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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. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Contour Based Image Segmentation

    SBC: VY CORP            Topic: AF18BT007

    We propose to detect and identify moving objects in airborne imagery and full-motion video in unconstrained environments. Conventional techniques result in too many false positives; a new topology is needed to automatically detect and identify moving targets from a moving platform in airborne imagery. Our software is designed to analyze video imagery and deliver curve metadata that can be organize ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Small UAS compatible Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensors

    SBC: NEVADA NANOTECH SYSTEMS, INC.            Topic: AF18BT009

    Proposed herein are novel design methodologies to create sensors for chemical, biological, radiological, nuclear and/or explosive (CBRNE) detection aboard a Small Unmanned Aerial System (SUAS), as well as intelligent Bayesian-based plume analysis and source detection algorithms that offer capabilities for the Air Force above and beyond the state of the art. The assembled technical team of experts ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Multiphysics Modeling of Dynamic Combustion Processes

    SBC: COMBUSTION RESEARCH & FLOW TECHNOLOGY INC            Topic: AF18BT010

    The objective of this effort is to develop a zonal, multi-physics modeling framework for dynamic combustion processes that can capture relevant local physics and simulate system behavior. The primary focus will be on liquid rocket combustors with secondary application to gas turbines. The goal is to obtain an order of magnitude reduction in current simulation time within acceptable error limits. T ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Technical training software platform using machine learning and AR for Air Force maintenance and service operation

    SBC: DISTAT CO            Topic: AF19BT001

    A comprehensive technical training software platform combining computer vision and Augmented Reality (AR) technologies can transform the human learning process and experience. Computer vision is leveraged to understand the physical environment, while AR is used to superimpose contextual information onto the physical world. We aim to provide software solution using AR tools and systems to address s ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: ESTAT ACTUATION INC            Topic: AF19BT001

    Designing actuation hardware for autonomous systems is challenging due to the high weight and power consumption of conventional actuators and clutches. Compared to existing clutch technologies, the electroadhesive clutches produced by ESTAT have exceptional holding force as a ratio of both mass and power consumption. They weigh 10x less and consumes 1000x less power than other clutching technologi ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. NEUTRON: Network Enforcement Using TRansctiONs

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: AF17BT004

    SIFT proposes Network Enforcement Using TRansactONs (NEUTRON) a dynamic fine-grained network enforcement policy design that captures network dependencies. NEUTRON closes the knowledge gap between mission needs and observed network traffic to increase mission network awareness. Then using that knowledge develops a revolutionary security enforcement policy based on network transactions. It reduces t ...

    STTR Phase II 2019 Department of DefenseAir Force
  8. Novel Nanocoating technology for Functional Textile

    SBC: Claros Technologies Inc.            Topic: A18BT024

    Nanoparticles represent an attractive alternative in coating processes due to their functional versatility, including surface, optical, conductive and catalytic properties. However, current processes of coating textile products with nanoparticles results in rapid loss of the nanoparticles during laundering or use, leading to a significant decrease in product durability and functionality and increa ...

    STTR Phase I 2019 Department of DefenseArmy
  9. VANESSA: Virtual Analysis Networks and Explanations for Social Sensing Analysis

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: A18BT008

    SIFT, JHU medicine and University of Central Florida are proposing to develop VANESSA (Virtual Analysis Networks and Explanations for Social Sensing Analysis) - a social sensing platform providing team diagnostics of interacting teams and recommendations for enhanced team functioning of human and human-cyber teams. The overall goal of VANESSA is to develop an adaptive technology platform with a fo ...

    STTR Phase I 2019 Department of DefenseArmy
  10. Multilayer nanostructured coatings with non-linear optical response for manipulation of high energy coherent beams

    SBC: HAMR INDUSTRIES LLC            Topic: A17AT003

    To maximize our military effectiveness, the US must maintain an asymmetric advantage with its next generation technology and weapons. Directed energy weapons such as lasers are one class of weapons in which the US can maintain this advantage by also developing advanced laser defense technology. This proposal builds on our Phase I results using reflective optical limiter coatings which mitigate las ...

    STTR Phase II 2019 Department of DefenseArmy
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