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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.

Displaying 71 - 80 of 3286 results
  1. Detection in IR with Incremental Low-shot Learning (DIRILL)

    SBC: PHYSICAL SCIENCES INC.            Topic: A20043

    Physical Sciences Inc. (PSI) proposes the continued development of the Detection in IR with Incremental Low-shot Learning (DIRILL) algorithm suite, which integrates state-of-the-art machine learning object detection and classification capabilities with thermal IR sensors using low-shot training techniques. DIRILL will ultimately interface with existing Army platforms to support Aided Target Recogn ...

    SBIR Phase II 2022 Department of DefenseArmy
  2. MEMS Optical Cavity with Anomalous Dispersion (MOCAD)

    SBC: ENGENIUSMICRO LLC            Topic: A20011

    Sensitivity enhancement of optical inertial sensors has shown to be possible by using anomalous dispersion media. Although the scale factor and signal to noise ratio can be greatly improved by exploiting anomalous dispersion the signal extinction is a major issue. Our previous effort demonstrated critical components to achieve millimeter scale optical cavities with anomalous dispersive gas media ...

    SBIR Phase II 2022 Department of DefenseArmy
  3. Additive Nanostructured Arrays for Broadbank Anti-Reflectivity

    SBC: TRITON SYSTEMS, INC.            Topic: A20045

    Triton proposes to continue developing a high throughput additive nanofabrication process to produce nanostructured arrays on larger area infrared optical elements, both flat and curved. Nanostructured surfaces on visible and near infrared optics have demonstrated superior performance and have been implemented in a variety of military and commercial applications. Affordable production of large-are ...

    SBIR Phase II 2022 Department of DefenseArmy
  4. Continuous-Time Digital Signal Processing (CTDSP) Using Reconfigurable Devices

    SBC: IERUS TECHNOLOGIES INC            Topic: A20080

    Modern missile systems require tremendous amounts of signal and information processing using constrained resources in an extreme environment.  Multi-spectral sensors, high-bandwidth communications, and supersonic flight control demand significant processing power, while space and weight constraints limit available power and heat dissipation. It is uncertain that conventional Digital Signal Proces ...

    SBIR Phase II 2022 Department of DefenseArmy
  5. Compact Hemispherical Coverage Early Warning Detection and Track Sensor for Multi-Mission Applications

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: A20087

    Early Warning Systems (EWS’s) have historically relied on radar technology to scan the skies of protected air space to provide alerts and tracking data of threats.  Many directed energy weapon systems utilize EWS radar for cuing high resolution optical tracker/classifiers that provide aimpoint coordinates for the kill laser.  EWS radar technology is effective, but high resolution full hemisphe ...

    SBIR Phase II 2022 Department of DefenseArmy
  6. Identifying and Enabling Emerging Technology Leaders

    SBC: Synovix, Inc.            Topic: A214001

    1. Collaborate with Army to summarize a corpus data set of representative selection criteria for Army Emerging Technology Leaders (ETL):WSI team develops the “fingerprint” for Army ETL requirements including the Army Modernization Plan. Use the Elsevier Fingerprint Engine (FPE) with machine learning (ML) and Artificial Intelligence (AI)-based techniques to analyze the unstructured text of ETL ...

    SBIR Phase I 2022 Department of DefenseArmy
  7. Bias-Reducing Aptitudes and Needs Classifier for Honing ETL Recruitment (BRANCHER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A214001

    Army talent management processes are continually evolving to meet the needs of emerging challenges and technological advancements. A new initiative by the Army aims to identify uniformed experts, who will be designated as "Emerging Technology Leaders" (ETLs), to facilitate communication between research and operational communities. A solution that automates labor-intensive portions of this search ...

    SBIR Phase I 2022 Department of DefenseArmy
  8. Hypersonic-capable RF Components for Smart Munitions

    SBC: TRITON SYSTEMS, INC.            Topic: A21CT002

    Triton Systems, Inc. (developer of breakthrough technologies and products) and our academic partner propose an innovative approach to incorporate RF transparent windows, conformal antenna technology, and supporting apertures on gun-launched smart projectiles with hypersonic capability.  Our conceptual design combines a novel hypersonic-proven RF transparent window with an innovative approach to d ...

    STTR Phase I 2022 Department of DefenseArmy
  9. High Energy Density Resin Systems for Additive Manufacturing of Explosive and Propellant Formulations

    SBC: PHYSICAL SCIENCES INC.            Topic: A21CT004

    The Army needs to develop energetic formulations suitable for additive manufacturing. One approach is to tailor energetic prepolymers and plasticizers to enable rapid curing. This would lower manufacturing costs, increase manufacturing throughput as well as increase the range and lethality of the system it is incorporated into. To date, the problem with energetic polymers and additive manufacturin ...

    STTR Phase I 2022 Department of DefenseArmy
  10. 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
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