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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. Resource Intelligent VPU Utilization Leading to an Effectively Threaded System (RIVULETS)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: A15102

    To improve performance of Army CFD codes on new HPC architectures using MIC co-processors, we propose the RIVULETS tool which uses hybrid algorithms and automatic tuning to decrease CFD run-time and improve numerical performance. Existing CFD codes are parallelized using MPI, a highly effective approach for distributed architectures with large quantities of system memory and relatively simple seri ...

    SBIR Phase I 2016 Department of DefenseArmy
  2. Formal Synthesis and Verification Techniques for Autonomous Cyber-Physical Systems

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: AF14AT06

    ABSTRACT: SIFT's Phase 2 Hy-CIRCA proposal builds on progress in Phase 1 to address the challenge of effectively, reliably, and safely tasking cooperating teams of autonomous cyber-physical systems (CPSs). SIFT's Playbook(tm) interface approach provides high-level, goal-based tasking for multi-agent autonomous missions. SIFT's Cooperative Intelligent Real-Time Control Architecture (CIRCA) automa ...

    SBIR Phase II 2016 Department of DefenseAir Force
  3. CADET (Cognitive Assessment During Evaluation and Testing)

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: N16AT002

    We propose CADET (Cognitive Assessment During Evaluation and Testing), a flexible and minimally intru-sive machine learning enabled software sensor that classifies environmental, human behavior, and physiolog-ical features to measure and predict near real time workload (WL) and performance. We will combine SIFT's prior WL research in zero-intrusion techniques in linguistics, keyboard dynamics and ...

    STTR Phase I 2016 Department of DefenseNavy
  4. A New MOCVD Platform for Commercially Scalable Growth of-Ga2O3 Device Structures

    SBC: AGNITRON TECHNOLOGY, INC.            Topic: N16AT023

    Future DoD and Navy missions require advances in current high voltage power electronics technology as existing technology and even recent promising advances in Silicon Carbide and Gallium Nitride based materials lack fundamental material properties to deliver switching capabilities needed for future high power converter applications, advanced radar and propulsion systems. Much interest has been re ...

    STTR Phase I 2016 Department of DefenseNavy
  5. Nighttime Alleviation Play & Practice (NAPP)

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: DHP14003

    NAPP is a 3rd person 3D role-playing adventure gaming app built for Android and iOS platforms. NAPP integrates real-world data from current health management systems and offers interactive feedback about own behaviors as part of an engaging game storyline. The game integrates evidence-based psychological theories of behavioral change and provides individually tailored feedback. Sleep hygiene knowl ...

    SBIR Phase II 2016 Department of DefenseDefense Health Agency
  6. Security & Safety Co-Analysis Tool Environment (SSCATE)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: DHP15004

    Health Delivery Organizations (HDOs), including the Military Health System, are increasingly using networked medical devices to benefit from improved information accuracy, lowered costs, and improved patient outcomes. These benefits, however, are threatened by the security risks posed by the interactions between the networked devices, and their connection to IT systems which are at risk of cyber a ...

    SBIR Phase II 2016 Department of DefenseDefense Health Agency
  7. State Linked Interface Compliance Engine for Data (SLICED)

    SBC: ADVENTIUM ENTERPRISES, LLC            Topic: N162101

    Despite gains in component cohesion due to FACEs data-modeling standard and approach, integration of UoPs still presents a significant challenge for system integrators. The UoP data models required by FACE are necessary but not sufficient; FACE does not currently provide mechanisms to describe behavioral aspects of communication such as sampling rates, messaging patterns, latency requirements, and ...

    SBIR Phase I 2016 Department of DefenseNavy
  8. Monolithic Spin-Torque Microwave Diode Spectrograph

    SBC: NVE CORP. (FORMERLY NONVOLATILE ELECTRONICS, INC.            Topic: A16AT016

    This Phase I Small Business Technology Transfer program will simulate and demonstrate the feasibility of a Spin-torque microwave diode spectrograph for real-time determination and monitoring of incident microwave signals. The microwave detection will be performed by a bandwidth encompassing parallel array of nano-patterned magnetic tunnel junctions (MTJs). When an ac current of microwave frequency ...

    STTR Phase I 2016 Department of DefenseArmy
  9. Prediction of Boundary Layer Transition on Hypersonic Vehicles in Large-Scale Wind Tunnels and Flight

    SBC: VIRTUSAERO LLC            Topic: AF161024

    For a vehicle in hypersonic flight, the natural transition of a boundary layer from laminar to turbulent flow depends on multiple factors including the free-stream conditions, the noise level and frequency spectrum of free-stream disturbances, the geometry of the vehicle and the vehicle surface properties.To predict boundary layer transition for flow over a given vehicle, one or more of these fact ...

    SBIR Phase I 2016 Department of DefenseAir Force
  10. GEMINI: Gestalt Mixed-Initiative Intelligence

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: AF161045

    ABSTRACT: SIFT proposes to build GEMINI (Gestalt Mixed-Initiative Intelligence), a shared workspace where humans and machines collaboratively assemble intelligence products. In a human-machine team, the collaborators have vastly different-- albeit complementary-- cognitive capabilities. Thus, a central research challenge is to expressively and soundly translate from analyst-centric interfaces (for ...

    SBIR Phase I 2016 Department of DefenseAir Force
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