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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. Biphase Extended Release Tablet Formulation for Nerve Agent Pretreatment

    SBC: ZYMERON CORP            Topic: CBD181004

    Nerve agents exert their toxic effect by binding to and inactivating enzyme acetylcholinesterase, a key enzymatic regulator of cholinergic neurotransmission. The binding becomes irreversible after a varying amount of time with nerve agents and this aging process limits the treatment window of oxime reactivators. To enhance the current antidote treatment of nerve agent autoinjectors, a pyridostigmi ...

    SBIR Phase I 2019 Department of DefenseOffice for Chemical and Biological Defense
  2. Radio Frequency Mobile Signature Capability

    SBC: ARTEMIS, INC.            Topic: A18114

    Modern sensors in current weapon systems bring in complex, high-resolution data at high data rates which is sensitive to variations in the radar signatures from targets and background clutter. These systems need to be vetted against a variety of high-fidelity backgrounds and environments. There is a lack of mobile imaging systems that can make Synthetic Aperture Radar imagery and Radar Cross Secti ...

    SBIR Phase I 2019 Department of DefenseArmy
  3. Common Track Protocol (CTP) Adaptive Translator Module

    SBC: INGENIA SERVICES INC            Topic: A18128

    The objective of the CTP Adaptive Translator Module is to support the goals of the COE Implementation Plan. The CTP will reduce the development time and lower the development costs associated with introducing new protocols into an environment. The reduction in cost and time will be achieved by introducing a modular, embeddable framework that maintains a local common track database which can scale ...

    SBIR Phase I 2019 Department of DefenseArmy
  4. Optical limiter based on epsilon-near-zero materials

    SBC: THIRD FLOOR MATERIALS, INC.            Topic: A18131

    The emerging class of epsilon-near-zero materials (ENZ) is a promising candidate for use in non-linear optical applications including optical limiting. The Army is soliciting proof-of-concept efforts to investigate whether limiting devices can be fabricated based on this novel class of materials. Third Floor Materials, Inc. proposes a feasibility study of such a limiting device, based on its exper ...

    SBIR Phase I 2019 Department of DefenseArmy
  5. Secure Processor Features for the Enforcement of Separation Kernels

    SBC: IDAHO SCIENTIFIC LLC            Topic: A18133

    Idaho Scientific presents a Risc-V based secure processor architecture that provides unique security properties complimentary to the seL4 microkernel. The work conducted under this Phase I SBIR effort will further the discipline of computer security by mitigating memory corruption vulnerabilities, enforcing strong processes separation, covering seL4's formal verification assumptions, and provide a ...

    SBIR Phase I 2019 Department of DefenseArmy
  6. Autonomous Flight Termination Analysis and Real Time Subsequent Debris Impacts

    SBC: CORVID TECHNOLOGIES, LLC            Topic: A18138

    Automated Flight Safety Systems (AFSS) are capable of monitoring vehicle flight path and terminating powered flight when pre-programmed mission rules are violated. Current state of the art AFSS continuously predict the impact point of the forward edge of the debris field based on vacuum propagation. This allows for simplified mission rules that exclude the public from the test area. To allow testi ...

    SBIR Phase I 2019 Department of DefenseArmy
  7. Vision Enhancement for the Dismounted Warrior

    SBC: Rochester Precision Optics, LLC            Topic: A18150

    The goal of this Phase I SBIR program is to demonstrate the potential for AR projection and SWaP reduction by integrating a thermal imaging core into commercially available AR glasses designs and hardening them in order to resist impact damage. We believe that using Commercial Off The Shelf (COTS) AR projection platforms provides the shortest Critical Path to developing a solution for the DoD.

    SBIR Phase I 2019 Department of DefenseArmy
  8. Time Domain Sub-Band Technique for Enhanced Linearity

    SBC: VADUM INC            Topic: A19009

    Vadum will design a millimeter-wave transmitter architecture that employs an innovative Time Domain Sub-Band (TDSB) technique to improve linearity while maintaining or improving efficiency. Linearity and efficiency enhancements in high power systems directly reduce SWaP. Vadum will demonstrate TDSB feasibility to improve the linearity by at least 20 dB for QPSK and QAM modulations, setting a new b ...

    SBIR Phase I 2019 Department of DefenseArmy
  9. “Relaxed, low dislocation density AlGaN templates grown on native substrates”

    SBC: ADROIT MATERIALS, INC.            Topic: A19018

    The objective of this proposal is to develop an MOCVD growth process that will allow for the growth of thick, relaxed, doped and undoped, c-oriented AlGaN layers of any composition on the c-plane of native GaN and AlN substrates. Although these AlGaN layers will be relaxed, they will have a dislocation density similar to that of the used native substrates (E3 - E5 cm-2). This will be achieved by g ...

    SBIR Phase I 2019 Department of DefenseArmy
  10. Machine Learning for Radio Frequency (RF) Signatures Detection and Classification System

    SBC: VADUM INC            Topic: A19037

    Vadum will develop a prototype Context-Aware Machine Learning Signal classifier (CAMLS) to recognize emissions and predict interference to RF systems for the Army's Next Generation Combat Vehicle (NGCV) manned platforms. The CAMLS system will employ offline trained classifiers, and online signal and emitter characterization techniques that to detect signals and emitters of interest. Signal detecti ...

    SBIR Phase I 2019 Department of DefenseArmy
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