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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Machine Intelligence for Space Weather (MINTS)

    SBC: NEXTGEN FEDERAL SYSTEMS LLC            Topic: 95

    NextGen Federal Systems (NextGen), a Small Business Concern (SBC), is excited to propose a powerful software package, coupled database, and a machine-learning (ML) workflow to support streamlined evaluation and research-to-operations (R2O) of space weather ML models and techniques. In response to the NOAA Effect of Space Weather subtopic (NOAA SBIR 9.5), we propose the Machine Intelligence for Spa ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Scalable Physics Modeling of Jet Interaction Phenomena

    SBC: SPECTRAL ENERGIES LLC            Topic: MDA22T005

    As part of the STTR topic MDA22-T005, the Missile Defense Agency (MDA) is seeking to improve its modeling capabilities of hypersonic jet interactions especially for reaction control thrusters used for maneuvering at high-altitude. Current modeling approaches either lack the required fidelity or require large levels of computational resources making them not suited for trade studies, and ultimately ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  3. Signals of Opportunity Aided Inertial Navigation in GPS Denied Environments

    SBC: SPECTRAL ENERGIES LLC            Topic: MDA21012

    It is important to have accurate and reliable position, velocity, attitude, and time information. Spectral Energies, LLC (SE) shall develop Machine Learning (ML) and data fusion algorithms to fuse navigational cues from various external sources. During Phase I, SE designed, built and demonstrated a proof-of-concept device that obtains very-low frequency (VLF) signals and processed them for navigat ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  4. Unaided Inertial Navigation using Poly-Sensor Geometries for Enhanced Precision and Improved SWAP-C

    SBC: SPECTRAL ENERGIES LLC            Topic: MDA22D005

    An accurate inertial navigation system (INS) is a key aspect of many Department of Defense (DoD) weapon systems. These navigation systems can be made to be very accurate by using expensive, high precision inertial sensors and/or by the use of Global Positioning System (GPS) to correct for unavoidable errors that will arise and propagate in a traditional INS. However, recent advances by our adversa ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  5. ARMED Phase II

    SBC: EDAPTIVE COMPUTING INC            Topic: MDA21003

    Specifications of large, legacy systems can consist of thousands of requirements. Manually associating these requirements with architecture components is very time consuming. Given the number of MDA systems and simulations and their long legacies, the task of manually converting to architecture diagrams is challenging. To address this need, Edaptive Computing, Inc. (ECI) proposes the Automatic Req ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  6. Missile Defense Evaluation and Assessment Tool (MDEAT) Phase II

    SBC: INFINITY LABS LLC            Topic: MDA21008

    Infinity Labs proposes a Phase II solution that takes lessons learned and prototypes developed in Phase I to build the Missile Defense Evaluation and Assessment Tool (MDEAT). This tool will provide a means to analyze a missile defense system’s performance against multi-missile raid scenarios and portray results through intuitive visualizations. We will use our expertise to enhance AFSIM’s func ...

    SBIR Phase II 2023 Department of DefenseMissile Defense Agency
  7. ARMED: Automatic Requirements Mapping to Architecture Diagrams

    SBC: EDAPTIVE COMPUTING INC            Topic: MDA21003

    Specifications of large, legacy systems can consist of thousands of requirements. Manually associating these requirements with architecture components is very time consuming. Edaptive Computing, Inc. (ECI) proposes the Automatic Requirements Mapping to Architecture Diagrams, or ARMED solution, which specifically addresses the DoD need to automate the generation of architectures for complex systems ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  8. Automated System Architecture Tool

    SBC: Frontier Technology Inc.            Topic: MDA21003

    The overall objective of this topic is to develop an automated tool that can import specifications and interface requirements from specifications, DOORS modules, or spreadsheets and create a system architecture in a general modeling language. The objective of the Phase I effort is to develop a proof-of-concept that demonstrates the key features to create system architecture models from specificati ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  9. Missile Defense Evaluation and Assessment Tool (MDEAT)

    SBC: INFINITY LABS LLC            Topic: MDA21008

    Infinity Labs proposes a Phase I solution that will lay the foundation for a Missile Defense Evaluation and Assessment Tool (MDEAT). This tool will provide a means to analyze a missile defense system’s performance against multi-missile raid scenarios and portray results through intuitive visualizations. We will create a set of simulations to generate synthetic training and validation data. We wi ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  10. Signals of Opportunity Aided Inertial Navigation in GPS Denied Environments

    SBC: SPECTRAL ENERGIES LLC            Topic: MDA21012

    Spectral Energies (SE) will develop algorithms to fuse navigational fixes generated from various external sources. In this SBIR SE will demonstrate these algorithms by fusing Signals of Opportunities (SOP) with inertial navigation system (INS). During Phase I, SE will develop the necessary algorithms and demonstrate a proof-of-concept by fusing a SOP navigation approach with its existing inertial ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
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