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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. Response to DHS Small Business Innovation Research Program

    SBC: Bode Cellmark Forensics, Inc.            Topic: HSB0191001

    Rapid DNA analysis has the potential to be a paradigm shifting technology in the realm of forensic human identification and make DNA the ultimate biometric.Where confirmation of suspects relating to evidence, confirmation of familial relationships in a multitude of applications, or obtaining identification of human remains could have once taken months or years, rapid DNA enables this to be complet ...

    SBIR Phase I 2019 Department of Homeland Security
  2. ICAM On-the-Fly

    SBC: CARDSMART TECHNOLOGIES, INC.            Topic: HSB0191002

    Trusted identification and provisioning of public safety individuals is extremely difficult during the chaos and time criticality of emergency response operations. Previously unknown individuals must be verified/vetted/provisioned without the benefit of a thorough face-to-face, manual review. The problem is made worse by the lack of a universally accepted system for identity sharing and coordinati ...

    SBIR Phase I 2019 Department of Homeland Security
  3. Dynamic AccessID Network and Toolkit

    SBC: WAVERLEY LABS, L.L.C.            Topic: HSB0191002

    First generation ICAM systems are long overdue for improvements because identity federation and managing access based upon ICAM guidelines during emergencies is still non-existent. Existing ICAM solutions are closed, place onerous restrictions on the trust mechanism, do not account for mobile environments and are static in nature. The innovation proposed will, for the first time, provide the abili ...

    SBIR Phase I 2019 Department of Homeland Security
  4. Quick User Vetting for a Multi-jurisdictional Event

    SBC: Oasys International Corporation            Topic: HSB0191002

    The Public Safety Community (Community) would like to share information between jurisdictions, but need to trust with a reasonable certainty that the users viewing this information are who they say they are. Similarly, the Federal government and other organizations need to be reasonably sure that their new users are accessing the right information online. Identity proofing a user, either remotely ...

    SBIR Phase I 2019 Department of Homeland Security
  5. Power and Rechargeable Battery Interface Smart Module

    SBC: INTELLISENSE SYSTEMS INC            Topic: HSB0191003

    To address the DHS need for a module that can power/charge and provide effective power management of all on-body electronics including sensors, communications systems, and peripheral devices for all first responder mission areas, Intellisense Systems, Inc. (ISI) proposes to develop a new Power and Rechargeable Battery Interface Smart Module (PRISM). This proposed technology is based on a novel mod ...

    SBIR Phase I 2019 Department of Homeland Security
  6. Conformal Power Module for First Responders

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: HSB0191003

    First responders use of portable electronic devices including cell phones and radios has increased dramatically over the past decade and will continue to grow with the introduction of new visual augmentation systems, wearable sensors, and mobile computing systems being developed under the DHS Next Generation First Responder (NGFR) Apex program. The large number of powered devices, each with their ...

    SBIR Phase I 2019 Department of Homeland Security
  7. On Body Power Module for First Responders

    SBC: TDA RESEARCH, INC.            Topic: HSB0191003

    Next Generation First Responders, also known as NGFRs, will carry more battery powered sensors and IoT to wirelessly connected devices beyond cellphones, radios, and peripheral PPE devices, with their range of power requirements and charging connectors.Requiring first responders to track battery levels and recharge multiple devices would distract from their missions.A Power Module for First Respon ...

    SBIR Phase I 2019 Department of Homeland Security
  8. Robust Design of Chemical Gas Sensor Arrays (CGSA) Using the Maximum Likelihood Estimator and Cramer-Rao bound.

    SBC: N5 SENSORS INC            Topic: HSB0191004

    We will develop, demonstrate, and built a sensor array designed frommathematical models thatare based on the maximum likelihood estimator(MLE), the Cramer- Rao lower bound (CRB), and the density function theory(DFT). The MLE will be used to estimate the concentration of the gases inside a mixture by minimizing the error trough the Cramer-Rao bound.The DFT method will model thephysisorption and che ...

    SBIR Phase I 2019 Department of Homeland Security
  9. Passenger and Baggage Simulation for Synthetic Image Generation (PASSIG)

    SBC: INNOVISION LLC            Topic: HSB0191005

    Innovision LLC proposes an innovative and robust solution to this topic, a software tool named PASSIG (Passenger and Baggage Simulation for Synthetic Image Generation), which can be used to quickly create 3D passenger models and baggage models. These models, in turn, can be used by electromagnetic simulation (EMS) tools to generate synthetic passenger and baggage Xray and MMV images for machine le ...

    SBIR Phase I 2019 Department of Homeland Security
  10. Synthetic Training Data for Explosive Detection Machine Learning Algorithms

    SBC: SYNTHETIK APPLIED TECHNOLOGIES LLC            Topic: HSB0191005

    Deep learning offers a powerful and extensible toolset to achieve or exceed human-level accuracy for automatic object detection in stream of commerce data. However, in order to train deep machine learning-models for 2D and 3D screening a significant quantity of high-quality ground-truth training data is required.We propose SoCPhysics: A Stream-of-Commerce Physics-Based Data Generation Application, ...

    SBIR Phase I 2019 Department of Homeland Security
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