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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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Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel
SBC: VIBRANT CORP Topic: DLA15C001Vibrant Corporation and Sandia National Laboratories (SNL) propose to apply Process Compensated Resonance Testing (PCRT) to the DLA's need for an NDI method to detect counterfeit, nonconforming and improperly processed materiel. PCRT collects and analyzes the resonance frequencies of a component to detect structural defects, characterize material, analyze population variation, monitor manufacturin ...
STTR Phase I 2016 Department of DefenseDefense Logistics Agency -
Using Magnetic Levitation for Non-Destructive Detection of Defective and Counterfeit Materiel
SBC: Nano Terra, Inc. Topic: DLA15C001The introduction of substandard or counterfeit materials into the DoD supply chain can have extremely expensive, and potentially life threatening, consequences. Current techniques used to detect nonconforming materiel can be destructive (e.g., manual sectioning and inspection of a part), time consuming and expensive (e.g., micro-computed tomography, ultrasound), or provide only limited informatio ...
STTR Phase I 2016 Department of DefenseDefense Logistics Agency -
Human-Machine Teaming with Machine Learning Algorithms
SBC: KITWARE INC Topic: SOCOM18B001Characterizing and understanding the interactions between human and machine plays an important role in extracting the most out of our machine learning algorithms while reducing human workload. We propose to develop a software prototype system that reduces user workload of exploiting AI algorithms for imagery exploitation. We will design a user-friendly system for content matching with interactive ...
STTR Phase II 2020 Department of DefenseSpecial Operations Command