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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. Tactical Language and Culture Trainer

    SBC: ALELO TLT LIMITED LIABILITY COMPANY            Topic: SOCOM06010

    We propose to develop a computer-based training system for foreign languages and cultures by leveraging our Tactical Language and Culture Training System. The system is designed to enable the majority of trainees to quickly achieve an Inter-agency Language Round Table (ILR) Proficiency Level of at least 0+/0+/0+ while focusing on the communication skills and cultural awareness necessary to carry ...

    SBIR Phase I 2006 Department of DefenseSpecial Operations Command
  2. Cultural Intelligence Wiki-berry

    SBC: ALELO TLT LIMITED LIABILITY COMPANY            Topic: SOCOM07006

    Tactical Language Training, LLC, in collaboration with MYMIC, LLC, proposes to develop a portable cultural knowledge acquisition device called Wiki-berry, which service members can take into the field. The device will be capable of recording a variety of media, including voice, documents, images, and video. It will employ a user interface that is suitable for field use, as well as a rugged desig ...

    SBIR Phase I 2007 Department of DefenseSpecial Operations Command
  3. Neurobiological Approach to Reliable Feature Searching & Change Analysis in Imagery

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: N/A

    Not Available Laser sources are required to achieve many National Defense requirements for range finders, illuminators, mid-IR sources for countermeasures (IRCM), and solid state optical radars for range gated imaging, autonomous piloting, targeting and guidance. Significant advancements have been made over the last few years in laser capability such as wavelength coverage and output power, but t ...

    SBIR Phase I 1999 Department of DefenseNational Geospatial-Intelligence Agency
  4. Electrospray Capture & Detection of Bioaerosols

    SBC: CONNECTICUT ANALYTICAL CORPORATION            Topic: CBD212003

    The recent COVID-19 world pandemic demonstrates most effectively the urgent need for near real-time detection of ambient airborne pathogens. It has been demonstrated that electrospray ionization, utilized in many mass spectrometers today, has the unique ability to capture bioaerosols non-destructively out of the air for subsequent interrogation. This proposal leverages on this electrospray capture ...

    SBIR Phase I 2022 Department of DefenseOffice for Chemical and Biological Defense
  5. Virgo

    SBC: SOAR TECHNOLOGY, LLC            Topic: SOCOM17004

    Many current approaches applying big data analytics to defensive cyberspace operations (DCO) are based on two premises: queries that find known anomalies (e.g., indicators of compromise) and/or applying machine learning to detect anomalous behavior. While some claim to predict attacks, in truth those attacks must have already been detected somewhere, characterized, and added to a knowledge base. W ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  6. Passive multi-view, multi-channel detection of highly obscured targets

    SBC: ARETE ASSOCIATES            Topic: NGA04001

    The goal of this Phase I SBIR is to define a set of algorithms that will detect and characterize static man-made objects highly obscured by foliage within multi-view, multi-channel optical data collected passively from UAVs or other aerial platforms. The proposed algorithm stream will be constructed so as to comprehend and mitigate real-world interfering effects such as clouds, smoke and haze. Dur ...

    SBIR Phase I 2004 Department of DefenseNational Geospatial-Intelligence Agency
  7. Solid state deep UV laser for Raman detection of CB agents

    SBC: ARETE ASSOCIATES            Topic: CBD11105

    Raman spectroscopy is a highly effective non-contact laser remote sensing method for detecting and identifying chemicals in every-day field environments. Raman spectroscopy is particularly suited for detecting trace surface contaminants that may indicate the presence of explosives, harmful chemical or biological agents. Contemporary systems, such as the vehicle mounted Joint Contaminated Surface D ...

    SBIR Phase I 2011 Department of DefenseOffice for Chemical and Biological Defense
  8. Blending Ground View and Overhead Models

    SBC: ARETE ASSOCIATES            Topic: NGA181008

    We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Learning traffic camera locations using vehicle re-identification

    SBC: ARETE ASSOCIATES            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  10. Structured Stories for MOVINT

    SBC: ARETE ASSOCIATES            Topic: NGA203001

    Arete will integrate the Mover Intelligence Extraction Engine with the Social Structured Framework (SSF) to produce a capability to generate narratives of MOVINT track data with context derived from associated Geographic Information Systems (GIS) and other foundation data. The Extraction Engine will be derived from the Arete Cognitive Behavior Classifier (CBC) to characterize MOVINT tracks into co ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
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