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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. Plasmonic Fano-Metasurfaces for Optical Signal Processing

    SBC: NANOHMICS INC            Topic: SB173002

    Nanohmics Inc. in collaboration with Dr. Andrea Al propose to develop and experimentally demonstrate ultra-compact nonlinear-plasmonic all-optical switches and isolators that exploit sharp asymmetric plasmonic-resonances observed in sub-wavelength metasurfaces. Devices will be comprised of plasmonic gratings that couple light into Long Range Surface Plasmons (LRSPs). The gratings are engineered to ...

    SBIR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. GR-TDM: A Framework for Design Space Exploration of Hardware Trojan Detection and Mitigation Tradeoffs

    SBC: GRAF RESEARCH CORPORATION            Topic: SB173004

    As integrated circuit dimensions shrink and U.S. fabrication facilities age, U.S. ASIC developers are increasingly turning to overseas foundries for the latest process nodes in device fabrication.This migration is especially impactful for DoD designers as critical military technology needs to be trusted and offshore fabrication has the potential to expose chips to malice during manufacture.Sensiti ...

    SBIR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  3. Distributed, Large Scale Spectrum Measurement and Analysis

    SBC: SHARED SPECTRUM COMPANY            Topic: SB162011

    Shared Spectrum Company (SSC), Intelligent Software Solutions (ISS), and the University of Tennessee at Chattanooga (UTC) propose to develop and demonstrate an innovative method for a large number (~50) of low altitude UAV to obtain information on spectrum use and activities. Our approach has multiple innovations: (1) ISS’s Seer, a “fuzzy” multi-hypothesis abductive reasoning system that pro ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  4. ArrayFire-ML: An Accelerated Open Source Machine Learning Primitives Library

    SBC: Accelereyes LLC            Topic: SB132002

    Numerous machine learning frameworks exist, each with highly variable support for accelerated computing (e.g. Graphics Processing Units (GPUs), Field-Programmable Gate Arrays (FPGAs), etc). A library of machine learning primitives could support the many disparate frameworks and boost the advancement of machine learning research and programs, such as those underway in the DARPA Data-Driven Discover ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  5. Managing Emergent Behavior of Interacting Autonomous Systems

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: SB162005

    This SBIR Phase I project will develop generalized bio-inspired computational models and enable meta-heuristics for distributed multi-agent systems. We will draw empirical results and models for individual and collective strategies in social insects by f...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. Assessing Deterrence in the Gray Zone

    SBC: STRATEGIC ANALYSIS ENTERPRISES INC            Topic: SB163008

    The proposed project seeks to develop an end-to-end data driven system to estimate the effects of historical and forecast the effects of future deterrent courses of action (COAs) against Gray Zone challengers. US conventional military power regularly deters adversaries from employing large-scale conventional forces against US interests; however, this success often motivates adversaries to pursue G ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  7. Cross-Domain Signal Extraction Using Sparse Network Sampling

    SBC: IVYSYS TECHNOLOGIES, LLC            Topic: A11028

    This research project seeks to adapt signal processing algorithms developed for the detection and estimation of weak RF network signals to the application of detecting weak social media signals diffusing across multiple, heterogeneous social networking environments (SNEs). We propose to develop quantitative predictive models that capture the dynamics of information diffusion processes over multipl ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  8. Detecting Systematic Intervention in Online Discourse in or to Gain Insight onto Government Priorities

    SBC: Thresher Ventures            Topic: SB171008

    As authoritarian leaders take action to control online content, they leave behind an outline of their priorities and prove a willingness to act. When collected and analyzed at scale, online intervention can be used to assess the concerns of the intervening government across several policy categories, including military affairs and foreign policy. In our Phase I equivalent research, we established ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  9. Pulse Radar for Inferring Intent from Social Media (PRIISM)

    SBC: IST Research Corp.            Topic: SB171009

    PRIISM (Pulse Radar to Infer Intent from Social Media) will advance IST Research’s Pulse Platform for online data monitoring and active audience engagement to build a tool that automatically detects intent to act to harm US overseas forces expressed through publicly available information (PAI). PRIISM will revolutionize the way intentions and threats are detected online by combining Pulse’s in ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  10. Fast Synthetic Scene Generation for Directed Energy Applications

    SBC: TAU TECHNOLOGIES LLC            Topic: AF071010

    Large populations of interacting agents or swarms, are common throughout nature and society and, increasingly, in mechanical and electronic domains. Although the individual agents in such systems are governed by local rules, their collective behavior is often well-orchestrated to solve complex tasks, whether fighting disease, navigating through space to find resources, or to manage social interact ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
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