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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. SHAPE-BASED GENERALIZATION BOUNDS FOR DEEP LEARNING

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: NGA20A001

    We propose to develop a theoretical understanding of the relationship between intrinsic geometric structure in both training and latent data and characteristics of functions learned from that data for deep neural network (DNN) architectures. Along the way we propose to also understand the structure of the neural networks that are best trained on a given data set. Both of these theories will lead t ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Hierarchical State Machine Visualization in Multi-Robot System

    SBC: Rocket Studios, LLC            Topic: T4

    Swarms of space vehicles rely on cooperative operations to perform scheduled tasks. This project proposes to improve the design process and operation control of a multi-agent system by using Hierarchical state machines (HSMs). The research will look into theoretical frameworks and methods to visualize HSMs dynamics representing the behavior of a multi-agent system. How an interactive user interfac ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  4. Trusted Working Copies for Distributed Systems Engineering

    SBC: PREWITT RIDGE INC            Topic: T11

    Prewitt Ridge, Inc proposes Trusted Working Copies, a project integrating blockchain technology into a model-basednbsp;systems engineering software workflow as to allow multidisciplinary, multi-company and multi-agency teams to design systems using cutting edge systems engineering technologies while also ensuring that model revisions are consistently tracked and verified in a distributed, authorit ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  5. Data-Driven Modeling of Directed Energy Deposition (DED) for Defect-Free Builds using Real-Time Monitoring Approaches

    SBC: FORMALLOY TECHNOLOGIES INC            Topic: T12

    Additive Manufacturing (AM) will play a large role in the development for NASArsquo;s next generation of space flight systems. However, without a deeper understanding of various additive processes available, it is difficult to use the technologies reliably. In order to predict the results for dimensional accuracy, microstructure formation, and defect initiation points, FormAlloy and New Mexico Sta ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  6. Autonomous Environmental Monitoring and Management Platform for Remote Habitats

    SBC: SPEC SENSORS LLC            Topic: T4

    An automated mobile air quality (AQ) sensor array will provide high quality environmental data within the confined physical parameters of a space habitat. Project results, including generated data, will be used to develop algorithms for artificial intelligence (AI) which will ultimately automate monitoring of experiments as well as life support systems on the International Space Station (ISS), the ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  7. Advanced Design Tools for Electrosail Propulsion Systems

    SBC: PARTICLE MATTERS, INC            Topic: T2

    The goal of this project is to develop a medium-fidelity, engineering level computational tool that will provide NASA researchers with an efficient instrument for testing, optimizing, and finalizing the E-Sail configuration, and further assist in the navigation and control design. The core of the tool is a computationally efficient parallel 3Dnbsp;Particle-In-Cell (PIC)nbsp;code. The relatively sl ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  8. Nanomaterials Based In-Line Sensor for Ionic Silver in Spacecraft Potable Water Systems

    SBC: INNOSENSE CORPORATION            Topic: T6

    nbsp;NASA needs an advanced sensing technology for in-line measurement of ionic silver in spacecraft potable water systems. Such a sensor should be small, robust, lightweight requiring low-power consumption. This sensor should be compatible with existing systems and capable of stable, continuous, and autonomous measurements of silver for extended periods of time. InnoSense LLC (ISL) will develop a ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  9. Pressure and Low Temperature Tolerant, High Current Density Solid Electrolyte for Propellant Grade Reactants

    SBC: PRECISION COMBUSTION, INC.            Topic: T2

    Precision Combustion, Inc. (PCI), in collaboration with a Research Institution, proposes to develop a new fuel cell design utilizing a solid electrolyte technology that will meet NASArsquo;s target specifications of (i) cycling through very low temperatures (lt;150K) to survive storage during lunar night or cis-lunar travel; (ii) recovery of gt;98% of its mechanical, electrical, and chemical perfo ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  10. In-Space Plant Nutrient: Acicular Surface Modified Polymers for Aiding Faceted Sodium Chloride Separation from Urine

    SBC: INNOSENSE CORPORATION            Topic: T6

    nbsp;For long duration space travel to be practical, regenerative life support capabilities are needed for continual recycling of system resources, including waste streams (urine and wastewater). Nutrient recycling is essential to providing important nutrients and fertilizer for plants. NASA seeks approaches for using in situ waste streams for this purpose. InnoSense LLC (ISL) will develop ACSUMOP ...

    STTR Phase I 2020 National Aeronautics and Space Administration
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