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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. Multimode Chiroptical Spectrometer for Nanoparticle Characterization

    SBC: APPLIED NANOFLUORESCENCE, LLC            Topic: None

    This project will develop a new scientific instrument optimized for the advanced characterization of near-infrared fluorescent nanoparticles that can exist as left- or right-handed structures (enantiomers). Single-walled carbon nanotubes (SWCNTs) are the leading current example of such nanomaterials. Applied NanoFluorescence, LLC (ANF) proposes a novel multi-mode chiroptical spectrometer that can ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  2. Gap-Free Model-Based Engineering for Manufacturing and Analysis: Digital Thread without Translation

    SBC: Nvariate, Inc.            Topic: None

    Modern Model-Based Enterprise / Engineering (MBE) systems rely on freeform surfaces built as complex combinations of geometric primitives to define engineered objects. Unfortunately, the intersection of freeform surfaces in MBE applications results in highly approximated solutions, degrading models that cost billions annually by US industry to fix. Current technology limits the abilities of users ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  3. Direct Performance Evaluation of Additive Manufacturing Process Plans

    SBC: INTACT SOLUTIONS, INC            Topic: None

    Additive manufacturing is steadily advancing towards fulfilling its promise of customized and on-demand production of functional parts. However, performance of as-manufactured parts can differ significantly from the as-designed parts because the as-manufactured geometry differs from the as-designed geometry and the asmanufactured material properties are not known. Attempts to predict performance o ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  4. Advanced Manufacturing and Material Measurements Software Tool Weave ™ for the Acceleration and Automation of SEM Image Analysis in the Semiconductor Industry

    SBC: Sandbox Semiconductor Incorporated            Topic: None

    In this Phase I SBIR proposal, SandBox Semiconductor™ proposes to develop an Advanced Manufacturing and Material Measurements software tool called Weave ™ for accelerating and automating SEM image analysis for the semiconductor industry. During the development of a new manufacturing process line for a semiconductor device, tens of thousands of scanning electron microscopy (SEM) images are take ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  5. Nanomachine Device for Semiconductor Process Control Monitoring

    SBC: XALLENT INC.            Topic: None

    Conventional characterization and test methods are increasingly ineffective when applied to structures less than 100 nanometers, causing challenges across R&D, process control and failure analysis. An increasing number of subtle defects become prominent drivers of failure as device size and operating margins decrease, e.g., processing anomalies in thin gate oxides, substrate problems related to do ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  6. Semantic Analysis Technologies for the Identification of Dual Use Research of Concern (STIR)

    SBC: KNOWLEDGE BASED SYSTEMS INC            Topic: DTRA172004

    The goal of this project is to design and develop Semantic Analysis Technologies for the Identification of Dual Use Research of Concern (STIR). STIR processes scientific documents using semantic technologies and inference algorithms to identify potential for Dual Use Research of Concern (DURC). The focus is on 15 high consequence pathogens and toxins and 7 experimental categories identified as DUR ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  7. Non-Saturating, Real-Time Battlefield Dosimeter

    SBC: PROPORTIONAL TECHNOLOGIES, INC.            Topic: DTRA172007

    During the Phase I effort, Proportional Technologies, Inc. developed non-saturating components for a military battlefield dosimeter based on ionization chamber technology. Chambers were thimble-shaped, made out of carbon, and incorporated different materials for the conversion of fast neutrons, thermal neutrons, and gamma radiation. Extensive testing showed that the proposed solution is feasible. ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  8. Data-Driven Technology Discovery Methodologies

    SBC: Semandex Networks Inc.            Topic: DTRA162005

    During the Phase I effort, Semandex Networks and its team developed a prototype capability to detect trends in research publications by automatically identifying emerging concepts within the data. The implemented capability provides insights into past and

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  9. High Efficiency Cyclone Separator for Sub-micron Particle Concentration

    SBC: MAINSTREAM ENGINEERING CORP            Topic: DTRA182006

    The Radionuclide Aerosol Sampler and Analyzer (RASA) is a completely automated monitoring system that detects airborne radioactive particles and is one of the detection systems used in the U.S. and global International Monitoring System (IMS) of the Comprehensive Nuclear Test Ban Treaty Organization (CTBTO) to detect nuclear detonations. Mainstream proposes develop a high-efficiency cyclone separa ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  10. Plan Learning Across Textual Observations (PLATO) Phase II

    SBC: LANGUAGE COMPUTER CORPORATION            Topic: DTRA162004

    In Phase II of PLATO, we will develop a prototype plan and goal identification system that employs a rich model of domain actions and events, extracted automatically from a massive amount of real-world domain-relevant information, to model agent-specific action costs and to process sequences of agent actions and events, extracted from text, as an agent plan in progress. The system will be able to ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
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