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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. Distributed System for Privacy Protecting Speech Processing- FY15 I-CORPS

    SBC: Mod9 Technologies            Topic: HSB0151004

    This award is for participation in the I-CORPS Program through DHS SBIR CRPP funds. Basic requirements include: Attend the initial seminar at the prescribed location (three to four days) Attend the closing lessons learned seminar seven weeks later at the identical location as the opening seminar Carry out one hundred face to face interviews with potential customers.

    SBIR Phase I 2015 Department of Homeland Security
  2. Stationary Wide-Angle Concentrator PV System

    SBC: GLINT PHOTONICS, INC.            Topic: DEFOA0001256

    Concentrator PV systems using highly efficient multijunction photovoltaic cells hold out the promise of very low-cost solar electricity generation, but their adoption has been hamstrung by the requirement for bulky mechanical trackers that add cost, diminish land use, increase maintenance, and exclude roof-top installations. The Stationary Wide-Angle Concentrator (SWAC) PV system will provides the ...

    SBIR Phase I 2015 Department of EnergyARPA-E
  3. Wide-Area Flood Alert Sensor Network

    SBC: EVIGIA SYSTEMS LLC            Topic: HSB0161005

    The proposed SBIR Phase I effort initiates the development of a highly-reliable, modular, and cost-effective wide-area flood sensor network system. Evigia leverages the EVX-1000 family of wireless mesh networked sensor system developed for remote rugged arctic oil-spill recovery operation to develop the proposed flood alert IoT system. The senor nodes operate on IEEE802.15.4 wireless physical laye ...

    SBIR Phase I 2016 Department of Homeland Security
  4. Real-time Information Contextual Correlation and Analysis

    SBC: Physical Optics Corporation            Topic: HSB0161008

    To address the DHS need for a new data analytics engine to correlate social media comments and activity with incident command data, Physical Optics Corporation (POC) proposes to develop a new Real-time Information Contextual Correlation and Analysis (RICCA) software system based on Bayesian analytics, multiresolution event context hypercube (MECH) representation, and multi-source data analysis and ...

    SBIR Phase I 2016 Department of Homeland Security
  5. Joint Modeling of Social Media and CAD Data for Crisis Management Decision Support

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: HSB0161008

    Archived computer-aided dispatch (CAD) data has been beneficial for post-event analysis and continual improvement processes. First responder CAD data represents a potential data set that can be exploited by recently-emergent big data techniques. The criticality of first responder missions increases the importance of such efforts: the impact of CAD data analytics could be directly related to lives ...

    SBIR Phase I 2016 Department of Homeland Security
  6. Blockchain Platform for Multiple Blockchains, Applications, and Analytics

    SBC: BlockCypher, Inc.            Topic: HSB0161009

    The purpose of this proposal is to provide a platform for multiple blockchains, applications, and the analysis of blockchain transactional data. BlockCypher has already built a blockchain infrastructure that supports a multitude of applications, e.g., identify management, internet-of-things (IoT), notary, embeddable assets, predictive analytics, etc. - and runs both closed and open blockchains on ...

    SBIR Phase I 2016 Department of Homeland Security
  7. Enhanced Blockchain Trust Services

    SBC: RAM LABORATORIES            Topic: HSB0161009

    Several security shortfalls associated with the Internet of Things (IoTs) are related to key management and distributions, which are used to encrypt, sign and authenticate messages and remotely manage participating applications. These challenges are especially difficult to address in disadvantaged, intermittent and low latency (DIL) environments, such as those faced by first responders, where the ...

    SBIR Phase I 2016 Department of Homeland Security
  8. Remote Identity Proofing Methods and Analysis

    SBC: PreID Inc.            Topic: HSB0161010

    The Internet and mobile technologies has brought on a rapid transition from doing business "in-person" to remote. Knowing the identity of the individual at this other end of the wire is at the very foundation of trust and security of this new world. Traditional methods to prove identity, such as driver's licenses, were designed for "in-person" use, not the digital economy. Instead, the Internet ...

    SBIR Phase I 2016 Department of Homeland Security
  9. Practical Alternatives for Population-Scale Remote Identity Proofing

    SBC: POMIAN & CORELLA LLC            Topic: HSB0161010

    The purpose of this multiphase SBIR project is to identify, define and demonstrate a range of alternatives to knowledge-based verification for remote identity proofing. Knowledge-based verification is becoming less and less secure due to the increased availability to fraudsters of personally identifiable information. The project will expand the multidimensional space of remote identity proofing ...

    SBIR Phase I 2016 Department of Homeland Security
  10. OpenWatch: An Architecture for Scalable Resiliency Assessment

    SBC: INFERLINK CORP            Topic: HSB0161007

    In this project, we propose to develop software that employs open source information to assess a community's resilience and preparedness. The goal is challenging because current technology does not scale well due to the heterogeneity of the problem. Specifically, the heterogeneity of the data, as well as the heterogeneity of the assessment process makes it time-consuming to develop extractors ...

    SBIR Phase I 2016 Department of Homeland Security
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