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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. Continuous Learning for Additive Manufacturing Processes Through Advanced Data Analytics

    SBC: SENVOL LLC            Topic: NA

    Additive manufacturing (AM) is a promising manufacturing technique for end-use parts that can solve challenges for American manufacturers in many industries, e.g. aerospace, defense, automotive, energy, and healthcare. However, despite the potential that AM offers, the rate of AM adoption in industry is very slow. This is because AM suffers from low repeatability and quality consistency issues, wh ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  2. A Location-based Weather Threat Tracking and Notification System

    SBC: CFD RESEARCH CORPORATION            Topic: 834

    TECHNICAL ABSTRACT: CFDRC proposes the creation of an innovative location-based threat tracking and notification system to allow users to receive hazardous weather messages from the NWS with their call to action, allow users to receive custom-tailored messages about threats, and visualize relevant weather information within their area. The focus is on a tool that allows this information to be comm ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. Rotorcraft Fuel Bladder Weight and Total Ownership Cost Reduction

    SBC: Response Technologies, LLC            Topic: DLA182001

    Response Technologies will attempt to qualify to MIL-DTL-27422Fs phase I performance testing criteria for thefuel cell test cubes[Class BSemi rigid or self-supporting fuel construction, Type ISelf-sealing, and Protection Level CFull self-sealing against 50 caliber and partial self-sealing against 14.5 mm] .Response Technologiesuses an additive manufacturing process that initially creates a textile ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  5. Additively Manufactured Inflatable Hulls- Improved Survivability- 20% Total Ownership Cost Reduction

    SBC: Response Technologies, LLC            Topic: DLA152001

    Seam failures of flexible inflatable hulls is the primary reason for failures of military RHIBS and CRCs.These failures are a result of the current manufacturing methods being used, and which have been in place for over fifty years.Whats more, the manufacturing methods and fragmented supply chain of these hulls result in very long and unreliable lead times.These shortcomings impact the survivabili ...

    SBIR Phase II 2018 Department of DefenseDefense Logistics Agency
  6. An Automated Test Bed for Assessing System-of-System (SoS) Assurance

    SBC: DeVivo AST, Inc.            Topic: 9040177R

    As System-of-Systems (SoS) become more complex, interactions and latent emergent behaviors become difficult to identify and control. Unmanned Autonomous Systems (UAS) are a prime example of SoS that are both critical and difficult to assure. Drawing upon prior work into multi-criteria decision making (MCDM), DeVivo AST has developed TOP Score, a software tool that facilitates the modeling and anal ...

    SBIR Phase I 2011 Department of CommerceNational Institute of Standards and Technology
  7. Technology Transfer of Multimodal Biometric Application Resource Kit (MBARK)

    SBC: Ad Harmony            Topic: N/A

    The technical objective of this project is to develop a prototype of a face recognition application in a cloud computing environment utilizing MBARK as the middleware. The application will have a client piece that will run on a mobile device such as a laptop and a server piece that will run on a higher-performance computing cluster. The specific objectives of this development project can be enumer ...

    SBIR Phase II 2011 Department of CommerceNational Institute of Standards and Technology
  8. Development of a GPU-based High Performance Community Radiative Transfer Model

    SBC: Hyper Sensing, LLC            Topic: 835D

    Computation of the radiative transfer model for a hyperspectral sounder with thousands of spectral channels is very time-consuming. Consequently, operational data assimilation systems can assimilate only a few hundred channels. The radiative transfer model is very suitable for GPU implementation to take advantage of GPU massively parallel computing capability, where radiances at various channels c ...

    SBIR Phase I 2011 Department of CommerceNational Oceanic and Atmospheric Administration
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