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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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Handheld Hidden Chamber Detection
SBC: TIALINX, INC. Topic: SOCOM173004SOCOM requires rapid implementation and delivery of a handheld, automated hidden chamber sensor system to detect, locate, and discriminate hidden compartments. TiaLinxs Eagle-NC is a wall imager that operates as an ultra-wideband (UWB) radio frequency (RF) sensor integrated with advanced computer vision algorithms, state-of-the-art computer processor technologies, and has a fully integrated displa ...
SBIR Phase I 2018 Department of DefenseSpecial Operations Command -
SUAS Killer, Identifier, and Tracker
SBC: Physical Optics Corporation Topic: SOCOM173005To address USSOCOMs need for a system to detect, locate, track, and either disable and/or destroy a small unmanned aerial system (SUAS) from a distance, Physical Optics Corporation (POC) proposes to develop the new SUAS Killer, Identifier, and Tracker (SKEET) system. The SKEET system is based on a new design that combines state-of-the-art airspace monitoring technology utilizing compact scanning r ...
SBIR Phase I 2018 Department of DefenseSpecial Operations Command -
Counter UAS Weapon
SBC: Dev-Lock Systems, Inc. Topic: SOCOM173005AimLock will prototype and test an integrated system of its automated targeting (optical based remote weapon station) hard-kill system and a radar-based early warning and locator system from C-Speed (or similar) for rapid counter-UAS missions. This work will build upon AimLock's already demonstrated hard-kill capability and C-Speed's long range radar detection and classification by automating the ...
SBIR Phase I 2018 Department of DefenseSpecial Operations Command -
Feasibility Study for Development of a Military Tactical Spectacle with an Active Anti-fogging System
SBC: TDA RESEARCH, INC. Topic: SOCOM18003The military combat eye protection (MCEP) program is designed to protect our soldiers' eyes from the external threats of fragmentation, electromagnetic radiation, wind, dust, sand, etc. and greatly improve both safety and operational effectiveness. Goggles and spectacles on the Militarys authorized protective eyewear list (APEL), however, are only effective if the soldier is wearing them. Fogging ...
SBIR Phase I 2018 Department of DefenseSpecial Operations Command -
Advanced Radar Concepts For Small (Tier I/II) RPAs
SBC: IMSAR LLC Topic: AF112144Intelligence, Surveillance, and Reconnaissance (ISR) platforms play an increasingly important role in modern warfare.The goal of providing timely and actionable information to the warfighter can be greatly facilitated by the ability to simultaneously collect multiple types of sensor data.Imaging one target without losing track of another target can mean the difference between mission success and m ...
SBIR Phase II 2018 Department of DefenseSpecial Operations Command -
Tactical Sensor Data Processing, Exploitation, and Dissemination
SBC: TOYON RESEARCH CORPORATION Topic: SOCOM163008Toyon Research Corp. proposes the development, testing, and integration of an in-house automated 3D reconstruction and wide-area reconnaissance pipeline that provides Special Operations Forces (SOF) mission planners with the capability of automated high-resolution 3D model/scene generation from tactical sensor data and imagery. The proposed development will incorporate algorithms identied in the P ...
SBIR Phase II 2018 Department of DefenseSpecial Operations Command -
Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia
SBC: HVMN Inc. Topic: SOCOM17C001In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
Inhibiting Prolyl Hydroxylase to Mimic Natural Acclimatization to High Altitude to Improve Warfighter Performance at High Altitude
SBC: Research Logistics Company Topic: SOCOM17C001Acclimatization is the long-term adjustment that humans experience when exposed for weeks or months to high altitude. Acclimatization is important in this context because a warfighter who is acclimatized to high altitude is immune to high altitude illness, has superior work capacity, and has cognitive function approaching that found at sea level. In other words, the acclimatized warfighter is opti ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
Small Team Command, Control, Communications and Situational Awareness (C3SA), SOCOM08-001
SBC: CEEBUS TECHNOLOGIES, LLC Topic: SOCOM08001SOF combat swimmers have a need for the continuous monitoring of each others relative position while diving and for the capability of being able to communicate with each other to help establish a common operational picture (COP).The C3SA system was previously developed under SBIR Topic SOCOM08-001 thru the receipt of both Phase I and Phase II SBIR awards.The C3SA established a stand-alone network ...
STTR Phase II 2018 Department of DefenseSpecial Operations Command -
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery
SBC: TOYON RESEARCH CORPORATION Topic: 1On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency