You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  1. Learning traffic camera locations using vehicle re-identification

    SBC: Arete Associates            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR 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. High Temperature Fracture Mechanics

    SBC: SYMPLECTIC ENGINEERING CORPORATION            Topic: MDA19T002

    The objective of this project is to develop a capability to model fracture of materials used in hypersonic vehicles that results from hypervelocity impact while exposed to extreme temperatures. Symplectic Engineering’s approach addresses this challenge at two levels. At the computational level, a Relaxed Extended Finite Element approach is pursued to represent (possibly intersecting) fractures l ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  4. High Temperature Fracture Mechanics

    SBC: Karagozian & Case, Inc.            Topic: MDA19T002

    This STTR research study aims to enhance and apply thermo-mechanically coupled computational models for high-temperature fracture. This topic is particularly challenging in that hypersonic flight in the atmosphere generates extreme conditions over a vehicle that can affect the strength and performance the vehicle materials, both in-flight conditions as well as for cases where the vehicle encounter ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  5. Secure Environment for Cyber Resiliency Evaluation of Missile Defense Systems (SEC-MDS)

    SBC: Scalable Network Technologies, Inc.            Topic: MDA19T004

    Current methods of validating the cyber resiliency of missile defense systems require testing of actual systems, which removes them from operation and subjects them to potentially damaging effects. Cyber ranges can be used as an alternative, but they are limited in scale, costly, time-consuming to configure and have limited capability to model wireless tactical networks and their inherent vulnerab ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  6. A Low-Code Hosting Environment For Virtual Embedded Hardware

    SBC: Embeddetech, Inc.            Topic: MDA19T007

    In this proposed effort, Embeddetech identifies its general-purpose ‘low-code’ platform architecture as the ideal architectural choice to support hardware virtualization, after extensive market research and experimental development. The architecture provides a flexible hosting environment for target code dynamically executing on multiple simulated processors, executing in real time. Each simul ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  7. High-Performance Monte Carlo Modeling System for Real-time Fire Control Schedulers

    SBC: OPTIMAL SYNTHESIS INC.            Topic: MDA19T009

    The proposed work will develop a massively parallelized architecture for Monte Carlo simulation of real-time fire control schedulers. The parallelized architecture will utilize the recent developments in multiprocessing/multithreading technology based on graphical processing units. The system will be designed to perform in real-time assuming non-collocated sensors observing the threats and then co ...

    STTR Phase I 2020 Department of DefenseMissile Defense Agency
  8. Bare-Metal Hypervisor for Real-time Embedded Systems

    SBC: Physical Optics Corporation            Topic: MDA19006

    Physical Optics Corporation (POC) proposes to develop the Bare-Metal Hypervisor for Real-time Embedded Systems (HyperES). HyperES will integrate a customized open-source hypervisor, a novel managed multilevel security framework, and a novel method of memory, storage, and processor-cache isolation. This innovative integration results in a comprehensive solution that provides the required robust pro ...

    SBIR Phase I 2020 Department of DefenseMissile Defense Agency
  9. Bare Metal Hypervisor for Embedded Systems

    SBC: RAM LABORATORIES            Topic: MDA19006

    RAM Laboratories is proposing the Embedded Secure Hypervisor with Integrated Privilege Separation (ESHIPS), which utilizes hardware features inherent in ARMv8 architectures to enable the creation of multiple Secure Execution Environments (SEEs) while thwarting attempts to circumvent the SEE through lightweight intra-level privilege separation techniques. The resulting SEEs can then be used to stor ...

    SBIR Phase I 2020 Department of DefenseMissile Defense Agency
  10. Self-Coding Cyber Fixes

    SBC: RAM LABORATORIES            Topic: MDA19009

    RAM Laboratories is proposing Deep Learning for Precise, Automatic and Trusted Code Hardening and Error Removal (DL-PATCHER) which is a combination of a large and diverse source code dataset built from publicly available repositories to be used for training state-of-the-art deep learning algorithms able to produce a model that can automatically generate patches that fix bugs reported by source cod ...

    SBIR Phase I 2020 Department of DefenseMissile Defense Agency
US Flag An Official Website of the United States Government