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. Improving Uncertainty Estimation with Neural Graphical Models

    SBC: MAYACHITRA, INC.            Topic: NGA181005

    Building interpretable, composable autonomous systems requires consideration of uncertainties in the decisions and detections theygenerate. Human analysts need accurate absolute measures of probability to determine how to interpret and use the sometimes noisy resultsof machine learning systems; and composable autonomous systems need to be able to propagate uncertainties so that later reasoningsyst ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Bayesian Urban Degradation Assessment

    SBC: INTELLISENSE SYSTEMS INC            Topic: NGA181004

    To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181010

    The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Automated Assessment of Urban Environment Degradation for Disaster Relief andReconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  5. Generalized Change Detection to Cue Regions of Interest

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181006

    Toyon Research Corporation proposes to research and develop algorithms for generalized change detection, by leveraging and exploringexisting and proven effective traditional and deep learning methods, with a unique 3D reconstruction component. The vast majority of themassive amounts of imagery data will have small pixel level differences due to a multitude of unimportant changes: minor misregistra ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  6. Blending Ground View and Overhead Models

    SBC: ARETE ASSOCIATES            Topic: NGA181008

    We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. Infrared and Optical Wilderness Location and Surveillance System

    SBC: Physical Optics Corporation            Topic: HSB0171001

    To address the DHS need, Physical Optics Corporation (POC) proposes to develop a new InfraRed and Optical Wilderness Location and Surveillance (IROWL) system based on the unique integration of a handheld spotting device, display, and compact multispectral zoom optics. The lightweight handheld device includes surveillance optics, infrared sensors, and display electronics to enable Border Patrol Age ...

    SBIR Phase I 2017 Department of Homeland Security
  8. A Wearable Toxic Chemical Sensor Badge

    SBC: Design West Technologies, Inc.            Topic: HSB0171006

    Due to the high probability of exploiting common toxic industrial chemicals (TICs) as a weapon there is an increasing demand for rapid chemical detection technologies. A sensor that alerts the user of the presence of TICs independent of human interpretation is highly desirable. Furthermore, the sensor should be configurable as either a wearable badge or button so that it can be integrated as part ...

    SBIR Phase I 2017 Department of Homeland Security
  9. A Versatile Wearable Chemical Sensor using Ultrasound gas sensing technology (CMUTs)

    SBC: Aromatix, Inc.            Topic: HSB0171006

    We will develop a compact solid-state gas sensor using a novel ultrasound technology called CMUTs, invented by renowned Stanford Professor B. Khuri-Yakub two decades earlier. Although its application in gas sensors was known for some time, its challenges have so far prevented its commercialization. Aromatix Technologies has identified solution to each of these challenges, which are the subjects of ...

    SBIR Phase I 2017 Department of Homeland Security
  10. High Rate Ammonia Synthesis by Intermediate Temperature Solid-State Alkaline Electrolyzer (ITSAE)

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: DEFOA0001563

    Ammonia is not only one of the most produced chemicals worldwide for fertilizer, but also a real carbon-neutral liquid fuel (CNLF), which is important for renewable energy storage and transportation. The well-known traditional Haber-Bosch (HB) process annually generates more than 120 million metric tons of ammonia for fertilizer, with about ~1.0% of the world’s annual energy consumpti ...

    SBIR Phase I 2017 Department of EnergyARPA-E
US Flag An Official Website of the United States Government