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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. 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. 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
  3. 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
  4. Conformal Li Metal Batteries Enabled By Microporous Electrodes

    SBC: Navitas Advanced Solutions Group, LLC            Topic: A18BT015

    Navitas will collaborate with the University of Maryland group to develop a flexible microporous Li metal anode. The proposed porous anode will reduce Li dendrite growth via its built-in porosity and increase rate capability via its high surface area. It will enable a conformal, safe, and light weight lithium metal batteries as soldier portable power devices. The Phase I project will demonstrate t ...

    STTR Phase I 2019 Department of DefenseArmy
  5. 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
  6. 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
  7. ENHANCE – Enabling Hybrid Anodes with Nano-Carbon Electrodes

    SBC: CELLEC TECHNOLOGIES, INC            Topic: AF19AT014

    The objective of this research program is to develop an ultra-lightweight carbon nanotube-lithium metal (CNT-Li) hybrid anode to enable high energy density lithium ion cells. These CNT-Li anodes will be paired with carbon nanotube enhanced high areal loading (mAh/cm2) cathodes to achieve cell-level energy densities that exceed 400 Wh/kg at the cell-level and have the potential to exceed 500 Wh/kg. ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Intelligence and Intuition for Enhanced Decision Making (I2EDM)

    SBC: MODUS OPERANDI, INC.            Topic: N13AT024

    The focus of our Intelligence and Intuition for Enhanced Decision Making (I2EDM) Phase 1 research is to provide efficient and timely automated production and dissemination of information products in support of doctrinal Decision Points for the Company and below in austere environments. Operating in the Cloud, I2EDM will continuously fuse tactical information with human intuition and experience to ...

    STTR Phase I 2013 Department of DefenseNavy
  9. Nublu: Assured Information Sharing in Clouds

    SBC: MODUS OPERANDI, INC.            Topic: AF11BT30

    ABSTRACT: We propose to develop an assured information sharing framework for cloud-based systems that leverages our ongoing work in the areas of policy-based usage management and semantic interoperability. The development of this framework will involve the creation of a novel approach to information sharing that treats security as a commodity that can be dynamically provisioned within the cloud, ...

    STTR Phase II 2013 Department of DefenseAir Force
  10. ASW Find-To-Forecast

    SBC: MODUS OPERANDI, INC.            Topic: N11AT018

    As stated in the topic, The decision environment in which the Anti-Submarine Warfare Commander must operate during threat prosecution is characterized by severe time pressure, complex, multi-component decision tasks, and rapidly evolving andchanging information and situational state. There is therefore an increasing need to extend ASW decision support capabilities with the ability to help operator ...

    STTR Phase II 2014 Department of DefenseNavy
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