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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Low Cost W-Band Imaging Array
SBC: MILLIMETER WAVE SYSTEMS LLC Topic: CBD22BT001Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...
STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense -
Low Cost Imaging In The mm Wave Region Using Plasma Waves in High Mobility Transistor
SBC: BRIMROSE TECHNOLOGY CORP Topic: CBD22BT001In this work, we propose to develop low-cost, high sensitivity high electron mobility transistor-based W-band millimeter wave focal plane array/camera based on mature ternary III-V epitaxial materials of InAlAs on top of InP substrate. The plasma-wave detector uses well established mature technology of high electron mobility transistors which allows future integration and reduces cost. The detecto ...
STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense -
AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization
SBC: KRTKL INC. Topic: SOCOM23B001krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...
STTR Phase I 2023 Department of DefenseSpecial Operations Command -
AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization
SBC: PARRY LABS, LLC Topic: SOCOM23B001Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...
STTR Phase I 2023 Department of DefenseSpecial Operations Command -
AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization
SBC: Mente Systems Inc. Topic: SOCOM23B001Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...
STTR Phase I 2023 Department of DefenseSpecial Operations Command -
AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization
SBC: XR 2 LEAD LLC Topic: SOCOM23B001In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...
STTR Phase I 2023 Department of DefenseSpecial Operations Command -
Multi-Dimensional Event Sourcing & Correlation- Publicly Available Information (PAI) (MDESC-P)
SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC Topic: SOCOM22DST01Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
Population Behavioral Analysis at Scale, AOR Modeling
SBC: DEEP LABS INC Topic: SOCOM22DST01Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
RAZORFISH: Real-time Augmented ZYX-aligned Operator RF/EM Integrated Scene for Hypercognition
SBC: KNOWMADICS, INC. Topic: SOCOM22DST01As electronic warfare (EW) permeates down to the small unit operations (e.g., with the proliferation of IoT devices, 5G, demand for multidomain spectrum management, and adversaries who can leverage or attack these components with malice), there is a need to bolster Operator's shared situation awareness (SSA) of the EW space that overlays the physical battlefield to enable a small unit multidomain ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
sUAS Munition Teaming for Advanced Precision Strike
SBC: CHARLES RIVER ANALYTICS, INC. Topic: SOCOM21C001Precision-guided munitions have demonstrated dramatic effects with minimal collateral damage. New technology developed specifically to deny them accurate guidance information is now feasible, even for non-traditional adversaries. Further, digital communications are flooding the air with signals that interfere with communications many guidance methods rely on. Swarms of small, covert small Uncrewed ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command