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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. Inspire- In-Mask Sensors for Physiological Investigation of Respiratory Exhalation

    SBC: MAKEL ENGINEERING, INC.            Topic: DHP16C002

    High concentrations of supplemental oxygen are used routinely by pilots and divers prior to and during missions to prevent and treat decompression sickness, avoid detection during covert operations, and to support oxygenation following pulmonary injury. Due to pulmonary oxygen toxicity (PO2T), exposure limits are imposed to prevent damage to pulmonary tissues. Current policy focuses on preventing ...

    STTR Phase II 2021 Department of DefenseDefense Health Agency
  2. ECCCHO: Effective Combat Casualty Care Handoff Operations

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: DHA17B002

    According to the Joint Commission, approximately 70% of sentinel events in medical care are related to communication mishaps, and despite regular and frequent occurrence, poor communication during patient handoffs (i.e., transfer of patient care information, responsibility, and authority from one provider to another) remains a major contributor to medical errors (Nether, 2017; The Joint Commission ...

    STTR Phase II 2021 Department of DefenseDefense Health Agency
  3. Magnesium Alloys for Additive Manufacturing by Artificial Intelligence (MAGAMAI)

    SBC: Intelligent Automation, Inc.            Topic: N20BT026

    NAVY seeks high strength, low density, and high corrosion resistant alloys for structural components which can be processed by additive manufacturing (AM). Magnesium (Mg) alloys are candidates for fuel-efficiency applications, especially the aircrafts. They satisfy density, strength, and stiffness for many designs. However, their low corrosion resistance cannot ensure design lifetimes.  This limi ...

    STTR Phase I 2021 Department of DefenseNavy
  4. Vector Magnetometer based on Dispersive Cavity Readout of Nitrogen Vacancies in Diamond

    SBC: VESCENT PHOTONICS LLC            Topic: N19AT006

    Vescent Photonics, LLC, (Vescent) and the Massachusetts Institute of Technology Lincoln Laboratory (MIT-LL) propose to develop a low-noise, field-deployable vector magnetometer based on the dispersive cavity readout (DCR) of nitrogen vacancy (NV) diamond.  Solid-state quantum systems based on NV-diamond centers have many intrinsic properties that make them well-suited as stable, sensitive platfor ...

    STTR Phase II 2021 Department of DefenseNavy
  5. Lightweight-Low Cost Hyperspectral Sensor Integration to Support Urban Air Mobility Operations

    SBC: Spectrabotics, LLC            Topic: AFX20DTCSO1

    Hyperspectral Imaging (HSI) technologies provide the most accurate imaging method for detecting and classifying remotely-sensed Hazardous Materials (HAZMAT).   Electric Vertical Takeoff and Landing/Urban Air Mobility (eVTOL/UAM) platforms provide the most cost-effective, rapid response, and easy to use data collection platform to support Humanitarian Assistance and Disaster Response (HADR) scena ...

    STTR Phase I 2021 Department of DefenseAir Force
  6. OXYGEN: Orb-to-Orb (O2) Air Domain Awareness

    SBC: Unmanned Experts Inc.            Topic: AFX20DTCSO1

    Advanced Air Mobility, Unmanned Traffic Management and Swarm operations all have large numbers of semi-autonomous aircraft operating in close proximity and within confined airspace. Each aircraft, or orb, needs to coordinate with its neighbors for safety,

    STTR Phase I 2021 Department of DefenseAir Force
  7. Advanced Extreme Rapid Deployment Emergency Whole Airframe Recovery Parachute System for Urban Air Mobility

    SBC: Aviation Safety Resources, Inc.            Topic: AFX20DTCSO1

    Urban/Advanced Air Mobility (UAM/AAM) technology is advancing rapidly with over 300 designs underway.  Primary to the challenges of an electric Vertical Take Off and Landing (eVTOL) is what will happen if the vehicle suffers a failure in flight (especially in VTOL).  Establishment of a level of safety is paramount in the success or failure of the UAM market. Currently, there is not a practical r ...

    STTR Phase I 2021 Department of DefenseAir Force
  8. Universal Navigation Solution Manager

    SBC: PLANCK AEROSYSTEMS INC.            Topic: AFX20DTCSO1

    Planck Aero and UC San Diego will collaborate to adapt and modify technology to address defense needs by providing an innovative, modular aerial navigation system that is capable of identifying and monitoring the accuracy, availability, and integrity of sensor sources, and ingesting all data into algorithms capable of providing a precision navigation solution for the duration of a mission withou ...

    STTR Phase I 2021 Department of DefenseAir Force
  9. Development of an Autonomous Recovery Function for eVTOL Aircraft Using an Adaptive / ML Controller

    SBC: JUMP AERO INC            Topic: AFX20DTCSO1

    Jump Aero has partnered with Caltech’s Center for Autonomous Systems and Technologies (CAST) to move adaptive control and machine learning autonomy algorithms from the lab to the real world.  We will accomplish this transition through an incremental crawl-walk-run process where the first crawl step involves a combination of certifiable hardware and a software architecture that is based on Run T ...

    STTR Phase I 2021 Department of DefenseAir Force
  10. Multiple Hypothesis Tracking of Cyberthreats

    SBC: GCAS, Inc.            Topic: AFX20DTCSO1

    This Proposal addresses the tracking and forecasting a cyberthreat’s future maneuvers in compromised network. Our approach is as follows: Movement in the Network observed by Intrusion Detection System (IDS) Sensor Data = Discrete States (e.g., IP or Port Addressed per IDMEF alert format) Forecast Threat Track Vector using Multiple Hypothesis Method (MHM) Use Probabilistic Relational Model (PRM) ...

    STTR Phase I 2021 Department of DefenseAir Force
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