You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Membraneless Water Purification via Continuous, Self-Contained, Vacuum-Assisted Diffusiophoresis

    SBC: MAINSTREAM ENGINEERING CORP            Topic: A18BT005

    We propose the development of a membraneless water purification system using continuous, self-contained, vacuum-assisted diffusiophoresis. Using diffusiophoresis allows the system to clean water contaminated with particulates and bacteria without membranes or filters, while producing a stream of fresh, drinkable water. The system will operate using only electricity supplied by portable batteries/s ...

    STTR Phase I 2019 Department of DefenseArmy
  2. DRAGONS – Dynamic Resource Allocation Gains for Operational Networked Sharing

    SBC: Intelligent Automation, Inc.            Topic: A18BT007

    Sharing platforms have already transformed some sectors of civilian logistics, promoting the efficient utilization of resources, such as cars and bicycles. Sharing resources is particularly desirable when those resources are costly, and high utilization is critical, characteristics often observed in military settings. In order to address specific constraints imposed by military applications on res ...

    STTR Phase I 2019 Department of DefenseArmy
  3. 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
  4. Optimization based expanded dictionary adaptive antenna array modeling for far field low frequency propagation

    SBC: Intelligent Automation, Inc.            Topic: A18BT009

    Leveraging existing multi-frequency antenna arrays for purposes they were not originally designed would greatly improve the benefits of such systems. For example, the use of arrays of small antennas with novel waveforms may produce low frequency signals in the far field that are not possible using single antennas and classical waveforms. In particular, we propose to investigate the formation of lo ...

    STTR Phase I 2019 Department of DefenseArmy
  5. RAfFLES: Ransomware-Aware Flash-basEd Storage

    SBC: Intelligent Automation, Inc.            Topic: A18BT010

    Ransomware is an international crime operation that strikes commercial, public and government organizations. It is estimated that ransomware has cost nearly $5 billion in damages worldwide in 2017 alone, and if left unmitigated, by 2019 will hit an enterprise every 14 seconds causing a projected total loss of $11.5 billion. The IAI team proposes to take advantage of the intrinsic flash properties ...

    STTR Phase I 2019 Department of DefenseArmy
  6. Mitigation of Ransomware

    SBC: CRIMSON VISTA, INC.            Topic: A18BT010

    Ransomware is terrorizing the Internet, running rampant in consumer, business, and government systems. So far, ransomware-specific defenses have had minimal impact or success. We propose a new technology called RAM Journaling, a selective recording of RAM over time. The primary purpose of the journal is the recovery of locked data. Specifically, the journal is searched for the symmetric cryptograp ...

    STTR Phase I 2019 Department of DefenseArmy
  7. Hybrid Nano-Bio-Electronic Odor Detector

    SBC: JAN BIOTECH, INC.            Topic: A18BT012

    The goal is to develop a volatile odor detector using mammalian olfactory receptors (ORs) integrated with metal-oxide-semiconductor (CMOS) nanoelectronic circuits. The Army has urgent need for cost-effective odor sensing for novel biological materials integrated with inorganic devices to sense chemical and biological agents. However, e-noses still do not possess the dynamic range and selectivity o ...

    STTR Phase I 2019 Department of DefenseArmy
  8. Signature Management Textiles

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: A18BT023

    The prolific nature of Advanced Battlefield and Ground surveillance radar (BSR/GSR) in military markets is driving the need to develop new methods of reducing infantry forces’ radar cross section (RCS) in effort to avoid detection and more freely move throughout the battlespace. One approach to combat the growing threat of BSR/GSR surveillance is through the development of advanced textiles that ...

    STTR Phase I 2019 Department of DefenseArmy
  9. Additive Manufactured Smart Structures with Discrete Embedded Sensors

    SBC: 3DFlexible Inc            Topic: A17AT024

    Recent advances in 3D structure printing and 3D direct printed electronics have widened the scope of possibilities for the Internet of Things (IoT). New near room temperature 3D direct ink writing (DIW) additive manufacturing (AM) printing processes allow many different type of sensors and they can be embedded anywhere in a structure, which offers several benefits. 1. Protection: sensors face degr ...

    STTR Phase II 2019 Department of DefenseArmy
  10. Explainable Query Refinement for Human Machine Teaming

    SBC: KITWARE INC            Topic: SOCOM18B001

    The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...

    STTR Phase I 2019 Department of DefenseSpecial Operations Command
US Flag An Official Website of the United States Government