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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. BioSENSE, for identification of allosteric transcription factor biosensors

    SBC: SYNVITROBIO, INC.            Topic: A18BT016

    There is a need to develop affordable and specific biosensors to defend against current and future biological threats. Biological methods of detection have been evolved by nature to detect molecules at the micro-scale with flexible specificity and with downstream effectors. Advances in cell-free technology allow for deployment of biosensors on pH-strip-type paper, an affordable, robust, disposable ...

    STTR Phase I 2019 Department of DefenseArmy
  2. 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
  3. Multi-Dimensional Event Sourcing & Correlation- Publicly Available Information (PAI) (MDESC-P)

    SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC            Topic: SOCOM22DST01

    Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  4. Universal textile functionalization chemistry for molecular and particulate attachment based on a novel activation treatment

    SBC: Nano Terra, Inc.            Topic: A18BT024

    Nano Terra and the El-Shafei group (North Carolina State University) propose to demonstrate, optimize and expand a universal platform for textile functionalization. The approach is one developed in the El-Shafei group that has already been explored for its utility in cotton, nylon-cotton blends and polypropylene. The functionalization method imparts a high-level of flame retardancy (without haloge ...

    STTR Phase I 2019 Department of DefenseArmy
  5. Scalable Manufacturing of Graphite Yarns via Wet Spinning Process

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: A17AT013

    Recently, fiber/yarn-based energy-storage systems have attracted enormous attention due to their remarkable promises in smart textiles and high-tech sportswear etc., mainly as more pliable energy-storage units being truly wearable. Storagenergy Technologies Inc. proposes to develop graphite fibers (GFs), which are fabricated by a scalable and cost effective wet spinning approach, and later chemica ...

    STTR Phase I 2017 Department of DefenseArmy
  6. Adaptive Distributed Allocation of Probabilistic Tasks (ADAPT)

    SBC: APTIMA INC            Topic: A18BT007

    Logistic operations for all branches of the military have historically been a guessing game relying on the intuition and past experience of the responsible officials. Unfortunately, this strategy often means that resources are deployed prematurely to areas that do not have an immediate need, thereby denying those assets to other areas that could have used them immediately. Worse, resources can als ...

    STTR Phase I 2019 Department of DefenseArmy
  7. Circuit Integration for Robust Quantum Information Technology Scalability (CIRQuITS)

    SBC: VECTOR ATOMIC INC            Topic: A18BT014

    Vector Atomic will develop precision, ultra-low noise laser control electronics with low cost, size, weight, and power (C-SWaP). The electronics will be designed to broadly support the various laser types of used for quantum technology, which span 369-1550 nm. The C-SWaP and system architecture will support scaling of quantum systems to higher laser counts. The design will also include essential f ...

    STTR Phase I 2019 Department of DefenseArmy
  8. Nadir-Looking Synthetic Aperture Radar (NadirSAR)

    SBC: Goleta Star LLC            Topic: A16AT011

    Goleta Star and the University of Florida (UFL) will jointly develop Nadir SAR 3D imaging capability from a Circular SAR orbit that can be transitioned into selected Army applications, primarily existing single-channel radars. Both Goleta and UFL have 3D imaging background and relevant capability that will jointly feed into the desired imaging technology development. In addition Goleta Star has ...

    STTR Phase I 2016 Department of DefenseArmy
  9. Few-optical-cycle LWIR laser system

    SBC: Q-PEAK INCORPORATED            Topic: A14AT006

    Q-Peak, Inc. in collaboration with CREOL proposes to develop a novel concept of long-wave IR (LWIR) femtosecond laser system. Current laser systems suffer from complexity due to the use of multiple nonlinear stages to achieve the desired wavelength and have issues with power scaling. The proposed system will consist of 2.5 um femtosecond regenerative amplifier system pumping a single OPA stage bas ...

    STTR Phase I 2014 Department of DefenseArmy
  10. Using the Conditional Moment Closure Method to Assess the Effects of Turbulence Chemical Kinetics

    SBC: REACTION SYSTEMS, INC.            Topic: A16AT001

    The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...

    STTR Phase I 2016 Department of DefenseArmy
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