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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. Optimizing InAs/InAsSb transport using predictive electronic structure code for carrier dynamics including Auger recombination

    SBC: QUANTCAD LLC            Topic: AF17CT04

    A model will be developed and validated for electronic transport calculations using a highly accurate, predictive electronic structure code that currently produces electronic structure, optical absorption, radiative and Auger recombination rates for InAs/InAsSb strained-layer superlattices from 5K-300K. The approach will use the novel formulation of Auger recombination pioneered at U. Iowa which d ...

    STTR Phase I 2018 Department of DefenseAir Force
  2. Verification and Validation of Algorithms for Resilient Complex Software Controlled Systems

    SBC: APPLIED DEFENSE SOLUTIONS, INC.            Topic: AF17CT05

    In response to the challenges described in AF173-CT05, Applied Defense Solutions (ADS) and the University of New Mexico (UNM) (equivalently, the ADS Team) propose to research and develop innovative validation and verification (V&V) algorithms for spacecraft GN&C. The ADS Team is unique in that it brings operational flight GN&C software experience (ADS) with cutting edge research on algorithm V&V ( ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. System for Nighttime and Low-Light Face Recognition

    SBC: MUKH Technologies LLC            Topic: SOCOM18A001

    Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  4. Deep Machine learning for risk Analysis and Prediction (D-MAP) in supply chains

    SBC: Intelligent Automation, Inc.            Topic: MDA16T002

    Globalization and digitization have been driving the recent economic growth at the expense of raising the risk level in the supply chain related to fraud, security, and safety, while current practice of supply chain management and risk assessment is lagging far behind. Therefore, commercial industries and government agencies are seeking advanced supply chain risk assessment solutions, which can ef ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  5. A Novel, Nanostructured, Metal-organic Frameworks-Based Product Loss Prevention Technology in the Oil and Natural Gas Sector

    SBC: FRAMERGY INC            Topic: 17NCER2C

    To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logistical system requires natural gas gathering lines, processing facilities, product storage tanks and lots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermit ...

    SBIR Phase I 2018 Environmental Protection Agency
  6. Disposal of Aqueous Film-Forming Foam using Hydrodynamic Cavitation

    SBC: DYNAFLOW, INC.            Topic: AF17BT001

    The widespread use of Aqueous Film Forming Foams (AFFF) at DOD facilities for firefighting, training, and fire suppression systems has resulted in numerous contamination sites. The perfluoroalkyl (PFA) compounds used in the AFFF, such as perfluoroalkyl sulfonates (PFOS) and perfluoroalkyl carboxylic acids (PFOA) are extremely stable in the environment and have been shown to be resistant to typical ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. 6000297

    SBC: Chip Design Systems Inc.            Topic: AF18AT017

    We propose to develop an innovative concept of the high speed dynamic IRSP that combines components and devices from proven suppliers with novel system-level research topics from CDS and University of Delaware. Having previously built and delivered working LED IRSPs to users gives CDS a unique advantage. In line with system theme of the solicitation, our phase 1 research topics are focused on syst ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Wafer-Level Electronic-Photonic Co-Packaging

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: AF16AT01

    In phase II work, we will collaborate with Prof. Stefan Preble in RIT and continue to develop large scale hybrid integration and packaging techniques for key active photonic components such as lithium niobate on insulator (LNOI) modulators and modified uni-traveling (MUTC) photodiodes. We will demonstrate a low V, broadband, small footprint LNOI modulator with hybrid Si/LN or SiN/LN waveguide usin ...

    STTR Phase II 2018 Department of DefenseAir Force
  10. Instant k-Space Tomography for Spatial-Spectral Monitoring

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: AF17AT013

    The Army is frequently forced to operate in hostile climates. Heavy fog, rain, snow, and dust storms can inhibit the performance of tracking technologies such as mid-wave infrared cameras. In such conditions, Army early warning systems are blinded and put personnel and assets at risk.There is a specific need for a degraded visual environment (DVE) penetrative target tracking solution.Radio frequen ...

    STTR Phase II 2018 Department of DefenseAir Force
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