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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. Advanced Chemistry and Radiation Modules for Hypersonic Signatures

    SBC: SPECTRAL SCIENCES INC            Topic: MDA15T003

    The flight and environment conditions encountered by vehicles operating in the Mach 10 to 20+, or high hypersonic, regime are complex and difficult to model. Under such conditions, ablating heat shield material is entrained in the flow in the form of gases and particulates and reactive chemistry between atmospheric and ablating species creates a non-local thermodynamic equilibrium (NLTE) environme ...

    SBIR Phase II 2019 Department of DefenseMissile Defense Agency
  2. High Performance Cooled Seeker Window

    SBC: MAINSTREAM ENGINEERING CORP            Topic: MDA17005

    Infrared (IR) windows operating in the environment experienced by endo-atmospheric interceptors are limited in performance by the high heat fluxes, temperatures, and pressures characteristic of these environments. Window temperature can exceed 900 C from exposure to the high heat fluxes and temperatures associated with hypersonic flight. Existing materials are limited by poor mechanical and optica ...

    SBIR Phase II 2019 Department of DefenseMissile Defense Agency
  3. Model Level Integrated Simulation Architecture for Collaborative Development

    SBC: RTSYNC CORP            Topic: MDA18012

    We propose to develop a simulation architecture framework that enables development teams to integrate algorithmic models into a simulation solely through a collaboration layer/interface and software controls. The proposed architecture will address: ease of model integration, model composability, execution speed, and ease of data collection and retrieval. To achieve these objectives, we propose tha ...

    SBIR Phase I 2019 Department of DefenseMissile Defense Agency
  4. 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
  5. Natural Rubber Production

    SBC: EDISON AGROSCIENCES INC            Topic: ST18C001

    Natural rubber is an essential manufacturing material that possesses performance properties that are superior to synthetic rubber for many product applications. However, natural rubber production is limited to a single species (rubber tree) in a limited geographic area (Southeast Asia) and is predicted to be incapable of meeting future demand. Producing rubber from another commercial crop such as ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  6. Natural Rubber Production

    SBC: American Sustainable Rubber Company, LLC            Topic: ST18C001

    Rubber is pervasive in our economy, with over 50,000 products requiring natural rubber (NR), including military grade tires. Yet significant global shortfalls are projected. Rubber dandelion (Taraxacum kok-saghyz) produces natural rubber (cis-1,4, -polyisoprene) in root latex vessels (laticifers) almost identical to rubber from the tropical rubber tree (Hevea brasiliensis). Problem: Cost-effective ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  7. 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
  8. 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
  9. SBDUV APD/GPD detector arrays

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: ST18C003

    The goal of the research is to provide a solar-blind, deep-UV photo-detector array that can be used in instruments detecting chemical and biological agents, such as TAC-BIO II, using UV Raman and Fluorescence measurements. The overall approach is to develop a solid-state detector array that achieves the performance goals for QE (>70%), gain (>1E6), dark current (

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  10. AlGaN Based Solar-Blind Avalanche Photo Detectors and Arrays

    SBC: NOUR LLC            Topic: ST18C003

    It is here proposed to demonstrate AlGaN based solar-blind avalanche photodiodes and arrays operating in both linear and Geiger mode that would be suitable for replacing photomultiplier tube technology bio-agent detection, missile warning systems, and hostile fire identification. These objectives will be reached through a comprehensive R&D thrust in the areas of semiconductor material epitaxial gr ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
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