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Award Data
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.
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Dual Plane 3D Compton Scattering Imager with Pixelated CZT Detectors for 1-10MeV Gamma Ray
SBC: H3D INC Topic: NonePhase I has proven that the current setup achieves better than 8mm spatial resolution for 2.2MeV prompt gammas. However, 1mm spatial resolution presents a significant challenge for the current setup due in part to limited timing resolution and count rate. A new analog ASIC will be developed to replace the current analog ASIC that will have better timing resolution and deliver higher count rates. I ...
SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology -
TheSieve
SBC: CYBER POINT INTERNATIONAL LLC Topic: NoneCyberPoint 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 -
Developing Commercial Quantum Resistance Standard Based on Epitaxial Graphene
SBC: GRAPHENE WAVES, LLC Topic: NoneGraphene 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 -
Laser Particle Separation
SBC: Opthos Instrument Company, LLC Topic: NoneParman 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 -
Advanced Instrumentation for Non-Nulling Stack Velocity Testing
SBC: AIRFLOW SCIENCES CORP Topic: NoneIndustrial facilities, manufacturing plants, and electric power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing methods developed in the 1960s, which are prone to error if non-axial flow exists in a stack.Recently, NIST has been working on an improved technique of performing 3D flow ...
SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology -
Development of a Neutron-based Nondestructive Test Method for Concrete Petrography and Chemical Analysis
SBC: TOURNEY CONSULTING GROUP, LLC Topic: NoneTo evaluate the technical feasibility of prompt gamma neutron activation (PGAA) as an alternative to a set of standard destructive tests of concrete petrography including aggregate type, water/cement ratio, aggregate/binder ratio, density, chloride content and chloride bulk diffusion constant; and to determine the specifications for the design of a dedicated commercial laboratory-based PGAA facili ...
SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology -
QUINN (Quantum INspired Neural Networks)
SBC: SOAR TECHNOLOGY INC Topic: SCO183001Machine learning models are susceptible to adversarial attacks that make modifications to the input data in order to cause misclassifications. The root cause is the linearity of the decision boundaries of machine learning models in relation to their inputs. One promising direction is to represent the input data as a distribution. Quantum information science entails techniques for working with wave ...
SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense -
QGAN: Quantum Generative Adversarial Network to Secure Deep Learning
SBC: Intelligent Automation, Inc. Topic: SCO183001Despite 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 -
Critical Program Information (CPI) Identification and Assessment Tool
SBC: Technology Security Associates, Inc. Topic: SCO183002TSA will assess the feasibility of developing or modifying an existing application-based process for creating: a) A functional architecture of a system to identify system missions, mission threads, and Critical Functions (mission model), and b) A physical architecture of a system (system model) in a manner consistent with both TSN Criticality Analysis and the Cybersecurity Risk Assessment Implemen ...
SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense -
Scalable Low-Cost AESA Transmitter with Phase-Only Nulling
SBC: EMAG TECHNOLOGIES, INC. Topic: SCO182002In this SBIR project, EMAG Technologies Inc. proposes to develop a compact, low-cost, scalable, transmit-only X-band active phased array antenna with phase-only nulling capability based on our proven VISAT architecture. The proposed AESA will use commercial PCB manufacturing platform and will utilize commercial off-the-shelf (COTS) parts and components for the entire multilayer stack-up. The propo ...
SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense