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. Cargo X-Ray Image Anomaly Detection using Intelligent Agents

    SBC: Forell Enterprises, Inc.            Topic: N/A

    Our technical concept applies FORELL's unique intelligent agent technology to learn rules for detection of anomalies in images created by high energy x-rays, thereby reducing operator load, reducing false positives, and reducing inspection time. Our technology is unique in the creation of anomaly detection rules that are automatically generated through a unique intelligent agent learning capabili ...

    SBIR Phase I 2008 Department of Homeland Security
  2. Cargo Active Tracking Systems (CATS)

    SBC: Irvine Sensors Corporation            Topic: N/A

    The objective of the Homeland Security Advanced Research Projects Agency (HSARPA04.1-005) effort is to develop and prototype a ¿Tag System¿ for maritime shipping containers. The tracking information and status of a shipping container¿s tag system is performed on a global level in a variety of locations: 1) Pre-staged stacked on the dock; 2) Stored on-board of a transport ship; 3) Off-loaded fro ...

    SBIR Phase I 2004 Department of Homeland Security
  3. Carbon Nanotube Materials for Improved Chemiresistors

    SBC: Carbon Solutions Inc            Topic: N/A

    We propose to develop a novel class of sensor materials based on chemically functionalized single-walled carbon nanotubes (SWNTs). The proposed materials will be utilized in chemiresistor microarrays for improved detection of small molecule gases with reduced signal drift and extended lifetime. In addition, through chemical functionalization of the SWNTs their sensor properties can be tailored for ...

    SBIR Phase I 2007 Department of Homeland Security
  4. CanineTRAKR: Tracking Recorder Advanced K9 Radio

    SBC: MNW Tech Inc.            Topic: HSB0151007

    The purpose of this project is to develop the CanineTRAKR system - a low-profile, ruggedized canine mounted audio, video, and location tracking system. The data collected is date, time, and location stamped and stored locally as well as transmitted real-time to the canine handler and the command center coordination, location marking, and remote canine control. The CanineTRAKR system will be design ...

    SBIR Phase I 2015 Department of Homeland Security
  5. Breakthrough process to manufacture very low-cost LFP cathode for Li-ion batteries

    SBC: SYLVATEX, INC.            Topic: NA

    This project will use a low-cost, high-yield, and simplified continuous approach to synthesize lithium iron phosphate iron (LFP) based cathode materials for lithium-ion batteries (LIBs). Sylvatex’s (SVX) proprietary nanomaterial platform has already demonstrated a significant breakthrough in synthesizing cathode materials for LIBs. This project will demonstrate the feasibility of producing LFP-b ...

    SBIR Phase I 2022 Department of EnergyARPA-E
  6. Bounding generalization risk for Deep Neural Networks

    SBC: EULER SCIENTIFIC            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  7. Botnet Detection and Mitigation

    SBC: SONALYSTS INC            Topic: HSB061008

    Botnets have become a lucrative and monetized line of business for criminal organizations. As of late they have been found in a growing number of cases involving cyber-extortion via Distributed Denial-of-Services (DDOS), and mass phishing where their use of encryption and packing schemes keeps them off the radar of traditional discovery heuristics. The sophistication and proliferation of botnets i ...

    SBIR Phase I 2006 Department of Homeland Security
  8. 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
  9. Blockchain-based Anti-Spoofing and Integrity Protection

    SBC: INTELLISENSE SYSTEMS INC            Topic: DHS201002

    To address the DHS need for new remote sensor data protection and anti-spoofing techniques, Intellisense Systems, Inc. proposes to develop a new Blockchain-based Anti-Spoofing and Integrity Protection (BASIP) system. This proposed BASIP is based on redactable blockchain-based data protection and challenge-response-based spoof detection. The BASIP will offer high resilience to sensor spoofing and m ...

    SBIR Phase I 2020 Department of Homeland Security
  10. 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
US Flag An Official Website of the United States Government