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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. Story Mode for Teaching Cross-Curricular Coding Projects

    SBC: CODESPARK, INC.            Topic: 91990019R0012

    In previous R&D, the developers created codeSpark Academy, a game that employs a visual and block-based approach with puzzles to teach coding skills to students ages 5 to 9 years old. codeSpark Academy is in widespread use in and out of schools around the world. In this project, the developers will expand storytelling creative tools within the existing game. The pretend-play scenarios will include ...

    SBIR Phase II 2019 Department of EducationInstitute of Education Sciences
  2. Alane Solid Hydrogen Storage

    SBC: ARDICA TECHNOLOGIES, INC.            Topic: A16135

    Ardica has identified aluminum hydride (Alane) as the best candidate for solid hydrogen storage. Alane provides greater amounts of hydrogen stored compared to compressed hydrogen gas, including twice the hydrogen capacity on a per volume basis. During Phase I, Ardica demonstrated Alane’s use on a small scale, and has provided specifications for a full-sized hydrogen storage system to provide hyd ...

    SBIR Phase II 2019 Department of DefenseArmy
  3. Rapid and Agile Component Development Environment

    SBC: Physical Optics Corporation            Topic: A17082

    In Phase II, Physical Optics Corporation (POC) proposes to advance the development of the Rapid and Agile Component Development (RACD) tool suite. This tool suite consists of open-source tools and royalty-free, FACE/ARINC-661 software modules to rapidly implement a reusable pilot-vehicle interface (PVI) with updated functionality with minimal development effort and recertification. We conclusively ...

    SBIR Phase II 2019 Department of DefenseArmy
  4. Robotic Perception System for Casualty Pose Mapping

    SBC: Arete Associates            Topic: A17064

    The future battlefield, whether in cluttered urban environments or isolated rural areas, will increasingly rely on unmanned systems to provide support to the warfighter. Medical unmanned systems must be able to reliably identify and interact with patients in order to perform casualty evacuations, execute telemedicine or medical interventions, or precisely communicate the location of all injured pa ...

    SBIR Phase II 2019 Department of DefenseArmy
  5. UGV Electromagnetic Environment Interrogation and Exploitation

    SBC: TOYON RESEARCH CORPORATION            Topic: A17134

    Unsecured areas contain multiple threats. These threats include unknown radio frequency (RF) transmissions in the 2 MHz to 6 GHz frequency range. To assist in securing the area, there is a desire to detect, identify, locate, and potentially disrupt these RF transmissions. Due to the physical threats in the environment, a solution that can provide intelligence of the RF transmissions via an unmanne ...

    SBIR Phase II 2019 Department of DefenseArmy
  6. Surface-to-Air Weather Interface

    SBC: Physical Optics Corporation            Topic: N121075

    To address the U.S. Army’s need for a system to transmit localized wind data to increase the accuracy of air delivery of supplies, Physical Optics Corporation (POC) proposes to develop the Surface-to-Air Weather Interface (SUWI) system. For compatibility with the Joint Precision Airdrop System (JPADS), the SUWI design integrates the standard JPADS radio with POC’s Micro Weather Sensor (MWS) to ...

    SBIR Phase II 2019 Department of DefenseArmy
  7. DEEP FOCUS: USING DEEP LEARNING TO DISCERN TARGETS IN CLUTTERED RADAR

    SBC: CLOSTRA INC            Topic: A17133

    Deep Focus applies deep learning neural networks to Apache Fire Control Radar (FCR) targeting and target identification, with applicability to related systems. Recent innovations in deep learning theory and implementation have enabled neural nets to achieve what was once unthinkable: beat humans at complex image recognition skills, safely pilot cars over chaotic road systems, and overwhelm Grandma ...

    SBIR Phase II 2019 Department of DefenseArmy
  8. Light Field Imaging of Spectral Emissions from Particles and Gas Phases in Reacting Supersonic Flows

    SBC: METROLASER, INCORPORATED            Topic: A17120

    Missile plumes emit electromagnetic radiation that can alert adversaries to their presence, cause troublesome thermal loads to the missile, or temporarily blind the pilot of the release aircraft. Techniques are needed to measure the three-dimensional (3D) plume structure and associated spectral emission to obtain a better understanding of the physical processes governing plume radiation. A method ...

    SBIR Phase II 2019 Department of DefenseArmy
  9. Downrange Crosswind Sensor for Small Arms Fire Control

    SBC: Arete Associates            Topic: A12103

    Areté Associates proposes to develop a low-SWaP-C, rifle-mounted downrange crosswind sensor operating at the eye-safe wavelength of 1.5 microns for rapid ballistic correctional calculations. The sensor will use standard-issue batteries and include a simple user interface and display. The error on the crosswind measurement will be less than 1.5 m/s for winds from 0 to 20 m/s, up to a range of 1.5 ...

    SBIR Phase II 2019 Department of DefenseArmy
  10. Biometric Authentication and Identification (BAID)

    SBC: CHROMOLOGIC LLC            Topic: A17065

    In order to meet the US Army’s need for a biometric identification and access management system for medical personnel and patients for Android-based platforms for operation in situations with intermittent network access, ChromoLogic proposes to develop a Biometric Authentication and Identification (BAID) system. BAID consists of an Android OS application and biometric collection hardware leverag ...

    SBIR Phase II 2019 Department of DefenseArmy
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