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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. Virtualized Trusted Internet Connection (vTIC)

    SBC: METRONOME SOFTWARE, LLC            Topic: 19OATS003

    Metronome Software proposes the research and development of a VIRTICONN, a zero-trust system for Virtualized Trusted Internet Connections (vTIC). The effort aims to overcome the limitations of traditional network security to provide authenticated users access to private resources, typically via a VPN or TIC. This older approach increases the attack surface of an internal system as each user is rep ...

    SBIR Phase II 2019 Department of Homeland Security
  2. 81mm Mortar Guidance Package

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: SOCOM182001

    OKSI will design and build a Precision Guidance Seeker (PGS) for the 81 mm munition. We will enhance and port our target acquisition and tracking algorithms to a real-time processor onboard the PGS, which will receive target-scene imagery prior to launch or while in flight and will deploy post apogee. OKSI will test the algorithms extensively with a wide range of military-relevant real-world data ...

    SBIR Phase II 2019 Department of DefenseSpecial Operations Command
  3. Generalized Change Detection to Cue Regions of Interest

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181006

    Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  4. Athena: Fully implantable stimulation and recording platform

    SBC: RIPPLE LLC            Topic: SB172001

    We propose to develop an implantable Athena device to enable translation of neuroscience research from the lab to real-world environments. Ripple's Athena will include multichannel stimulation and recording, far-field telemetry, intraoperative connectors, and an implantable battery. We will complete development of Athena is this Phase II SBIR with final pre-clinical qualification testing to suppor ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  5. Decision Support Toolkits for Sytem of Systems Level Risk Modeling

    SBC: MICHIGAN ENGINEERING SERVICES LLC            Topic: 19OATS002

    DHS is preserving the safety and the security of America by preventing, foiling, and defeating attacks from a variety of adversaries. The increasing threats (both in terms of numbers and in terms of abilities) must be addressed successfully while facing an austere budget environment. In order to be able to "do more with less" having a capability for optimizing the resources and the assets which ar ...

    SBIR Phase II 2019 Department of Homeland Security
  6. Lightweight AEHF Modem for Manpack

    SBC: ESCAPE COMMUNICATIONS, INC.            Topic: AF131138

    The primary objective of this Phase II proposal is to reduce the size, weight, and power (SWAP) needed to implement ground terminal electronics for protected waveforms such as AEHF and PTW. Specifically, this Phase II effort will reduce the SWAP of the baseband signal processing and demonstrate AEHF terminal functionality on the reduced-SWAP platform. The development effort includes the design and ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  7. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA172002

    Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  8. Dual-Mode, Extended Near-Infrared, Focal Plane Arrays Fabricated with CMOS Compatible GeSiSn Alloy Materials

    SBC: FREEDOM PHOTONICS LLC            Topic: SB162010

    Freedom Photonics and its team partners propose to develop in this program a novel Focal Plane Array (FPA) based on Germanium Silicon Tin (GeSiSn) on Silicon technology, capable of detecting wavelengths in the Shortwave Infrared (SWIR) range, up to 2200 nm. The FPAs will be developed in PIN photodiode and Avalanche Photodiode (APD) configuratios. These FPAs have the potential of providing low cost ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  9. Nonlinear Plasmonic Structures and Devices (TALON)

    SBC: ZIVA CORPORATION            Topic: SB173002

    Ziva’s proposed Ultra nonlinear Plasmonics (TALON) technology addresses the critical DoD need to miniaturize on chip tunable and non-linear photonic components and devices. Ziva’s TALON based modulator exploits metamaterial based, composite materials for the waveguide section cladding layers and for the non-linear interaction sections. Using metamaterial based composite cladding layers for the ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  10. Advanced Image Segmentation for Radar Imagery

    SBC: ELECTROMAGNETIC SYSTEMS, INC.            Topic: NGA172004

    Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
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