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. 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
  2. Rapid Prototyped 3D Printed Filters for CW Agent Protection

    SBC: TDA RESEARCH, INC.            Topic: A18BT018

    Defense against chemical weapons is a critical DoD requirement. An effective defense requires the development of unique respirator systems that prevent inhalation of chemical warfare (CW) agents. In addition, the protective equipment exposed to CW agents must not pose a residual hazard after use in the battlefield. Existing respirator canisters remove CW agents, but they do not self-decontaminate ...

    STTR Phase I 2019 Department of DefenseArmy
  3. Automated In-situ Large-area De-processing of ICs with High Throughput

    SBC: MICRONET SOLUTIONS INC.            Topic: DMEA18B001

    The objective of this proposal is to demonstrate the feasibility of producing an automated delayering and imaging system with end point detection, material density detection with built in neural network error correction. This process, coined fast Automated Delayering-Image Capture System (ADICS) leverages off of the existing Pix2Net which is a proven automated imaging 3D microchip reconstruction ...

    STTR Phase I 2019 Department of DefenseDefense Microelectronics Activity
  4. Design of Easy-To-Use Structural Alloy Feedstocks for Additive Manufacturing

    SBC: ELEMENTUM 3D, INC.            Topic: A18BT003

    There is a need for easy-to-use, versatile alloys for additive manufacturing that print consistently regardless of the specific process or machine, or the metallurgical and manufacturing knowledge of the user. Such capability is especially critical for soldiers to be able to make every day items on demand in the theater of war. Toward meeting this need, recent successes developing high performance ...

    STTR Phase I 2019 Department of DefenseArmy
  5. Runnable Environment for Team Effectiveness and Assessment Metrics (re-TEAM)

    SBC: MODUS OPERANDI, INC.            Topic: A18BT008

    The most critical component of any modern enterprise is effective use of its human resources. The rise of productivity-boosting applications and wearable sensors has provided individual users with data-driven insights into their own effectiveness. Despite these advancements there has not been a corresponding rise in tools for evaluating and improving the effectiveness of teams as a whole. New wear ...

    STTR Phase I 2019 Department of DefenseArmy
  6. 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
  7. 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
  8. 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
  9. 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
  10. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
US Flag An Official Website of the United States Government