing common building block technologies for software-defined radios.

The Missile Defense Agency seeks to leverage existing power infrastructure with Very Large Array (VLA) technology to detect anomalies from unknown sources. This approach adds resilient detection layers to strengthen the Missile Defense System's overall capability.

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.

This RFP seeks advanced packaging techniques to combine high-performance commercial microelectronics with radiation-hardening capabilities, enabling Department of War and space systems to operate reliably in radiation-intensive environments while maintaining cutting-edge processing performance.

This SBIR topic seeks next-generation thermal batteries with improved energy density, power output, and miniaturization for missile defense interceptor systems. Enhanced batteries would simplify power architecture, reduce weight, and boost system performance compared to current multi-battery solutions used in platforms like the SM-3.

DARPA seeks non-volatile memory technology that reliably operates across extreme temperature ranges (-269°C to 600°C) and withstands high radiation environments. This capability addresses the "Memory Wall" bottleneck limiting high-performance computing for space, nuclear, and defense applications where current commercial memory solutions fail.

FALCON seeks to combine large language models with machine learning methods to provide domain-specific analysis of structured and unstructured data at scale. The program will develop architecture, evaluation metrics, and safeguards against hallucination while demonstrating practical application across enterprise and engineering datasets.

This SBIR seeks to develop automatic speech recognition and forecasting models that extract geopolitical early-warning signals from multilingual radio, local news, and community audio in data-sparse regions where conventional intelligence collection is limited. The approach combines online streaming ingestion with software-defined radio receivers to improve conflict prediction accuracy from roughly 80% to 90%.

The Navy seeks specialized waveguides designed to transmit RF signals reliably across X, Ku, K, and Ka frequency bands while withstanding extreme hypersonic temperatures exceeding 1,000°C. These high-precision components must maintain signal integrity and power transmission where traditional RF cables fail under severe thermal conditions.

This RFP seeks development of domestically produced plant-based carbon fiber precursors to reduce U.S. dependence on imported rayon fibers critical for hypersonic thermal protection systems. The effort requires establishing environmentally friendly production processes and proving new precursor materials meet performance standards for advanced aerospace applications.

This RFP seeks distributed AI algorithms enabling small UAS swarms to collaboratively defend areas against numerically superior enemy swarms through decentralized coordination and targeting. The solution must operate under 2 lbs compute payload and function in both permissive and denied communications environments.

This RFP seeks distributed AI algorithms enabling a small UAS swarm to collaboratively defend an area against numerically superior enemy swarms using decentralized decision-making and inter-drone communication. The solution must operate within strict weight constraints and function in both networked and denied communications environments.