Active Government Funding Opportunities

The Navy seeks neuro-enhanced AI systems that integrate neural and physiological data collection with real-time analytics to optimize warfighter training and decision-making in manned-unmanned teaming environments. This capability will accelerate time-to-proficiency and readiness by embedding adaptive neurofeedback into live and simulated naval training.

This RFP seeks automated assessment and adaptive training software for fire support coordination simulation that tailors individual Marine training based on performance metrics. The solution addresses the need for objective, standardized skill evaluation without instructor support while preparing teams for collective operations.

This RFP seeks modular, field-configurable mechatronic vehicle kits to support first responder teams in disaster response. The solution must offer versatile, reconfigurable platforms that overcome current limitations in specialized equipment by enabling rapid customization for logistics, inspection, search and recovery missions.

This SBIR seeks AI/ML and digital twin tools to optimize additive manufacturing parameters and predict mechanical performance across the entire component lifecycle. The solution addresses rapid production of legacy parts by integrating material selection, build optimization, and performance prediction into a single, system-agnostic platform for Navy manufacturing.

This SBIR seeks malleable, cost-effective metastructures that protect maritime communications and radar systems while withstanding salt, UV, and water damage. The solution must offer broadband frequency selectivity across multiple bands, conform to complex geometries, and outperform current expensive, manufacturing-constrained alternatives.

This RFP seeks advanced overlay/bond coatings that resist hot corrosion in Navy marine gas turbine engines. The improved coatings must eliminate salt and sulfur-induced degradation in turbine blades to extend engine service life and reduce maintenance removal cycles.

This SBIR seeks an AI-powered navigation tool integrating satellite imagery, ship sensors, and ice forecasts to optimize Arctic route planning. The system addresses dangerous, manual ice navigation processes by providing automated 12-96 hour sea ice forecasts and tailored routing options based on vessel specifications.

This RFP seeks a lightweight dual-wavelength LiDAR and passive imaging system for Group 2 UAVs to rapidly characterize shallow coastal environments. The integrated solution addresses limitations of current single-sensor approaches by enabling real-time bathymetry, underwater target detection, and seafloor characterization in littoral zones.

This SBIR seeks machine learning solutions to enhance passive sonar tracking, classification, and localization for anti-submarine warfare systems. The effort aims to improve detection speed, tracking persistence, and target classification accuracy beyond current algorithmic capabilities.

This RFP seeks development of 3D heterogeneously integrated photonic imaging sensors that stack detector, readout electronics, and optical interconnect layers to overcome copper bandwidth limitations in advanced military EO/IR focal plane arrays. The solution enables concurrent wide field-of-view, high resolution, and ultra-high frame rate imaging through innovative vertical integration and cryogenic-compatible design.

This SBIR seeks regenerative AI-based agents for naval operations that monitor real-time tactical activities, detect anomalies, and autonomously adapt engagement strategies when unexpected events disrupt approved plans. The solution addresses vulnerabilities in human-dependent operational planning by leveraging multimodal intelligence data to maintain mission effectiveness against near-peer adversaries.

This SBIR seeks a wideband digital recording system capable of capturing high-volume sensor data at the tactical edge to support AI/ML algorithm development. The device must fit within compact rack space while meeting strict security and environmental standards for deployment on military platforms.

This SBIR seeks to develop robocasting technology for manufacturing large-format textured piezoelectric ceramic sensors with improved performance and lower production costs. The innovation addresses critical supply chain vulnerabilities in undersea sensor components while enabling performance enhancements for Navy sonar applications.

This SBIR seeks an auto-focus signal processing capability for sonar hydrophone arrays that automatically optimizes detection parameters—like focus range and frequency band—to identify maritime contacts with minimal operator workload. The innovation combines multiple processed data volumes to present operators with a single, high-confidence display containing the best signal representation across all detection scenarios.

The Navy seeks a portable, self-powered Underway Replenishment (UNREP) tester/trainer system to validate ship cargo and liquid transfer equipment without requiring pier space or availability of delivery ships. This mobile solution will reduce in-port testing delays while enabling fleet training on UNREP highline operations at various locations.

The Navy seeks a lightweight, corrosion-resistant beaching ramp system to replace heavy steel alternatives that degrade rapidly in saltwater environments. The solution must support 70-ton vehicle loads, deploy within 30 minutes, and maintain reliability over the 30-year ship lifecycle while operating in extreme marine conditions.

The Navy seeks light mitigation technology to reduce bridge lighting's negative effects on night vision and crew situational awareness during darkened operations. Solutions must comply with military human engineering standards and include adjustable work lights and display overlays that preserve crew safety without permanent modifications.

The Navy seeks superconducting magnetic energy storage (SMES) technology to rapidly store and discharge power for pulsed weapons systems aboard all-electric ships. This high-rate intermittent storage prevents electrical grid disruption and generator damage while supporting emerging naval combat loads.

The Navy is seeking VR software that enables engineers to virtually walk through DDG-51 destroyer CAD models for design reviews. This solution would reduce costly construction errors by allowing early detection of layout issues and supporting crew training before deployment.

The Navy seeks a compact, low-power maritime transceiver using non-RF technology to enable secure, covert communications between moving vehicles and autonomous systems. This addresses adversary detection capabilities by providing low intercept/detection probability communications over 5km+ ranges with high bandwidth and minimal size, weight, and power requirements.

This SBIR solicits nonlinear optical dyes embedded in sol-gel glass to protect military EO/IR sensors from frequency-agile lasers and dazzlers. The technology must rapidly switch from transparent to blocking states while maintaining ambient light transmission and surviving 10,000+ pulses without degradation.

This SBIR seeks a compact, battery-operated mid-wave infrared hyperspectral camera using photonic crystal integration to enable real-time video imaging of hard-to-detect targets. The innovation addresses current systems' bulk, slow frame rates, and power consumption by delivering 500+ spectral bands at video speeds for field reconnaissance and target detection.

SBIR seeks development of a domain-specific large language model to help military personnel rapidly extract insights from high-volume operational documents, communications, and tactical data. The standalone AI/NLP system must operate securely with full source attribution and traceability for classified environments.

The Navy is seeking an innovative, modular software-defined radio system optimized for minimal size, weight, and power to integrate across multiple aircraft platforms. The open-architecture design must support diverse communication waveforms while meeting strict security and electromagnetic compatibility standards.

This RFP seeks robotic systems to automate expeditionary airfield matting assembly, currently a manual and hazardous task performed by Marines. The solution should handle heavy mat manipulation on austere terrain while reducing personnel risk and improving operational readiness.