You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. 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
  2. Population Behavioral Analysis at Scale, AOR Modeling

    SBC: DEEP LABS INC            Topic: SOCOM22DST01

    Deep Labs recognizes USSOCOM’s challenge to process multiple data and communications inputs for optimized decision making, and to support rapid on-the-move abilities to learn and communicate knowledge to enhance tactically relevant situational awareness in peer/near peer environments. Deep Labs has proven this capability across complex challenges in the world’s largest commercial enterprises a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  3. Multi-Dimensional Event Sourcing & Correlation- Publicly Available Information (PAI) (MDESC-P)

    SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC            Topic: SOCOM22DST01

    Multi-Dimensional Event Sourcing & Correlation - Publicly Available Information (PAI) (MDESC-P) will support collection jointly across disparate PAI sources with coordinated cueing of more constrained intelligence, surveillance, target acquisition, and reconnaissance (ISTAR) sources. The primary objective for MDESC-P is to deliver a scalable and automated PAI collection management solution using a ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  4. sUAS Munition Teaming for Advanced Precision Strike

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: SOCOM21C001

    The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  5. Biomimetic Slope Adaptive Foot-Ankle Prosthesis

    SBC: MOTION CONTROL, INC            Topic: DHP16C007

    The primary objectiveis to develop acommercially-viable prototype of theslopeadaptive prosthesis design and to iteratively improvethe design based on ISO standards testingand rigorous usein human subject field trials. The proposed work will build upon knowledgegained in PhaseI of the project,which established feasibility for this design approach in alightweight, passive hydraulicfoot-anklesystem. ...

    STTR Phase II 2022 Department of DefenseDefense Health Agency
  6. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Convolutional Neural Networks (DCNNs) have become ubiquitous in the analysis of large datasets with geometric symmetries. These datasets are common in medicine, science, intelligence, autonomous driving and industry. While analysis based on DCNNs have proven powerful, uncertainty estimation for such analyses has required sophisticated empirical studies. This has negatively impacted the effect ...

    STTR Phase II 2022 Department of DefenseNational Geospatial-Intelligence Agency
  7. Human Performance Enhancement

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) operators are among the most elite, and highly qualified individuals in the U.S. military. Extraordinary physical and mental demands are placed upon them, to include superior performance standards, high operational tempos, and the pressure to excel in extreme environments for extended periods of time. In the SOF community, serious injuries are the norm rather than t ...

    STTR Phase II 2021 Department of DefenseSpecial Operations Command
  8. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  9. 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
  10. Combat Casualty Automated Trainer (C-CHAT)

    SBC: SOAR TECHNOLOGY INC            Topic: DHA17B001

    This expansion effort will enable SoarTech to harden the C-CHAT prototype for use during field exercises and increase the current 4 TRL to a 7 TRL. Working with partners at the USMC Field Medical Training Battalion (FMTB) and the University of Central Florida (UCF), we will enhance C-CHAT to run as a stand-alone application on a DoD-approved Android smartphone (e.g., the Samsung Galaxy S20 Tactica ...

    STTR Phase II 2021 Department of DefenseDefense Health Agency
US Flag An Official Website of the United States Government