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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Advanced Geospatial Computing

    SBC: REPLICUS SOFTWARE CORP.            Topic: NGA05001

    We propose to deliver a system prototype based on the Adaptive Storage Network (ASN) architecture developed in Phase 1 of the SBIR, in order to demonstrate that a fully-distributed self-organizing approach can meet the needs of scalable storage repositories for the NGA and other governmental and large-enterprise infrastructures. The goal of this project is to make data simply and transparently acc ...

    SBIR Phase II 2006 Department of DefenseNational Geospatial-Intelligence Agency
  2. Advanced Image Segmentation for Radar Imagery

    SBC: Electromagnetic Systems, Inc.            Topic: NGA172004

    Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. A Handheld Multi-Gas Sensor Based on Selective Gas Adsorption on Mass Transducers

    SBC: Matrix Sensors, Inc.            Topic: HSB0142006

    We propose to develop a portable, rugged, handheld multi-gas sensor that is well within the solicitation requirements. We will leverage a mature class of mass sensors that include capacitive micromachined ultrasonic transducers (CMUTs). These sensors boast extraordinary sensitivity to changes in mass (e.g. 50 femtograms) and are used today in several applications including high resolution ultrason ...

    SBIR Phase II 2015 Department of Homeland Security
  4. Algorithms for Look-down Infrared Target Exploitation

    SBC: Signature Research, Inc.            Topic: NGA18A001

    The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

    STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  5. APU Silencing Technology Development

    SBC: Great Lakes Sound & Vibration, Inc.            Topic: OSD10EP3

    The proposed effort will result in an "universal" fan noise cancellation system for use with high performance fans used extensively in defense applications including auxiliary power unit (APU) applications. Fans are a critical noise source that impact the audible detection range of the platform. The importance of the fan noise for detection continues to increase as other technology improvements ...

    SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  6. A Real-Time Application Security Analyzer

    SBC: RAM LABORATORIES            Topic: 15OATS002

    Software developers are faced with a variety of security challenges when developing and deploying new systems. The software may be subject to malicious insiders, external threats and supply chain threats that access systems through poor software hygiene or the presence of zero-day vulnerabilities that the vendor is not aware of. While an array of software assurance tools have been developed that ...

    SBIR Phase II 2015 Department of Homeland Security
  7. Automated Assessment of Urban Environment Degradation for Disaster Relief and Reconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a software prototype for automated 3D damage assessment in urban environments. We will document the requirements for the algorithms and software, and optimize or extend the algorithms as needed. We will implement the software prototype, leveraging and integrating existing components where possible and implementing new components as needed. We will qua ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  8. Automatic Target Acquisition & Aim-Point Selection for Small Arms

    SBC: Opto-knowledge Systems, Inc.            Topic: OSD173J02

    The Army is seeking next-generation automatic target detection, recognition, identification, masking, tracking, and aim-point selection tools for small caliber weapons systems borne by dismounted soldiers to improve warfighter effectiveness. Accordingly, OKSI has proposed implementing state-of-the-art machine learning tools (e.g., deep learning) on ultra-low SWaP modern processors (e.g., Nvidia TX ...

    SBIR Phase II 2020 Department of DefenseOffice of the Secretary of Defense
  9. Bilayer Nanofibers as Wearable Sensors for Detecting Fentanyl Compounds

    SBC: Vaporsens, Inc.            Topic: HSB0181001

    Drug overdose is now the leading cause of death for Americans under 50 years old, with fentanyl claiming more lives than any other drug. Alarmingly, the problem is increasing, with fentanyl overdoses claiming nearly twice as many lives in 2016 compared to 2015. In addition to users, first responders are at risk for exposure to fentanyl as they perform their duties. Fentanyl is extremely dangerous ...

    SBIR Phase II 2019 Department of Homeland Security
  10. Channel to Droplet Sample Extraction Analysis (SEA) Cartridge for Food Testing and Homeland Security Applications

    SBC: Core MicroSolutions, Inc.            Topic: HSB051001

    To develop advanced ¿channel-to-droplet¿ sample extraction and purification functions on a compact cartridge that is free of sensitive and complex microfluidic components, Core Microsolutions (CMSS) and Professor Sung Cho of the University of Pittsburgh propose to integrate Electrowetting-on-Dielectric (EWOD) droplet handling and in-droplet concentration capabilities with well proven channel-bas ...

    SBIR Phase II 2006 Department of Homeland Security
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