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Award Data

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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. WesTest Hardware Modeler for LASAR Digital Device Simulationcompatible with the VDATS Di-Series digital subsystem

    SBC: WESTEST ENGINEERING CORP            Topic: AF172005

    Many custom and hybrid integrated circuits (ICs) and custom electronic components cannot bemodeled in simulation software because of their complexity and/or lack of technical data.TPS developers need to use a hardware modeler for these types of integrated circuits.The proposed WesTest Hardware Modeler will be compatible with LASAR and the VDATS Di-Series digital subsystem.It utilizes the Teradyne ...

    SBIR Phase I 2018 Department of DefenseAir Force
  2. TCDL MIMOnizerEmpowering TCDL with MIMO Functionality

    SBC: EPISYS SCIENCE INC            Topic: AF173003

    Towards the goal of enabling MIMO capabilities for TCDL radios while maintaining full backward compatibility, we propose the design, development and demonstration of TCDL MIMOnizer, a new appliqu aimed to empower TCDL modems with MIMO capabilities with minimum hardware modifications to the legacy radio such as smart low-lost bolt-on module or smart add-on antenna. In onedesign scenario, the MIMOni ...

    SBIR Phase I 2018 Department of DefenseAir Force
  3. Turbine Exhaust Gas Temperature (EGT) Sensor Development: FBG-Based Sensing using Sapphire Optical Fibers

    SBC: OPTOXENSE, INC.            Topic: AF173004

    EGT measurement in gas-turbine engines is considered a key parameter for optimizing fuel economy and PHM systems.Currently, direct EGT measurements made on turbine modules are limited due to the ultra high temperature (UHT) environment. Accurate EGT measurements and durable sensors are of specific importance for high-performance military turbine engines.optoXense will develop a new FBG-based EGT s ...

    SBIR Phase I 2018 Department of DefenseAir Force
  4. Automated Parametric Discretization Tool for High-Fidelity Hypersonic Design Analysis

    SBC: HYPERCOMP INC            Topic: AF173007

    Great strides have been made in computational physics algorithms and computational power, allowing for fast computer-aided engineering (CAE) solutions of ever larger simulations involving such fields as fluid dynamics (CFD), electromagnetics (CEM) and structural mechanics (CSM). However, mechanical computer-aided design (CAD) data preparation and manipulation continues to dominate most CAE activit ...

    SBIR Phase I 2018 Department of DefenseAir Force
  5. Bayesian Multi-Domain Evaluation Tool

    SBC: Physical Optics Corporation            Topic: AF173009

    To address the Air Forces need for a tool to evaluate, understand, and predict key influential technology areas within a multi-domain, Air Force-centric future challenge, Physical Optics Corporation (POC) proposes to develop a new Bayesian Multi-Domain Evaluation Tool (BAMDET) based on novel integration of a new analyst interface with a backend software component built around recent advances in pr ...

    SBIR Phase I 2018 Department of DefenseAir Force
  6. Identifying and Predicting Influential Factors Across the Materiel and Non-Materiel Solution Spectrum for Complex, Multi-Domain USAF Challenges

    SBC: Clear Aspect Solutions, LLC            Topic: AF173009

    Clear Aspect Solutions (CAS) offers the Capabilities-Based Assessment Tool (CBAT) as the enabling analytical capability that already meets and even exceeds SBIR Phase I objectives.CBAT has been on a trajectory that currently finds it achieving some SBIR phase II objectives.CAS designed CBAT with a JCIDS driven architecture consistent with SDPE/PFD processes; already meets the SBIR Phase I technica ...

    SBIR Phase I 2018 Department of DefenseAir Force
  7. Integrated Dynamic Digital Engineering Ecosystem Cost-Model

    SBC: INSPIRD INC.            Topic: AF173010

    Digital Engineering (DE) is the collaborative use of digital artifacts and tools to perform engineering functions. DE will improve acquisition, management, and engineering of defense systems throughout their lifecycles. Realizing these benefits will require deployment of an ecosystem that will impact people, process, tools and IT infrastructure; and incur related costs.Many architectures are possi ...

    SBIR Phase I 2018 Department of DefenseAir Force
  8. Lifecycle Cost Modeling Tools for Elements of a Digital Engineering Ecosystem

    SBC: Galorath Incorporated            Topic: AF173010

    The Digital Engineering Ecosystem (DE) presents tremendous opportunity for DoD and industry, and yet, a far-reaching and expensive development such as DE requires careful planning. Galorath proposes to develop plug-ins for the SEER-IT estimating platform, to capably assist in establishing the lifecycle cost of DE ecosystem options.

    SBIR Phase I 2018 Department of DefenseAir Force
  9. Closed-Loop Feedback Control for Transcranial Direct Current Stimulation

    SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC            Topic: AF17BT002

    Because of rising demand for human analysts and more efficient processing of increasingly large and challenging amounts of intelligence, human limitations on mental workload, cognitive fatigue, and attentionor task engagement, need to be accurately monitored in real-time in order to provide sensitive detection of impaired cognitive states. It is a challenge to continuously monitor these cognitive ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Directional Cross-Layer Networking Solution

    SBC: FUSE INTEGRATION, INC.            Topic: AF17BT003

    Currently networks are not taking advantage of the inherent benefits of high multi-beam directional networking. For example, the current MADL implementation simply daisy chains the nodes in the network creating multiple single points of network failure (of course retaining self-healing properties.) The Fuse Directional Cross-Layer Networking Solution (DCLNS) optimized architecture features a robus ...

    STTR Phase I 2018 Department of DefenseAir Force
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