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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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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 -
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 -
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 crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...
STTR Phase II 2019 Department of DefenseDefense Threat Reduction Agency -
DOEYK: Detecting Objects with Enhanced YOLOv3 and Knowledge Graph
SBC: Intelligent Automation, Inc. Topic: DTRA19B002Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large amount of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...
STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency -
DOEYK: Detecting Objects with Enhanced YOLOv3 and Knowledge Graph
SBC: Intelligent Automation, Inc. Topic: DTRA19B002Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...
STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency -
Edge Quantum Processor
SBC: STREAMLINE AUTOMATION LLC Topic: SOCOM22DST01Quantum technology will become a key enabler of future Air Force superiority. Topological insulator (TI) qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum states. Wake Forest University and Streamline Automation have been working collaboratively for the last se ...
STTR Phase I 2022 Department of DefenseSpecial Operations Command -
Hierarchical, Layout-Aware, Radiation Effects Tools Vertically Integrated into an EDA Design Flow for Rad-Hard by Design
SBC: RELIABLE MICROSYSTEMS LLC Topic: DTRA16A003The goal of this workis to establish a radiation-aware capability in a commercial EDA design flow that will enable first-pass success in radiation resiliency for DoD ASIC designs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications.Such an integrated capability does not presently exist.The ...
STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency -
Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications
SBC: GENECAPTURE, INC. Topic: CBD15C001The modern warfighter faces the constant threat of endemic infections, multi-drug resistant bacteria and Biological Warfare Agents. In order to provide accurate front-line treatment that will curtail the overuse of antibiotics, a rapid and robust molecula
STTR Phase I 2016 Department of DefenseOffice for Chemical and Biological Defense -
Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point ofCare Applications
SBC: GENECAPTURE, INC. Topic: CBD15C001GeneCapture, Inc. is proposing to develop a rapid in vitro diagnostic prototype using our patented molecular-based CAPTURE (ConfirmActive Pathogens Through Unamplified RNA Expression) assay. Based on the results and experience gained in our Phase I STTR contractHDTRA1-16C-0061: Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications, we p ...
STTR Phase II 2018 Department of DefenseOffice for Chemical and Biological Defense -
Innovative Mitigation of Radiation Effects in Advanced Technology Nodes
SBC: RELIABLE MICROSYSTEMS LLC Topic: DTRA16A003Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...
STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency