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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. PREFAB MODULAR LIQUID-COOLED MICRO DATA CENTER

    SBC: Flexnode Inc            Topic: 1

    "To enable the future needs of efficient computing for edge data centers, Flexnode and its partners, the University of Maryland (UMD), Boeing, Iceotope, SHoP Architects, and Arup, propose to develop a prefabricated modular micro data center with unprecedented energy efficiency and power density. The proposed system leverages four key component and system-level technology advancements: (a) a novel, ...

    STTR Phase I 2024 Department of EnergyARPA-E
  2. Vertical GaN Substrates

    SBC: SIXPOINT MATERIALS, INC.            Topic: N/A

    SixPoint Materials will create low-cost, high-quality vertical gallium nitride (GaN) substrates using a multi-phase production approach that employs both hydride vapor phase epitaxy (HVPE) technology and ammonothermal growth techniques to lower costs and maintain crystal quality. Substrates are thin wafers of semiconducting material needed for power devices. In its two-phase project, SixPoint Mate ...

    STTR Phase I 2014 Department of EnergyARPA-E
  3. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: KRTKL INC.            Topic: SOCOM23B001

    krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  4. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: PARRY LABS, LLC            Topic: SOCOM23B001

    Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  5. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: XR 2 LEAD LLC            Topic: SOCOM23B001

    In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  6. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: Mente Systems Inc.            Topic: SOCOM23B001

    Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  7. Low Cost Imaging In The mm Wave Region Using Plasma Waves in High Mobility Transistor

    SBC: BRIMROSE TECHNOLOGY CORP            Topic: CBD22BT001

    In this work, we propose to develop low-cost, high sensitivity high electron mobility transistor-based W-band millimeter wave focal plane array/camera based on mature ternary III-V epitaxial materials of InAlAs on top of InP substrate. The plasma-wave detector uses well established mature technology of high electron mobility transistors which allows future integration and reduces cost. The detecto ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  8. Eye-readable Solution-based Dye Displacement Probe for Large-area Detection of Opioids

    SBC: INTELLIGENT OPTICAL SYSTEMS, INC.            Topic: CBD20AT001

    Intelligent Optical Systems, Inc., in collaboration with Bowling Green State University, proposes to develop a field-rugged, eye-readable indicating spray solution that can immediately detect synthetic opioids over a large area of contamination (i.e., military vehicles, individual protective equipment, clandestine labs, etc.). The proposed chemosensor in a spray solution format will detect multipl ...

    STTR Phase I 2021 Department of DefenseOffice for Chemical and Biological Defense
  9. Marburg Virus Prophylactic Medical Countermeasure

    SBC: MAPP BIOPHARMACEUTICAL, INC.            Topic: CBD18A002

    There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  10. Virus-Like Particle Based pan-Marburgvirus Vaccine

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: CBD18A002

    Marburg virus (MARV) is a filamentous enveloped non-segmented negative sense RNA virus. This viruse is considered to be extremelydangerous with case fatality rates as high as 88-90%. Extensive efforts have gone towards effective vaccines for MARV prevention, however,none have been successfully established as licensed vaccines. Glycoprotein (GP) is the only surface protein of MARV. There are substa ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
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