You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. IED Electronic Signature Detection

    SBC: NOKOMIS INC            Topic: DTRA06007

    There is an urgent need to procure for our military forces on the ground in Iraq and in other locations technology and equipment which provide the capability to effectively and immediately detect, assess, and defend against the threat from Improvised Explosive Devices (IEDs). It is believed that this same threat, applied to Weapons of Mass Destruction (WMD) dispersal, could also increasingly beco ...

    SBIR Phase II 2007 Department of DefenseDefense Threat Reduction Agency
  2. Portable, Fieldable, Non- Helium-3 Based Neutron Multiplicity Counter

    SBC: PROPORTIONAL TECHNOLOGIES, INC.            Topic: DTRA162007

    Neutron coincidence counters are currently based on 3H technology. A worldwide 3He shortage plus the need for significant improvements in performance necessitate the development of a new class of neutron detectors. We propose the use of boron-coated straw

    SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency
  3. Thermal and Fast Neutron Multiplicity Counter

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DTRA162007

    Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials based on analysis of the time correlated neutron multiplicity distribution. RMD is developing two key materials for such applications: Cs2LiYCl6:Ce (CLYC) scintillator and dual-mode plastics.  CLYC offers efficient thermal neutron detection and excellent separation between gamma and neutr ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  4. Low-Energy Maskless Lithography to Mitigate Radiation Effects in Advanced Nanoscale Microelectronics

    SBC: Multibeam Corporation            Topic: DTRA112003

    The need for novel weapons to defeat urban targets and rapidly immobalize enemy combatants hiding in bunkers, caves, and basements requires new weapons and tactics. Thermobaric warheads can provide tailored blast response optimized for the defeat of these targets with low collateral damage. In this Phase I SBIR program, Powdermet will develop surface-coated metallic particles that can deliver tail ...

    SBIR Phase II 2014 Department of DefenseDefense Threat Reduction Agency
  5. A Broadband and Compact Dual Comb Spectrometer for Precise Field Detection of Trace Elements and Chemicals

    SBC: OPTICSLAH, LLC            Topic: DTRA20B003

    There is a growing need to accurately characterize nuclear materials not only for nuclear safeguards and nonproliferation treaty verification but also for forensics and provenance. At present, nuclear material identification requires samples to be collected and sent to laboratories for analysis using large and expensive equipment, such as inductively coupled plasma mass spectrometers (ICP-MS) or s ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  6. Compact Laser Drivers for Photoconductive Semiconductor Switches- STTR Phase II Sequential

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against radiated threats, produced by high altitude electromagnetic pulse (HEMP) caused by nuclear detonations and high-power microwave (HPM) Directed Energy (DE) weapons it is important to understand not only the physics of the threats, but also to quantify the effects on mission-critical electrical systems. EMP/HMP simulators enable threat level testing of MCS and provid ...

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  7. T2-0455- Radiation Dose Advisor Application

    SBC: SONALYSTS INC            Topic: DTRA202002

    Sonalysts will develop the Radiation Adaptive Monitoring System for Exposure Safety (RAMSES). RAMSES will be a simple application able to run on a variety of handheld devices with a data connection to a range of possible commercial radiation detectors. It will provide stay time and health hazard decision-making support for emergency responders exposed to unknown or varying radiation fields. RAMSES ...

    SBIR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  8. Integrated Circuits for Gamma Detector Read Out and/Or Gamma Spectral Signal Analysis

    SBC: NU-TREK, INC.            Topic: DTRA20B002

    The Nu-Trek Team is developing the µDet, a low Size, Weight, and Power (SWaP) readout integrated circuit (IC) for gamma and neuron detectors. µDet offers pulse shape digitization, which in turn enables gamma-neutron discrimination. This is a game changing capability that brings laboratory-level functionality to the field. In Phase I the Nu-Trek Team developed a baseline design for the µDet read ...

    SBIR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  9. Laser-based real-time Temperature Measurements in Detonation Environments

    SBC: EXMAT RESEARCH INC            Topic: DTRA19B001

    To support DTRA’s agent-defeat efforts, we will refine a laser-based Optical Thermocouple (OTC) technology and build and deliver to DTRA a hardened OTC prototype. This OTC system will be capable of quantifying the localized temporal evolution of temperature inside a detonation environment. The OTC technology is based on two-color fluorescence thermometry to determine the temperature. After laser ...

    STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  10. DOEYK: Detecting Objects with Enhanced YOLOv3 and Knowledge Graph

    SBC: Intelligent Automation, Inc.            Topic: DTRA19B002

    Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...

    STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency
US Flag An Official Website of the United States Government