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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. Innovative Method for Development of Hemp based Fabric

    SBC: Technology Holding, LLC            Topic: N21AT001

    Hemp-based clothing are excellent for outdoor active wear, due to high strength, UV-protective qualities, mold resistance, and excellent moisture absorption and desorption. While academic research on hemp-based textiles in the US is increasing, it has naturally also become an area of interest to competing countries. Specifically, China is outperforming the US in hemp fiber technological advancemen ...

    STTR Phase II 2023 Department of DefenseNavy
  2. SeaCraft/AeroNautical Data-collector (SCAND) for real-time target recognition

    SBC: HYDRONALIX INC            Topic: SOCOM22DST01

    Artificial intelligence-assisted detection and imaging technology can gather data on underwater, surface, and aerial threats to gain situational awareness over opposing forces, and aids in navigating dangerous marine and terrestrial environments. Successful and efficient use of intel is crucial for strategic information warfare, but many current technologies require active monitoring to identify t ...

    STTR Phase II 2023 Department of DefenseSpecial Operations Command
  3. A Massively Parallel Scalable Processor for Order of Magnitude Increase in Acceleration of Photonic Simulations

    SBC: VIRTUAL EM INC.            Topic: N23AT008

    Virtual EM proposes develop a massively parallel ASIC for orders of mangnitude speed up of electromagnetic simulations of thin optical lenses made of metamaterials. The ASIC will implement a prorietary algorithm and will deliver scalable run-times that cut the simulation time by more than 1000x compared to today's state-of-the-art simulators.

    STTR Phase I 2023 Department of DefenseNavy
  4. Atmospheric Aerosol Model and Data Collection Over the Marine Boundary Layer...

    SBC: N.P. PHOTONICS, INC.            Topic: N23AT012

    This overall research program is oriented towards a deeper experimental and theoretical understanding of meteorological properties of the marine wave boundary layer (MWBL) and laser light propagation in the marine environment. The main objective is to develop a periscope imaging, electronic warfare, and High Energy Laser (HEL) beam propagation model over the marine aerosol boundary layer for the i ...

    STTR Phase I 2023 Department of DefenseNavy
  5. Novel Method for Renewable JP10 Production

    SBC: Technology Holding, LLC            Topic: N23AT015

    Currently, all JP10 is produced from fossil sources. The objective of the proposed project is to develop a scalable synthetic approach to producing JP-10 that meets military specification, MIL-DTL-87107E from non-fossil sustainable energy resources. During phase I, we will define, develop, and perform initial laboratory assessment of the proposed synthetic process to validate the technical feasi ...

    STTR Phase I 2023 Department of DefenseNavy
  6. SeaCraft / AeroNautical Data-collector (SCAND) for real-time target recognition

    SBC: HYDRONALIX INC            Topic: SOCOM22DST01

    Intelligent detection and imaging technology hold considerable value for Department of Defense to attain situational awareness and advantage over opposing forces, and for aid in navigating potentially dangerous marine and terrestrial environments. Technologies obtain intelligence on underwater threats and can gather intelligence on approaching surface threats. Current sensor technologies require a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  7. ADEPT- Predictive Data Analytics to Refine Aircrew Training and Operations N21B-T024 Phase II

    SBC: SOAR TECHNOLOGY INC            Topic: N21BT024

    The Aggregated Data Evaluation & Prediction Tool is a data analyst software that processes aggregated Navy data streams and enables predictive analysis and experimentation through ML modeling.

    STTR Phase II 2023 Department of DefenseNavy
  8. Kilowatt Class Fiber Optical Isolator for Submarine High Energy Laser Amplifier

    SBC: N.P. PHOTONICS, INC.            Topic: N22AT010

    Fiber optical isolators with kilowatt power handling capability are in great demand for high-energy all-fiber laser systems. NP Photonics proposes to design and develop fiber optical isolators using our innovative fiber Faraday rotators and polarizers. The proposed fiber optical isolators have the advantages of high-power handling, compactness, and high reliability.  In this Phase I program, we w ...

    STTR Phase I 2022 Department of DefenseNavy
  9. Novel Multiphysics Modeling of Electroplating Process for Metallic Aerospace Components

    SBC: GLOBAL ENGINEERING RESEARCH AND TECHNOLOGIES, LLC            Topic: N22AT003

    Corrosion damage to NAVAIR aircraft fleet remains a major challenge with implications for both the safety of DOD personnel and equipment, as well as for an efficient operation of components and structures. This damage is mainly due to corrosion fatigue and/or stress corrosion cracking. Mitigation of this problem is often done through the electrodeposition of a corrosion resistant coating such as N ...

    STTR Phase I 2022 Department of DefenseNavy
  10. P21-184 Wisdom: Wing Instruction Spatial Disorientation Outcome Measure

    SBC: SOAR TECHNOLOGY INC            Topic: N22AT005

    Spatial disorientation (SD) continues to be a pervasive fatal event for military aviators and has a wide range of causes and facets. As a result there is no singular measure of SD that can be used to quantify occurrence or opportunity for SD or its causal factors.  To meet this challenge, the SoarTech team proposes to leverage its SD modeling research to develop WISDOM – the Wing Instruction Sp ...

    STTR Phase I 2022 Department of DefenseNavy
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