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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. ECCCHO: Effective Combat Casualty Care Handoff Operations

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: DHA17B002

    Approximately 70% of sentinel events in medical care are related to communication mishaps, and despite regular and frequent occurrence, an even higher percentage (80%) of severe medical errors are related to miscommunication during handoffs (i.e., the transferring of information, responsibility, and authority for patient care from one provider to another). The TiER1 team proposes to address challe ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  2. Handoff Training for Combat Casualty Care (HTC3) Framework

    SBC: Perceptronics Solutions, Inc.            Topic: DHA17B001

    This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  3. Multi-Physics Models for Parachute Deployment and Braking

    SBC: CMSOFT, INC.            Topic: AF18AT004

    The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. 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
  5. Novel Structure-Preserving Algorithms for Accurate Rocket Trajectory Propagation

    SBC: OPTIMAL SYNTHESIS INC.            Topic: MDA17T002

    The Department of Defense uses large-scale high-resolution federated simulations to propagate rocket vehicle trajectories. Runge-Kutta methods have served as a de-facto standard while conducting such simulations. However, there are several challenges while using Runge-Kutta methods for this task. Firstly, there should be exact time-step matching between federates, otherwise the states have to be i ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  6. Smallsat Cryocooler System

    SBC: IRIS TECHNOLOGY CORPORATION            Topic: MDA17T003

    The Iris Technology team which also include Northrop Grumman Aerospace Systems (NGAS) and the University of Wisconsin, is attacking the problem of high-efficiency, low-volume, space-qualified cryocooler systems.The team has a firm starting point by leveraging the Northrop Grumman Microcryocooler and the Iris Technology mLCCE (Miniature Low Cost Control Electronics).TMU enhancement will start with ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  7. Lasers Based on Gas or Liquid Filled Hollow-Core Photonic Crystal Fibers

    SBC: SA PHOTONICS, LLC            Topic: AF18BT015

    We propose a compact, monolithic, power scalable, hollow core fiber-gas laser emitting in the atmospheric transmission region in the mid-IR. The proposed optically pumped fiber-gas laser system is efficient, has a small footprint as well has a broad spectral coverage in the mid-IR. Due to the unique approach employed, the proposed technology allows generation of mid-IR output with varying pulse re ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. 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
  9. Next-Generation, Power-Electronics Materials for Naval Aviation Applications

    SBC: SIXPOINT MATERIALS, INC.            Topic: N18AT004

    This STTR project develops an innovative seed fabrication technology to address the fundamental size-quality limitation of gallium nitride (GaN) substratesthe indispensable key component for GaN-based vertical high-power devices. Currently, there is no viable GaN technology to realize large-area and low-defect substrates simultaneously. The technology producing 6" and larger GaN wafers results in ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)

    SBC: Luminit LLC            Topic: AF18BT004

    To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...

    STTR Phase I 2019 Department of DefenseAir Force
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