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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. Large-scale Entity Linking and Disambiguation with DeepDive

    SBC: CLEARCUT ANALYTICS, INC            Topic: N16AT016

    DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...

    STTR Phase I 2016 Department of DefenseNavy
  2. Development of a Micro-glider for Oceanographic Air-Sea Interaction Sampling

    SBC: MRV SYSTEMS LLC            Topic: N14AT020

    This proposal is a collaborative effort between MRV Systems and the Woods Hole Oceanographic Institution. The goal is to develop a new, small, inexpensive autonomous vehicle to investigate mixed layer dynamics and turbulent mixing. The preliminary Phase I design, a Diagonally Operating Platform (DOP), is a profiling float with moveable fins. DOP will turn toward an intended direction within a few ...

    STTR Phase II 2016 Department of DefenseNavy
  3. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
  4. Bonded Joint Analysis Method

    SBC: M4 ENGINEERING, INC.            Topic: N12AT004

    During Phase I and Phase II, M4 Engineering, Inc. and Sandia National Laboratories have created a unique bonded joint analysis methodology and associated software. During Phase II.5, the developed techniques will be further enhanced and a fully functional commercial analysis code (SIMULIA/Abaqus) plug-in will be created. The software plug-in will make the advanced technology accessible to all leve ...

    STTR Phase II 2016 Department of DefenseNavy
  5. Embedded Sensors for Flight Test (Every Aircraft a Test Aircraft)

    SBC: NEXTGEN AERONAUTICS, INC.            Topic: AF14AT01

    Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...

    STTR Phase II 2016 Department of DefenseAir Force
  6. 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
  7. 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
  8. Analog Co-Processors for Complex System Simulation and Design

    SBC: ARETE ASSOCIATES            Topic: ST15C002

    It has long been known that analog computers can be faster and more power efficient than digital processors by many orders of magnitude. Until the 1970s analog computers were the dominant controllers in most industrial and military applications. Even today digital processors are still slower and more power consumptive than analog, but offer much more flexibility (programmability) and precision. ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  9. Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel

    SBC: Ocean Bay Information and Systems Management, LLC            Topic: DLA15C001

    "Micro-calorimetry is a Nondestructive Test (NDT) capable of detecting heat characteristics that could identify improperly processed, counterfeit, substandard, nonconforming or fake raw material prior to materials introduction into end-product production cycles. Current calorimetric technology is an extremely sensitive, expensive and time consuming process, utilizing an adiabatic or semi-adiabat ...

    STTR Phase I 2016 Department of DefenseDefense Logistics Agency
  10. High-Sensitivity Monolithic Silicon CMOS APD and ROIC

    SBC: FREEDOM PHOTONICS LLC            Topic: AF14AT13

    This work will focus on the development of monolithic SWIR focal plane array technologies using CMOS or CMOS compatible fabrication technology. This will be realized on a Silicon substrate and incorporate APD+TIA arrays and be scalable to Megapixel arrays and coherent receiver operation for capture of the full optical wavefront vector information.

    STTR Phase II 2016 Department of DefenseAir Force
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