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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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Innovative 2D/3D Building, Asset, and Resource Tracking Visualization Tool
SBC: KUTTA TECHNOLOGIES, INC. Topic: N/AIn this proposal, Kutta capitalizes on existing DOD investments and its own 2D and 3D visualization tools, and leverages the world-renowned computer graphics department at Arizona State University (ASU). This prior work experience and knowledge allows the team to build a resource and asset tracking tool for incident commanders with powerful 2D and 3D visualization capabilities. Kutta and its prest ...
STTR Phase I 2006 Department of Homeland Security -
Adaptive camera to display mappings using computer vision
SBC: POLAR RAIN, INC. Topic: N/AThe video surveillance industry is experiencing dramatic change with the move from analog to digital video. Command centers need to have coordinated viewing of multiple camera feeds at one time, and the ability to switch automatically between feeds and display relevant patterns. Conventional security control rooms include a bank of monitors connected through a switch to an array of security camera ...
STTR Phase I 2006 Department of Homeland Security -
Production of Chemical Reagents for Prompt-Agent-Defeat Weapons
SBC: NALAS ENGINEERING SERVICES INC Topic: DTRA14B001The US DoD requires robust ways of neutralizing threats posed by hostile powers and terrorist organizations that may be in possession of dangerous weapons of mass destruction (WMDs). Unfortunately, the weapons currently available to the DoD do not offer a way for the WMD to be destroyed without risking the spread of that material throughout the area. The strategy for the defeat of biological weapo ...
STTR Phase I 2015 Department of DefenseDefense Threat Reduction Agency -
A Novel, Microscale, Distributable Sensor Technology for Ionizing Radiation
SBC: CFD RESEARCH CORPORATION Topic: DTRA14B004Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is critical to detect the proliferation of nuclear material. Critical challenges facing this objective include: (a) high sensitivity detection of signature emissions (e.g., gamma rays) from common radioactive isotopes behind shielding, and (b) cost-effe ...
STTR Phase I 2015 Department of DefenseDefense Threat Reduction Agency -
Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitions
SBC: MAKEL ENGINEERING, INC. Topic: DTRA16A001This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...
STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency -
Modular Pulse Charger and Laser Triggering System for Large-Scale EMP and HPM Applications
SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC. Topic: DTRA16A004For effective protection against EMP and HPM threats, it is important to understand the physics of the threats, and also to quantify the effects they have on electrical systems. EMP and HPM vulnerability testing requires delivery of high peak power and electric fields to distant targets. The most practical solution to simulate such environments is to develop a modular, optically-isolated MV-antenn ...
STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency -
Novel Mixed-mode TCAD-Commercial PDK Integrated Flow for Radiation Hardening By Design
SBC: CFD RESEARCH CORPORATION Topic: DTRA16A003Cost-effective application of advanced commercial electronics technologies in DoD space systems requires early development of radiation-hardened-by-design (RHBD) techniques, and use of simulations is critical to the efficiency of this process. CFDRC has developed an integrated, mixed-mode simulation approach allowing their NanoTCAD device physics simulator to interface with commercial circuit simu ...
STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency -
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 -
System for Nighttime and Low-Light Face Recognition
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: SOCOM18A001The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...
STTR Phase I 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