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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. Fully Encapsulating Dielectrics for Gaseous Helium Cooled Superconducting Power Cables

    SBC: ADVANCED CONDUCTOR TECHNOLOGIES LLC            Topic: N16AT011

    The proposed program will develop dielectrics for dc superconducting power transmission cables that are cooled with cryogenic helium gas. The Dielectrics will be sealed again helium gas penetration and allow for an operating voltage of 12 kV in a pressure of 2 MPa at 50 K. The dielectrics will be designed for use with all helium facing components of power transmission systems based on CORC cables. ...

    STTR Phase II 2018 Department of DefenseNavy
  2. Simultaneous Multiple Object Detection System

    SBC: Semquest, Inc.            Topic: MDA16T006

    An advanced hit detection technology is needed for MDA that can report impacts at hyper-velocities and at multiple hit locations. We present a technology with a high level of performance that leverages decades of hit technology experience and utilizes existing technologies developed under previous efforts. Our technology offers a low latency non-interpolated direct indicator of multiple hit locati ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  3. A Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE

    SBC: Intelligent Automation, Inc.            Topic: N17AT022

    To address the need of auto-extracting data relevant to significant events and to archive patterns, Intelligent Automation, Inc. (IAI) team proposes to continue developing a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The key innovations of our proposed SEE system are (1) a large class of analytics that extract valuable and important information from raw data, a ...

    STTR Phase II 2018 Department of DefenseNavy
  4. Optimized High Performance Stainless Steel Powder for Selective Laser Melting Additive Manufacturing (AM)

    SBC: SHEPRA, INC.            Topic: N16AT007

    Stainless steel is a vital component of many air, land and sea systems that support the Navy warfighter. In particular, 17-4 precipitation hardened stainless steel, (17-4 PH SS) with its extrodinary combination of strength, ductility, high temperature performance and corrosion resistance plays an important role in supporting the warfighter. When processed conventionally, 17-4 PH SS typical exhibit ...

    STTR Phase II 2018 Department of DefenseNavy
  5. Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process Variation

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N16AT004

    Additive manufacturing is an extremely customizable process; however, variations in the chosen build parameters can lead to drastic differences in part performance. The performance variation due to process parameters is still not well understood, and propagating all uncertainties from the various sources has been a challenge. Sources of AM parts’ performance variability include uncertainties in ...

    STTR Phase II 2018 Department of DefenseNavy
  6. Principled Design of an Augmented Reality Trainer for Medics

    SBC: UNVEIL LLC            Topic: DHP17A003

    Augmented reality (AR) offers the ability to enhance existing combat medic training by including perceptual cues and adaptive training elements to traditional simulation-based training using manikins. Unveil has developed a training system called the Macrocognitive AR Trainer (MART). MART is designed to foster the development of macrocognitive skills (e.g., sensemaking, assessment skills, mental m ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  7. Medical Electro-Textile Sensor Simulation

    SBC: LR TECHNOLOGIES, Inc.            Topic: DHP17A001

    In this topic, we plan to design a vital EMF sensor to work under any conditions. The sensor will be integrated with smart clothing and using e-textile materials.

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  8. Dynamic virtual moulage based on thin film adhesive displays

    SBC: ARCHIE MD INC.            Topic: DHA17A002

    Providing Army combat medics with meaningful experience in treatment of battlefield injuries is a particular challenge. Moulage has the potential to assist in acquiring what could otherwise be very hard-to-come-by preparatory experience for distressing real-life emergencies medics and soldiers may encounter in the field. However, current approaches to moulage are limited in their ability to reflec ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  9. On Demand Energy Activated Liquid Decontaminants and Cleaning Solutions

    SBC: TDA RESEARCH, INC.            Topic: A12AT005

    On-site activated decontaminants will revolutionize chemical and biological decon because the activated solution is produced on demand, without the limitations of traditional pre-made mixtures. TDAs system uses electrical activation to convert battery power into reactive chemicals that quickly destroy chemical and biological warfare agents. Prior to activation, the decontaminant mixture can be saf ...

    STTR Phase II 2018 Department of DefenseArmy
  10. Ignition Modeling for Present and Future Combustors and Augmentors

    SBC: COMBUSTION SCIENCE & ENGINEERING, INC.            Topic: N17AT003

    The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...

    STTR Phase II 2018 Department of DefenseNavy
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