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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. Nondestructive Concrete Characterization System

    SBC: KARAGOZIAN & CASE, INC.            Topic: A21CT012

    Karagozian & Case, Inc. (K&C) and the University of Nebraska-Lincoln (UNL) are proposing to develop the small, portable, and low power Non-Destructive Testing and Evaluation (NDT/NDE) field device requested in Army STTR Topic A21C-T012. The device will be capable of accurately returning to estimate the strength, thickness, and reinforcement of reinforced concrete (RC) structures up to 6 feet thick ...

    STTR Phase I 2022 Department of DefenseArmy
  2. Self-Supervised Training in Geospatial Applications with a Robust Hierarchical Vision Transformer (STAR)

    SBC: UNIVERSITY TECHNICAL SERVICES, INC.            Topic: OSD22A001

    Satellite Imagery in Geospatial Intelligence (GEOINT), in conjunction with imagery intelligence (IMINT), geospatial information, and other means of gaining intelligence, has greatly improved the potential of the warfighter and decision makers enabling them to gain a more comprehensive perspective, an in-depth understanding, and a cross-functional awareness of the operational environment. The Artif ...

    STTR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  3. Terrain Strength Estimation Using Remote Sensing for Route Planning and Real Time Autonomous Mobility

    SBC: AUGMNTR, INC.            Topic: A21CT021

    Terrain strength data are critical inputs to autonomous maneuverability and off-road mobility platforms. Soil strength is a complex variable that varies in both space and time and is a function of the soil composition, density, structure, and moisture content. Because of the interplay of these factors, estimation of terrain strength using remote sensing is unlikely to be successful if it relies on ...

    STTR Phase I 2022 Department of DefenseArmy
  4. Computationally Driven Reliability & Repeatability for Wire Arc Additive Manufacturing of High Strength Maraging 250 Steel

    SBC: SOLVUS GLOBAL LLC            Topic: A21CT023

    Challenge: Long lead times, vendors going out of business, and unreliable quality control for advanced materials are creating an unstable supply chain for production of large format components, particularly those made of specialty materials. Large area additive manufacturing has been identified as the ideal way to onshore manufacturing and create a flexible, sustainable supply chain for critical h ...

    STTR Phase I 2022 Department of DefenseArmy
  5. In situ monitoring to increase reliability of large scale cold spray additive manufacturing

    SBC: ELEMENTUM 3D, INC.            Topic: A21CT023

    The proposed project seeks to increase the reliability of cold spray additive manufacturing (AM). Cold spray technology has been developed into a large format (1 m x 1 m in x-y) commercial AM system (called WarpSPEE3D) by the Australian company SPEE3D. The Australian Army is currently testing the enclosed, modular AM system in the Australian “bush” as a field-ready AM system. Supply chain and ...

    STTR Phase I 2022 Department of DefenseArmy
  6. Broadband Optical Attenuator via Amplified Free Carrier Absorption

    SBC: PHYSICAL SCIENCES INC.            Topic: A21CT007

    The blinding or disabling of focal plane arrays (FPAs) can greatly impair situational awareness for the warfighter. Some passive technologies, such as filters, can selectively remove certain wavelengths if those wavelengths are known to be threats, but there exists a need for a technology that can 1) attenuate 99.9% of high intensity light in a localized region within the viewing area, 2) perform ...

    STTR Phase I 2022 Department of DefenseArmy
  7. Counter-UAS Novel Testbed and Enhanced Radar (CoUNTER)

    SBC: PSEUDOLITHIC INC.            Topic: A21CT009

    PseudolithIC Inc. and Michigan State University (MSU) are pleased to offer the CoUNTER proposal to address the threat posed by the proliferation of Unmanned Aerial Systems (UASs) with a codesigned hardware-signal processing approach. This proposal combines the benefits of mm-Wave signals, advanced MIMO architectures and novel micro-Doppler signal processing to deliver superior active radar perform ...

    STTR Phase I 2022 Department of DefenseArmy
  8. 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
  9. Population Behavioral Analysis at Scale, AOR Modeling

    SBC: DEEP LABS INC            Topic: SOCOM22DST01

    Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  10. Dilute Waveguide SOAs for high power and low noise applications

    SBC: ULTRA-LOW LOSS TECHNOLOGIES LLC            Topic: A21CT008

    Low noise optical amplifiers with watt-class optical power are a critical component for a variety of applications such as free space optical communications, light detection and ranging (LIDAR), high-performance microwave photonics (MWP) and so on. Traditionally, such applications have utilized erbium doped fiber amplifiers (EDFAs). Although capable of generating high powers and the required low-no ...

    STTR Phase I 2022 Department of DefenseArmy
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