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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. Proteasome inhibitor re-sensitizing molecules for treatment of refractory multiple myeloma

    SBC: LEUKOGENE THERAPEUTICS INC            Topic: 102

    Project Summary Abstract Multiple MyelomaMMis the second most common form of blood cancer and remains an incurable and deadly diseaseProteasome inhibitorPItherapy is a cornerstone in the treatment of MMbut resistance to this class of agent is an emerging challenge in the clinicNew therapeutic approaches that specifically target resistance are needed to maximize responses and ultimately produce cur ...

    STTR Phase II 2018 Department of Health and Human ServicesNational Institutes of Health
  2. Novel SCD1 inhibitors for treatment of cancer

    SBC: MODULATION THERAPEUTICS, INC.            Topic: 102

    Project Summary Metabolic reprogramming plays a critical role in carcinogenesisin part due its ability to promote immune suppressive properties within tumorsHoweverit is unclear whether inhibition of fatty acid metabolism in tumors affects their immunogenicityHerewe show for the first time that inhibition of stearoyl CoA desaturaseSCDthe rate limiting enzyme involved in fatty acid synthesis conver ...

    STTR Phase II 2018 Department of Health and Human ServicesNational Institutes of Health
  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. Expansion of Immuno-CometChip Platform

    SBC: AMELIA TECHNOLOGIES LLC            Topic: NIEHS

    Project SummaryThe objective of this supplementation request is to further our recent advances in the development of thewell Immuno CometChip assay results and build a prototypewell preformer giving the assay more utility and increasing commercial viability

    STTR Phase II 2018 Department of Health and Human ServicesNational Institutes of Health
  5. Forager

    SBC: Next Century Corporation            Topic: SB12A004

    Next Century Corporation will develop novel means to acquire data on patterns of exploration of web-based information. For the proposed effort, we will integrate fine-grained logging of activities across different search paths and develop new methods for extracting web content that provides and analyzes the broader context in which such activities take place. In addition, we will develop a robust ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. Fuel Efficient Nanofluid Gear Oil

    SBC: Pixelligent Technologies, LLC            Topic: A15AT018

    Improving vehicle fuel efficiency for the military can significantly reduce costs and reduce risk to solider safety. One way to improve vehicle efficiency for new and legacy vehicles is to reduce frictional loses in the drivetrain through use of lower viscosity lubricants. However, this comes with the risk of reducing durability of drivetrain components through increased wear, pitting and scuffing ...

    STTR Phase II 2018 Department of DefenseArmy
  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. Deep Machine learning for risk Analysis and Prediction (D-MAP) in supply chains

    SBC: Intelligent Automation, Inc.            Topic: MDA16T002

    Globalization and digitization have been driving the recent economic growth at the expense of raising the risk level in the supply chain related to fraud, security, and safety, while current practice of supply chain management and risk assessment is lagging far behind. Therefore, commercial industries and government agencies are seeking advanced supply chain risk assessment solutions, which can ef ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  9. Development of an Autism Spectrum Disorder Screening Test based upon Metabolic Profiling of Fresh Blood Samples

    SBC: CIRCA BIOSCIENCE LLC            Topic: 102

    Autism spectrum disorderASDis a neurodevelopmental disorder characterized by significant deficits in reciprocal social interactionsimpaired communication and restrictedrepetitive behaviorswith a prevalence ofinchildren in the USEarly intervention programs have been shown to be effective for improving IQlanguageand social skills for toddlers as young asmonths of ageDiagnosis of ASD is currently bas ...

    STTR Phase I 2018 Department of Health and Human ServicesNational Institutes of Health
  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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