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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. Analyzing Narrative Evolution Across Social Networks

    SBC: ACCRETE AI GOVERNMENT LLC            Topic: SOCOM234001

    Accrete proposes developing a social media exploitation platform to achieve a revolutionary information advantage for the command. It will: map social media networks, measure engagement and quantify influence, track narratives and trace mis-/disinformation to its source. The adapted version will automatically translate content across data sources from 100+ languages to eliminate language barriers ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  2. DTIC NLP & ML for Advanced Analytics

    SBC: NINOH, INC.            Topic: AF193CSO1

    The ability for the Department of Defense to keep pace with rapidly-expanding content, both internal and external, requires human - machine teaming, utilizing AI-based tools for information aggregation, organization and summarization, so that humans can focus on analysis and decision making.

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  3. Advanced social network engagement effectiveness monitoring

    SBC: Octant Data, LLC            Topic: AF203CSO1

    Adversaries and competitors of the United States are increasingly leveraging the rapidly evolving Information Environment (IE) to advance their strategic interests against those of the US and allied nations. Maintaining an information advantage in the progressively fragmented online landscape is challenging, as the impact of activities in the IE are difficult to discern and “real-world” effect ...

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  4. Analyzing Narrative Evolution Across Social Networks

    SBC: Octant Data, LLC            Topic: SOCOM234001

    Octant’s social media network mapping and content modeling approaches will be leveraged to create high-resolution models of information environments spanning key neighboring countries, issues, and state media sources likely to be targeted by information and influence operations. These models will enable the ability to rapidly understand the narratives being spread through the network and how the ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  5. Geospatially Integrated Cyber Situational Awareness

    SBC: Nalej Corporation            Topic: SOCOM203004

    The intent of this project is to complete a feasibility study to identify an end-to-end system that can unify data from different sources and generate actionable information for decision making, including geospacial visualization. The objective is to identify the relationships between various types and formats of data and to make correlations accross different domains and platforms.

    SBIR Phase I 2021 Department of DefenseSpecial Operations Command
  6. Wideband and Analog Radio Frequency At a Distance

    SBC: ANDRO COMPUTATIONAL SOLUTIONS LLC            Topic: SOCOM211003

    Situational awareness and understanding the battlespace is a fundamental enabler across all tactical systems. To this end, ANDRO Computational Solutions, LLC will design, develop and prototype first of its kind small form-fit, multi-task Machine Learning (ML) based fingerprinting device – DeepeRFind: Sensitivity Enhancing Radio Frequency Fingerprinting Technique using Deep Learning – which per ...

    SBIR Phase I 2021 Department of DefenseSpecial Operations Command
  7. TeleSculptor Multiplex: Fusing Multiple FMV Feeds in 3D

    SBC: KITWARE INC            Topic: SOCOM201003

    Multiple concurrent FMV feeds can provide useful context during special forces missions but the flood of data from disconnected viewpoints can dramatically increase cognitive load on SOF operators. Substantial network bandwidth is also consumed by streaming multiple concurrent video feeds with highly redundant content. Kitware proposes TeleSculptor Multiplex, an approach to combine multiple FMV fe ...

    SBIR Phase I 2020 Department of DefenseSpecial Operations Command
  8. Human-Machine Teaming with Machine Learning Algorithms

    SBC: KITWARE INC            Topic: SOCOM18B001

    Characterizing and understanding the interactions between human and machine plays an important role in extracting the most out of our machine learning algorithms while reducing human workload. We propose to develop a software prototype system that reduces user workload of exploiting AI algorithms for imagery exploitation. We will design a user-friendly system for content matching with interactive ...

    STTR Phase II 2020 Department of DefenseSpecial Operations Command
  9. Explainable Query Refinement for Human Machine Teaming

    SBC: KITWARE INC            Topic: SOCOM18B001

    The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...

    STTR Phase I 2019 Department of DefenseSpecial Operations Command
  10. Telesculptor Live

    SBC: KITWARE INC            Topic: SOCOM173003

    Special Forces need a clear, timely understanding of their operational environment.Imagery from unmanned aerial vehicles can familiarize a warfighter with a location but simply looking at videos or still imagery can be confusing.What direction is the UAV looking fromWhich of many similar buildings is in viewIn intelligence, speed of collection and processing can be just as important as accuracy. 3 ...

    SBIR Phase I 2018 Department of DefenseSpecial Operations Command
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