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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.

  1. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: Perceptronics Solutions, Inc.            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On 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
  3. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Functionalized, Therapeutic-Loaded Liposomes for the Acute Treatment of TBI

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: DHA18A001

    Traumatic brain injury is a common problem in both the military and civilian communities, but current treatment protocols are focused on managing symptoms and fail to prevent significant long-term repercussions. In the proposed program, Luna will demonstrate the feasibility of a liposome-based therapeutic delivery system capable of delivering hydrophilic and hydrophobic therapeutics to the traumat ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  5. Fast Parameter Identification for Personalized Pharmacokinetics

    SBC: AUTONOMOUS HEALTHCARE INC            Topic: DHP17B003

    Drug 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
  6. Computational Biology Platform Technology for Cellular Reprogramming

    SBC: IREPROGRAM, LLC            Topic: ST17C001

    Methods for interconversion between cell types (cellular reprogramming) are currently discovered through resource intensive trial and error. Experiments may test a multitude of transcription factors to identify correct combinations that influence cell fate. In addition, reprogramming approaches commonly use stem cell intermediates such as induced pluripotent stem cells (iPSCs), which are generated ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  7. Probabilistic Pharmacokinetic Models for Diagnosis, Prognosis, and Personalized Treatment

    SBC: BARRON ASSOCIATES, INC.            Topic: DHA17B003

    Clinicians have recognized that the nature of diseases can be highly individual resulting in different patterns of onset and progression. In turn, the response of an individual to drugs is also unique and governed by a variety of factors. Pharmacokinetic models represent the movement of a drug through the body, and personalized pharmacokinetic models aim to capture the unique responses of specific ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  8. Griffon Test Suite

    SBC: SOAR TECHNOLOGY INC            Topic: DHA17C001

    In this proposal we support the development of a hypoxia test battery by designing and developing a domain general tool suite for processing, synchronizing, and evaluating data from cognitive, behavioral, and physiological measures.The proposed Griffon Tool Suite addresses many of the practical requirements demanded by a flexible test battery. The effort falls into three major thrusts.First, we pr ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  9. Handoff Training for Combat Casualty Care (HTC3) Framework

    SBC: Perceptronics Solutions, Inc.            Topic: DHA17B001

    This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  10. Combat Casualty Handoff Automated Trainer (CCHAT)

    SBC: SOAR TECHNOLOGY INC            Topic: DHA17B001

    Combat casualty handoffs are critical communication moments during which responsibility for the patient and important casualty information is transferred between providers. The nature of these handoffs requires specialized training, for which no standardized framework currently exists. The proposed effort aims to develop a capability, compatible with current DoD systems, that provides caregivers w ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
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