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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. Next Generation IED Diagnostic Imaging System (NG-IDIS)

    SBC: SPECTRAL LABS INCORPORATED            Topic: N/A

    Spectral Labs Incorporated (SLI) proposes to conduct a study and perform analysis in order to identify technologies showing promise for breakthroughs in IED imaging in order to produce a Next Generation IED Diagnostic Imaging System (NG-IDIS). A key improvement in such a system would be to obviate the need for bomb technicians to approach the target multiple times to retrieve film or imaging plate ...

    SBIR Phase I 2009 Department of Homeland Security
  2. 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
  3. Network-centric Inter-channel Fusion for Multi-media Surveillance

    SBC: Broadata Communications, Inc.            Topic: N/A

    The Department of Homeland Security is seeking innovative highly-scalable information processing technologies to manage multimedia surveillance information networks. To address this need, Broadata Communications Inc. (BCI) proposes a highly innovative Network-centric Inter-channel Fusion (NIF) system solution. The NIF system is leveraged on a unique network-centric signal processing technique to a ...

    SBIR Phase I 2006 Department of Homeland Security
  4. 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
  5. Multi-level Frame Technology for Digital Elevation Data Generation

    SBC: Physical Optics Corporation            Topic: N/A

    "The National Imagery and Mapping Agency is seeking new and innovative technology for generating Digital Terrain Elevation Data Level 2 (DTED-2) for territories above 60 degrees N. Important criteria include vertical accuracy of 16 m and horizontal accuracyof 20 m, and identification and selection of available cost effective imagery sources that will require a minimal number of ground control poin ...

    SBIR Phase I 2002 Department of DefenseNational Geospatial-Intelligence Agency
  6. Biological Warfare Agents Remediation System

    SBC: Physical Optics Corporation            Topic: HSB0142001

    To address the DHS need for a novel technology platform that is non-destructive to common environmental surfaces but capable of destroying a range of biological agents, Physical Optics Corporation (POC) proposes to develop a Biological Warfare Agents Remediation (BIFAR) system based on photocatalytic ionization of hydrogen peroxide inside porous microcarriers. In Phase I, POC will develop, demonst ...

    SBIR Phase I 2014 Department of Homeland Security
  7. Web-based Intelligent Extraction of Symbology based on Contextual Information

    SBC: Physical Optics Corporation            Topic: HSB0112006

    To address the DHS need for intelligent symbology technologies, Physical Optics Corporation (POC) proposes to develop new Web-based Intelligent Symbology Extraction based on Context (WISEC) incorporating intelligent text stream processing (ITSP), an entity-attribute-value (EVA) model, and progressive automatic creation of symbology (PACS). The WISEC will offer intelligent symbology generation, upd ...

    SBIR Phase I 2011 Department of Homeland Security
  8. Wireless Physiological and Environmental Monitoring System

    SBC: Physical Optics Corporation            Topic: HSB0141004

    To address the DHS need for a single wireless device that will monitor physiological and environmental conditions of and surrounding a first responder, and relay the information to the incident command, Physical Optics Corporation (POC) proposes to develop a new Wireless Physiological and Environmental Monitoring (WiPEM) system incorporating four major components: (1) an array of physiological sen ...

    SBIR Phase I 2014 Department of Homeland Security
  9. 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, for example: quartz crystal microbalances (QCMs) and capacitive micromachined ultrasonic transducers (CMUTs). These sensors boast extraordinary sensitivity to changes in mass (e.g., 50 femtograms for CMUTs) and are u ...

    SBIR Phase I 2014 Department of Homeland Security
  10. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
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