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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. Cooperative RF-Trail Based closed, confined, and constrained Environment Navigation System

    SBC: PRIXARC LLC            Topic: DTRA182002

    Small multirotor Unmanned Aerial Vehicles (UAVs) are well suited for sensing and situational awareness missions in closed, confined, and constrained (C3) environments. However, autonomous navigation of small VTOL UAVs is very challenging in C3 environments. Current state of the art navigation methods uses vision and LIDAR to build a map, localize, and plan paths. These methods tend to be computati ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  2. High-Fidelity Diagnostics of Aerosols and Vapors at High Temperatures and Pressures

    SBC: SPECTRAL ENERGIES LLC            Topic: DTRA182003

    There is a need to improve the understanding of physical and chemical processes involved in the evolution of chemical warfare agent (CWA) simulant aerosols and vapors that are interacting with combustion, deflagration, and detonation products. However, the measurement of aerosols and vapors is very challenging because of limited knowledge of the photophysics at varying temperatures and pressures, ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  3. A Deep Learning Approach for Enhanced Discrimination of Nuclear Weapons Testing

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    Seismic, hydro acoustic, and infrasonic (SHI) analyses possess many desirable properties, such as long-distance wave propagation and attributable spectral characteristics. They have been, by large, relegated to capturing massive explosions, earthquakes, bolides, and space-bound rocket launches. Although machine learning techniques have been employed on various military and commercial projects, rar ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  4. High Efficiency Cyclone Separator for Sub-micron Particle Concentration

    SBC: MAINSTREAM ENGINEERING CORP            Topic: DTRA182006

    The Radionuclide Aerosol Sampler and Analyzer (RASA) is a completely automated monitoring system that detects airborne radioactive particles and is one of the detection systems used in the U.S. and global International Monitoring System (IMS) of the Comprehensive Nuclear Test Ban Treaty Organization (CTBTO) to detect nuclear detonations. Mainstream proposes develop a high-efficiency cyclone separa ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  5. Advanced Solutions for Radiation Susceptibility Analysis & Prediction

    SBC: DFR SOLUTIONS, LLC            Topic: DTRA162006

    The increasing complexity of devices, reduced budgets and accelerated program timelines, requires a new approach to predicting radiation of integrated circuit (IC) designs. Most approaches to date require gate level analysis and do not scale easily to device level calculations, leading to methods that are note practical under most program timeline and cost budgets. Previously, DfR Solutions has de ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  6. Application of Ultra-Low Cost Differential Pressure Sensors to the Large N Acoustic Sensor Problem

    SBC: TDA RESEARCH, INC.            Topic: DTRA172001

    TDA Research, Inc. (TDA), designed, built, and tested a dense array of 100 very low cost infrasonic sensors. Due to their low cost (1/100x-1/10x the cost of other infrasound sensors), they can be economically deployed in very large numbers; such large arrays can gather more information than a few expensive sensors. They are sensitive from 0.1 Hz - 100 Hz down to 0.08 Pa. We tested the sensors in s ...

    SBIR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  7. Advanced Data Management and Mining for BMDS Digital Simulations

    SBC: EDAPTIVE COMPUTING INC            Topic: MDA18011

    The MDA relies on complex simulations to test and enhance capabilities of the ballistic missile defense system. This requires extensive simulation and analysis of results. As simulations become more advanced, they produce more data. It is essential to begin now to develop improved techniques to manage this increased data and make it more accessible for analysis. Simulation data must be analyzed to ...

    SBIR Phase I 2019 Department of DefenseMissile Defense Agency
  8. BSM-KD: BMDS Simulation Mining for Knowledge Discovery

    SBC: Intelligent Automation, Inc.            Topic: MDA18011

    The Missile Defense Agency (MDA) is currently producing hundreds of terabytes of simulation data per year and will soon be producing petabytes every year. A system is needed to ingest, host, and analyze both batch and streaming simulation data sources. These simulations could represent tests at a variety of locations, using a diverse set of hardware, and at a significant range of scales. Analysis ...

    SBIR Phase I 2019 Department of DefenseMissile Defense Agency
  9. FISA –Flexible Integrated Simulation Architecture

    SBC: SEED INNOVATIONS, LLC            Topic: MDA18012

    Seed Innovations applies our experience in framework development, modeling and simulation, automatic code generation, and software architecture to accomplish the research for the SBIR topic: Model Level Integrated Simulation Architecture for Collaborative Development. Through the research on this project, Seed Innovations designs and develops a prototype system, the Flexible Integrated Simulation ...

    SBIR Phase I 2019 Department of DefenseMissile Defense Agency
  10. radGPU- Radiation Hardened GPU in a CubeSat

    SBC: Intelligent Automation, Inc.            Topic: MDA18015

    Traditional CPUs are falling short to meet high performance real-time processing needs of modern sensor technology (imaging, video, signals intelligence are critical needs for satellite image analysis and sensor control). There is a growing need to deploy GPUs along with modern sensors in the LEO and MEO (inner Van Allen Belt) and survive the radiation effects for 2-5 years. IAI’s solution will ...

    SBIR Phase I 2019 Department of DefenseMissile Defense Agency
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