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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. SWAT- Scalable W(R)ubber through Advanced Technology

    SBC: EnergyEne Inc.            Topic: ST18C001

    Opportunity: Guayule, a US native plant, is the only alternate rubber crop with an established, mechanized, agronomic system. Problem: Low rubber yields and lack of effective resin and bagasse coproduct valorization, have prevented widespread adoption by American farmers and processors. Rubber is only made when the cytoplasmic monomer pool (isopentenyl-pyrophosphate; IPP) is larger than that requi ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. POC Blood Coagulopathy Monitor

    SBC: CFD RESEARCH CORPORATION            Topic: DHA19A001

    Traumatic 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
  3. Multi-Functional Nanotube-Based Sensor Array for Detecting Blood Coagulation Defects

    SBC: INNOSENSE CORPORATION            Topic: DHA19A001

    Defense Health Agency (DHA) is seeking a multi-functional diagnostic to determine blood coagulopathy in real time at point-of-care (POC). Blood coagulopathy, resulting in uncontrolled bleeding, is implicated in 80% of operating room deaths and 50% of trau

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  4. Machine Learning and Data Fusion platform for Phenotype-based Pathogen Identification

    SBC: TRITON SYSTEMS, INC.            Topic: ST18C002

    Conventional methods for detecting pathogens, which are based on culturing the microorganism, are time-consuming and laborious. Machine learning provides an alternative path to identify pathogens using supervised learning algorithms. Most current computational tools utilize genomic or protein data to identify bacteria. These methods look for features in the whole genome that correlate to pathogeni ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  5. PathEngine: A Platform To Automate the Integration of Data To Predict Pathogenic Potential

    SBC: NETRIAS, LLC            Topic: ST18C002

    New pathogens, both naturally occurring and adversary-engineered, are increasingly likely to emerge and represent a significant and growing risk to global health and security. These new threats often have limited genetic similarity to prior known pathogens and cannot be identified through standard genetic tests. The application of machine learning algorithms to phenotypic tests to predict pathogen ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  6. Pathogen Classification Tool (PaCT)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: ST18C002

    Stottler Henke proposes PaCT, leveraging our related past work in computer vision and machine learning. Drawing from techniques used in ExPATSS, a Phase II SBIR effort slated for transition to the Naval fleet, PaCT will perform bacterial characterization using features derived from the phenotype of the bacteria. PaCT will predict bacterial characteristics such as pathogenicity, antibiotic resistan ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  7. Station-keeping using Perception and Relative Image-based Navigation and Tracking (SPRINT)

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: ST18C006

    SSCI and MIT propose to perform initial design and testing of an innovative tightly-coupled vison and GNC system for follower vehicles to achieve safe approach and station-keeping with the lead vehicle within some range tolerance and inside a 60 degree cone, under leader maneuvers and vehicle capability constraints. The resulting system is referred to as the SPRINT (Station-keeping using Perceptio ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  8. Visual Relative Navigation via Intelligent Ephemeral Relationships (VRNIER)

    SBC: TOYON RESEARCH CORPORATION            Topic: ST18C006

    As unmanned aircraft systems (UAS) become more prevalent there is an increasing desire to automate UAS navigation and control. To enable future UASs to perform a wider variety of missions, the they must be able to complete autonomous relative navigation to accomplish missions. Current technologies rely heavily on GPS measurements, which are undesirable since GPS signals may be unavailable in many ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  9. Visual Algorithms for Navigation and Guidance of UAVs with Autonomous Relational Decisions (VANGUARD)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: ST18C006

    Unmanned systems play a critical role in military operations across a wide range of missions. The DoD’s Unmanned Systems Integrated Roadmap identifies leader-follower tactics, swarming capabilities, sensor advancements, collision avoidance, and GPS-denied solutions as key technologies to support autonomy. Advances in these areas are needed to support coordinated multi-aircraft maneuvers and swar ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  10. StampPump: a Postage-Stamp Sized Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses

    SBC: Thermalin Inc.            Topic: ST18C004

    StampPump is a postage-stamp-sized (27x27x6 mm), fully-self-contained, closed-loop insulin patch pump system that is filled at the factory with enough insulin to treat a person with T1- or trauma-induced hyperglycemia for a full week. The device is shelf stable for at least 90 days and so is compatible with critical-care or forward deployment use. We propose to augment this system with the ability ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
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