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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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POC Blood Coagulopathy Monitor
SBC: CFD RESEARCH CORPORATION Topic: DHA19A001Traumatic injuries account for 30% of all life years lost in the US and is the leading cause of death for people under 46 years of age. Uncontrolled bleeding or hemorrhage constitute 30-40% of trauma related deaths and are considered to be a major cause o
STTR Phase I 2019 Department of DefenseDefense Health Agency -
CRANE: Cervical Readiness Using Analytics and Non-Invasive Evaluation
SBC: APTIMA INC Topic: DHA18B001Current cervical spine assessment methodologies are focused on subjective measures (i.e. pain reports) and range-of-motion (ROM) measures that only measure maximum head excursion and reach, but not dynamic motion. Due to report bias and existing incentive
STTR Phase I 2019 Department of DefenseDefense Health Agency -
Cervical Spine Health Improvement Products
SBC: SWITCHBOX INC Topic: DHA18B001Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he
STTR Phase I 2019 Department of DefenseDefense Health Agency -
Explainable Query Refinement for Human Machine Teaming
SBC: KITWARE INC Topic: SOCOM18B001The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...
STTR Phase I 2019 Department of DefenseSpecial Operations Command -
Novel Circulating RNA-based Markers as Diagnostic Biomarkers of Infectious Diseases
SBC: CFD RESEARCH CORPORATION Topic: CBD18A001In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens,whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial andalphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable and ...
STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense -
Brain Targeting Nanoparticle for Drug Delivery in Traumatic Brain Injury
SBC: WEINBERG MEDICAL PHYSICS, INC. Topic: DHA18A001There is an urgent need to bypass or cross the blood brain barrier (BBB) to deliver drugs for TBI treatment. This project aims to develop targted intranasally delivered, magnetically propulsed, and targted nanoparticles for traumatic brain injury (TBI). In Phase I, we will demonstrate the design, fabrication, and in vitro characterization of proposed drug laden magnetic nanoparticles as well as co ...
STTR Phase I 2018 Department of DefenseDefense Health Agency -
Fast Parameter Identification for Personalized Pharmacokinetics
SBC: AUTONOMOUS HEALTHCARE INC Topic: DHP17B003Drug dosingcan bemademore precise by using pharmacokineticand pharmacodynamicmodeling. Pharmacokinetics is thestudy of the concentration of drugs in tissueasafunction of timeand doseschedule,whereas pharmacodynamics is thestudy of therelationship between drugconcentration and drugeffect. By relating doseto resultant drugconcentration (pharmacokinetics)and concentration to effect (pharmacodynamics) ...
STTR Phase I 2018 Department of DefenseDefense Health Agency -
System for Nighttime and Low-Light Face Recognition
SBC: Systems & Technology Research LLC Topic: SOCOM18A001Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
System for Nighttime and Low-Light Face Recognition
SBC: MUKH Technologies LLC Topic: SOCOM18A001Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...
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