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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. Modular Pulse Charger and Laser Triggering System for Large-Scale EMP and HPM Applications

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against EMP and HPM threats, it is important to understand the physics of the threats, and also to quantify the effects they have on electrical systems. EMP and HPM vulnerability testing requires delivery of high peak power and electric fields to distant targets. The most practical solution to simulate such environments is to develop a modular, optically-isolated MV-antenn ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  2. Data Driven Intent Recognition Framework

    SBC: OTHER LAB, INC.            Topic: NSF13599

    A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  3. Interactive Sensor Fusion for Context-Aware Discrimination

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: MDA15T001

    We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  4. Robust Classification through Deep Learning and Dynamic Multi-Entity Bayesian Reasoning

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA15T001

    Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  5. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  6. Acoustically/Vibrationally Enhanced High Frequency Electromagnetic Detector for Buried Landmines

    SBC: AKELA INC            Topic: A16AT004

    Laboratory investigations have suggested that acoustically or vibrationally inducing motion in buried targets can aid in improving target detectability through a characteristic response related to differential target motion. This gain is realized by adding an additional degree of freedom, modulation due to motion in the GPR return signal, to use as a discriminating feature. The AKELA team is propo ...

    STTR Phase I 2016 Department of DefenseArmy
  7. Identification of Multiple Illicit Drugs Using a Handheld Detector Based on Chemiresitive Sensor Arrays

    SBC: Next Dimension Technologies, Inc.            Topic: A16AT008

    Next Dimension Technologies and Caltech will jointly develop a handheld detector to meet the Armys need for a field-based illicit drug identification system. The project will focus on the design and development of a dual-mode chemiresistive sensor array capable of detecting key drugs of interest, including synthetic cannabinoids and opioids. Novel sensing materials, with enhanced chemical sensit ...

    STTR Phase I 2016 Department of DefenseArmy
  8. Field Drug Identification Kit

    SBC: SensoDX II, LLC            Topic: A16AT008

    Illicit drug trafficking has increasingly been used to fund terrorist groups since the end of the Cold War. As illicit drugs increasingly finance terrorism, soldiers in the U.S. Army are increasingly playing an active role in identifying these drugs in difficult and demanding environments. Unfortunately, these devices have many shortcomings, such as being too expensive, bulky and heavy, being non- ...

    STTR Phase I 2016 Department of DefenseArmy
  9. Miniature Mass Spectrometer for Peptide Sequencing and Mobile Coupling with Separation Techniques

    SBC: BAYSPEC, INC.            Topic: A16AT012

    Using advanced ion optics that was developed by Pacific Northwest National Laboratory (PNNL), BaySpec will develop a prototype of portable mass spectrometer (less than 40 lb. and 300W) with continuous atmospheric pressure inlet that is fully capable of uninterrupted on-line sampling from an ambient environment. The continuous nature of the inlet ensures full compatibility with separation technique ...

    STTR Phase I 2016 Department of DefenseArmy
  10. Wearable Neurophysiological Monitoring Device for Circadian Rhythm Assessment and Intervention

    SBC: Cognionics, Inc.            Topic: A16AT014

    This Phase I STTR project will develop a platform to demonstrate high-quality, multi-modal acquisition of neurophysiological signals, including EEG, heart rate/blood oxygenation via photoplethysmography (PPG), electrodermal (EDA) activity, temperature plus environmental factors such as ambient light and sound in a simple, wearable headband. The hardware will be coupled with the development of a cl ...

    STTR Phase I 2016 Department of DefenseArmy
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