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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. Flexible, High-Frequency, High-Durability, and Multifunctional Sensor Film

    SBC: NEWPORT SENSORS INC            Topic: 18OATS001

    DHS has an unmet need for measuring ultra-high-intensity, near-field blast overpressure caused by internal blast within a commercial aircraft explosive threat environment in order to facilitate characterization of blast effects to commercial aircraft structures.The goal of this DHS SBIR OATS project is to deliver advanced thin, flexible, conformable, multi-sensing-point film sensor technology for ...

    SBIR Phase II 2018 Department of Homeland Security
  2. Bioinformatics: Data Integration for Biomonitoring Applications

    SBC: Arete Associates            Topic: DTRA162002

    Aret Associates and Oak Ridge National Laboratory (ORNL) propose an interdisciplinary effort to further develop and validate a robust, operational biomonitoring application that can process soil microbiome data to reliably detect episodic and low-level chronic contamination while maintaining low false alarm rate.The Phase II SBIR work will build upon the successful Phase I proof-of-concept demonst ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  3. DLeN: Deep Learning for standoff detection of Special Nuclear Material

    SBC: CLOSTRA INC            Topic: DTRA162001

    Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of th ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  4. Infrared and Optical Wilderness Location and Surveillance System

    SBC: INTELLISENSE SYSTEMS INC            Topic: HSB0171001

    To address the DHS need for providing U.S. Border Patrol (USBP) agents with an innovative agent-portable device to augment situational awareness in low light/adverse conditions, Physical Optics Corporation (POC) proposes, in Phase II, to advance the new Infrared and Optical Wilderness Location and Surveillance (IROWL) system proven feasible in Phase I. IROWL is based on the unique integration of a ...

    SBIR Phase II 2018 Department of Homeland Security
  5. Optimizing Power Availability and Sustainability in Islanded Sites

    SBC: Physical Optics Corporation            Topic: DTRA152006

    To address the DTRA need for enhanced island-mode operation and strategies for defense critical infrastructure (DCI) in the event of commercial power grid loss or disruption due to an electromagnetic pulse (EMP) or high-power microwaves (HPMs), Physical Optics Corporation (POC) has developed an Optimizing power Availability and Sustainability in Islanded Sites (OASIS) methodology. This solution is ...

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  6. Multi-Abstractions System Reasoning Infrastructure toward Achieving Adaptive Computing Systems

    SBC: GRAMMATECH INC            Topic: 16OATS003

    Software is a critical part of modern infrastructure. The nation's industry and government bear significant costs due to cyber attacks that steal data or otherwise disrupt operations. Software-based systems are too complex to be protected by a single layer of defense such as a perimeter firewall. Instead, operators need layered defenses that detect, inhibit and even block attackers who breach the ...

    SBIR Phase II 2016 Department of Homeland Security
  7. Shielded SNM Detection with Gravity Gradiometry

    SBC: AOSENSE, INC.            Topic: HSB0151008

    AOSense proposes to develop a cold-atom gravity gradiometer for nonintrusive, passive detection of shielded special nuclear material (SNM) within a human occupied vehicle. Both SNM and SNM shielding consist of high-Z materials that are substantially denser than background. Theoretical studies have demonstrated the efficacy of gravity tomography for identification of shielded SNM. The proposed g ...

    SBIR Phase II 2016 Department of Homeland Security
  8. Privacy Protecting Conversation Recorder

    SBC: Mod9 Technologies            Topic: HSB0151004

    The purpose of this Phase II SBIR project is to improve technical capabilities and develop commercial products that record spoken conversations in a privacy-protecting manner. The primary aim is to support the homeland security mission with solutions that enable more effective law enforcement while simultaneously protecting the privacy and civil liberties of individuals. A secondary aim is to pu ...

    SBIR Phase II 2016 Department of Homeland Security
  9. Standoff Detection of VBIED and Suicide Bomber

    SBC: Energy Research Company            Topic: HSB072001

    Energy Research Company proposes the continued development of its proprietary technology, Laser Induced Acoustics (LIA), for standoff detection of VBIEDs and suicide bombers, and building a LIA based prototype suitable for high fidelity simulations. LIA uses a laser to interrogate a surface with the resulting acoustic signal indicating the presence of any explosive residues. In addition, we are us ...

    SBIR Phase II 2008 Department of Homeland Security
  10. Intensity-Modulated Advanced X-ray Source (IMAXS)

    SBC: PTSE, Inc.            Topic: HSHQDC09C000

    We propose to build an Intensity-Modulated Advanced X-ray Source (IMAXS) for cargo inspection systems that allows such systems to achieve 1 to 2 inches greater penetration for dense cargo (steel or equivalent) while, on average, producing the same amount, or less, radiation. Alternatively, cargo inspection systems using the new design may opt to have the same penetration as with conventional sourc ...

    SBIR Phase II 2008 Department of Homeland Security
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