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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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Software Tools for Scalable Quantum Validation and Verification
SBC: SC SOLUTIONS, INC. Topic: A18BT011In this Small Business Technology Transfer (STTR) Phase I project, SC Solutions, teaming with Sandia National Laboratories (SNL), will demonstrate the feasibility of a scalable Quantum Computing Validation & Verification (QCVV) tool that will allow quantum computing researchers to rapidly and conveniently test and benchmark their quantum computing systems. While several QCVV techniques have been d ...
STTR Phase I 2019 Department of DefenseArmy -
A Long-Term Anti-Malaria Drug-Releasing Implant
SBC: TRITON SYSTEMS, INC. Topic: A18BT022The U.S. Army routinely deploys personnel in malaria-endemic regions as part of normal operations. Preventative measures to malaria infection include a highly-effective daily oral prophylactic antibiotic which is provided to personnel prior to deployment. However, due to side effects including nausea and photosensitivity coupled with organizational culture, poor adherence to the prescribed regimen ...
STTR Phase I 2019 Department of DefenseArmy -
Optimization based expanded dictionary adaptive antenna array modeling for far field low frequency propagation
SBC: Intelligent Automation, Inc. Topic: A18BT009Leveraging existing multi-frequency antenna arrays for purposes they were not originally designed would greatly improve the benefits of such systems. For example, the use of arrays of small antennas with novel waveforms may produce low frequency signals in the far field that are not possible using single antennas and classical waveforms. In particular, we propose to investigate the formation of lo ...
STTR Phase I 2019 Department of DefenseArmy -
Design of Easy-To-Use Structural Alloy Feedstocks for Additive Manufacturing
SBC: ELEMENTUM 3D, INC. Topic: A18BT003There is a need for easy-to-use, versatile alloys for additive manufacturing that print consistently regardless of the specific process or machine, or the metallurgical and manufacturing knowledge of the user. Such capability is especially critical for soldiers to be able to make every day items on demand in the theater of war. Toward meeting this need, recent successes developing high performance ...
STTR Phase I 2019 Department of DefenseArmy -
Carbon Nanotube Based Monolithic Millimeter-wave Integrated Circuits
SBC: ATOM INC Topic: A18BT004In this project, we propose to develop a high-performance carbon nanotube (CNT) based millimeter-wave transistor technology and demonstrate monolithic millimeter-wave integrated circuits (MMICs) based on this technology with improved power efficiency, linearity, noise and dynamic range performance over existing GaAs, SiGe and RF-CMOS technologies. The goal of this topic is to leverage Professor St ...
STTR Phase I 2019 Department of DefenseArmy -
RAfFLES: Ransomware-Aware Flash-basEd Storage
SBC: Intelligent Automation, Inc. Topic: A18BT010Ransomware is an international crime operation that strikes commercial, public and government organizations. It is estimated that ransomware has cost nearly $5 billion in damages worldwide in 2017 alone, and if left unmitigated, by 2019 will hit an enterprise every 14 seconds causing a projected total loss of $11.5 billion. The IAI team proposes to take advantage of the intrinsic flash properties ...
STTR Phase I 2019 Department of DefenseArmy -
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 -
Adaptive Distributed Allocation of Probabilistic Tasks (ADAPT)
SBC: APTIMA INC Topic: A18BT007Logistic operations for all branches of the military have historically been a guessing game relying on the intuition and past experience of the responsible officials. Unfortunately, this strategy often means that resources are deployed prematurely to areas that do not have an immediate need, thereby denying those assets to other areas that could have used them immediately. Worse, resources can als ...
STTR Phase I 2019 Department of DefenseArmy -
BioSENSE, for identification of allosteric transcription factor biosensors
SBC: SYNVITROBIO, INC. Topic: A18BT016There is a need to develop affordable and specific biosensors to defend against current and future biological threats. Biological methods of detection have been evolved by nature to detect molecules at the micro-scale with flexible specificity and with downstream effectors. Advances in cell-free technology allow for deployment of biosensors on pH-strip-type paper, an affordable, robust, disposable ...
STTR Phase I 2019 Department of DefenseArmy -
DRAGONS – Dynamic Resource Allocation Gains for Operational Networked Sharing
SBC: Intelligent Automation, Inc. Topic: A18BT007Sharing platforms have already transformed some sectors of civilian logistics, promoting the efficient utilization of resources, such as cars and bicycles. Sharing resources is particularly desirable when those resources are costly, and high utilization is critical, characteristics often observed in military settings. In order to address specific constraints imposed by military applications on res ...
STTR Phase I 2019 Department of DefenseArmy