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Award Data

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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. TheSieve

    SBC: CYBER POINT INTERNATIONAL LLC            Topic: None

    CyberPoint International presents the design of a cross platform product for the autonomous execution of live forensic investigations of Personal Computers, Laptops and Servers leveraging the NIST NSRL corpus and a combination of at least 3 forms of machine learning/artificial intelligent algorithms for the processing of preliminary digital evidence titled TheSieve. We build upon work from our pha ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  2. Multimode Chiroptical Spectrometer for Nanoparticle Characterization

    SBC: APPLIED NANOFLUORESCENCE, LLC            Topic: None

    This project will develop a new scientific instrument optimized for the advanced characterization of near-infrared fluorescent nanoparticles that can exist as left- or right-handed structures (enantiomers). Single-walled carbon nanotubes (SWCNTs) are the leading current example of such nanomaterials. Applied NanoFluorescence, LLC (ANF) proposes a novel multi-mode chiroptical spectrometer that can ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  3. CPACT (CheckPoint Advanced Computed Tomography)

    SBC: Next Century Corporation            Topic: HSB0181006

    Next Century's CPACT (CheckPoint Advanced Computed Tomography) solution aims to fill a mission-critical need for easy, rapid, accurate, and intuitive adjudication of bags at airport security checkpoints using CT imagery. The goal of CPACT (pronounced "see packed") is to enable TSA and our nation to reap the benefits of the increased security that 3D CT imagery can provide without introducing delay ...

    SBIR Phase II 2019 Department of Homeland Security
  4. Real-Time Passive Authentication for Contact Centers

    SBC: Illuma Labs Inc.            Topic: HSB0171003

    Vulnerabilities in telecommunications channels are being exploited at alarming rates by malicious attackers to commit fraud, perpetrate scams, and organize data breaches. In addition to financial losses incurred by corporations and taxpayers, attacks against government agencies such as the DHS can severely compromise national security. A common element of these attacks is the attacker's ability to ...

    SBIR Phase II 2019 Department of Homeland Security
  5. Developing Commercial Quantum Resistance Standard Based on Epitaxial Graphene

    SBC: GRAPHENE WAVES, LLC            Topic: None

    Graphene Waves proposes to develop a quantum Hall resistance (QHR) standard based on graphene that can be deployed for general electrical calibration in industries. Current QHR standard is based on GaAs/AlGaAs heterostructure and requires expensive liquid helium to operate. The continuous increase in price and unstable supply chain of liquid helium limit the QHR standard to be only affordable by t ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  6. Laser Particle Separation

    SBC: Opthos Instrument Company, LLC            Topic: None

    Parman Tech is dedicated to commercializing a NIST technology for sorting nano-particles. This technology uses the force of light to gently guide particles along different paths depending on the size of makeup of each particle.

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  7. Gap-Free Model-Based Engineering for Manufacturing and Analysis: Digital Thread without Translation

    SBC: Nvariate, Inc.            Topic: None

    Modern Model-Based Enterprise / Engineering (MBE) systems rely on freeform surfaces built as complex combinations of geometric primitives to define engineered objects. Unfortunately, the intersection of freeform surfaces in MBE applications results in highly approximated solutions, degrading models that cost billions annually by US industry to fix. Current technology limits the abilities of users ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  8. Advanced Manufacturing and Material Measurements Software Tool Weave ™ for the Acceleration and Automation of SEM Image Analysis in the Semiconductor Industry

    SBC: Sandbox Semiconductor Incorporated            Topic: None

    In this Phase I SBIR proposal, SandBox Semiconductor™ proposes to develop an Advanced Manufacturing and Material Measurements software tool called Weave ™ for accelerating and automating SEM image analysis for the semiconductor industry. During the development of a new manufacturing process line for a semiconductor device, tens of thousands of scanning electron microscopy (SEM) images are take ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  9. Quantum Adversarial Machine Learning

    SBC: VCRSOFT LLC            Topic: SCO183001

    We propose a quantum adversarial machine learning (QAML) approach that combines ideas from different classical AML techniques such as Defense-GAN and thermometer-encoding of inputs. We propose an implementation of Defense-GAN on the D-Wave Leap quantum computing environment. We also propose to leverage ideas from quantum information science such as noisy inputs/outputs/parameters to improve the ro ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  10. QGAN: Quantum Generative Adversarial Network to Secure Deep Learning

    SBC: Intelligent Automation, Inc.            Topic: SCO183001

    Despite deep neural networks have demonstrated tremendous success in various commercial and DoD applications, they are susceptible to adversarial attacks with detrimental outcomes to the underlying applications. The generative adversarial network (GAN) provides a good way of defending against adversarial learning attacks, but it is faced with a practical challenge, as classical computers are not a ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
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