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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. FACT: Fast and Accurate Detection of Counterfeit Microelectronics

    SBC: Caspia Technologies LLC            Topic: DHS221003

    As outsourced microelectronic manufacturing grows, the safety and security of U.S. consumers becomes increasingly threatened by potential counterfeit electronics. Current counterfeit inspection techniques are labor intensive, time consuming, and impractical to use by field agents located on remote sites, away from major facilities, and with limited expertise. The proposed work, Fast and Accurate D ...

    SBIR Phase II 2023 Department of Homeland Security
  2. Broadband Push-to-talk Interoperability Platform (SBIR DHS221-004)

    SBC: CATALYST COMMUNICATIONS TECHNOLOGIES, INC.            Topic: DHS221004

    Broadband Push-to-Talk (PTT) services are offered by a diverse group of vendors and are being used on multiple cellular carriers in the US and internationally. These PTT services provide important communications tools for the first responder community during public safety incidents and events. U.S. State, Local, Tribal, and Territorial (SLTT) governments are using different PTT services which can ...

    SBIR Phase II 2023 Department of Homeland Security
  3. A Step Towards Agent Agnostic Detection of Biological Hazards

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: DHS221005

    This SBIR Phase II project proposes development of deep learning-based algorithms and software system that can identify biological and chemical threats at both functional and structural level from portal-based spectral measurements with high specificity and sensitivity. The proposed solution leverages recent advancements in the areas of chemical fingerprinting, latent representation learning, chem ...

    SBIR Phase II 2023 Department of Homeland Security
  4. Accurate and Real-time Hardware-assisted Detection of Cyber Attacks through AI/ML

    SBC: BLUERISC INC            Topic: DHS231001

    With expanded connectivity, the spectrum of devices that are susceptible to cyber-attack is constantly increasing.Beyond this, given the increased processing power and capabilities of everyday IoT/embedded devices, cyber-attacks that previously only targeted endpoints (e.g., botnets, ransomware, DoS, DDoS, etc.) are now broadly applicable.Unfortunately, current cyber-threat detection solutions are ...

    SBIR Phase I 2023 Department of Homeland Security
  5. Runtime Lightweight Hardware-Assisted Machine Learning-based Cyber Attack Detection

    SBC: 9 CORNER SOLUTIONS LLC            Topic: DHS231001

    The grand vision of the Internet-of-Things (IoT) boasts a fully connected, global network of devices or systems connecting every imaginable thing. Amelioration of miniature embedded computing devices into the consumer and industrial markets with enabled connectivity to the Internet towards smart and intelligent features leads to an upsurge in the size of networks through which they are linked and ...

    SBIR Phase I 2023 Department of Homeland Security
  6. CySense: Hardware-assisted Cyberattack Detection Engine

    SBC: Caspia Technologies LLC            Topic: DHS231001

    Cyberattacks are a growing concern in every market with network-connected devices. Attacks such as ransomware, malware, spyware, spoofing, botnets, and more, can result in intellectual property theft, system downtime, reputation damage, and unfortunately loss of life. Most cyberattack detection techniques are limited in scalability and detection efficacy as the cyberattack landscape is constantly ...

    SBIR Phase I 2023 Department of Homeland Security
  7. Support Intelligence and Fusion Technology to Ecologically Represent and Reason for Air Cargo Scanners (SIFTER-ACS)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: DHS231002

    Air cargo security is critical to minimizing the overall risk to national security. However, screening air cargo with current state-of-the-art computed tomography (CT) imaging is a complex and challenging task for screeners. To address current complexities and challenges, Charles River Analytics proposes to design and demonstrate Supportive Intelligence and Fusion Technology to Ecologically Repres ...

    SBIR Phase I 2023 Department of Homeland Security
  8. Enhanced Cargo Screening Analysis via Image-Manifest Correlation

    SBC: PHYSICAL SCIENCES INC.            Topic: DHS231002

    Physical Sciences Inc. (PSI) proposes to develop an air cargo screening software suite that automatically parses air cargo waybills and detects and localizes the reported cargo contents within X-ray images obtained during screening. The software will utilize state-of-the-art machine-learning (ML) and natural language processing techniques to rapidly analyze and correlate manifests with associated ...

    SBIR Phase I 2023 Department of Homeland Security
  9. Verifiable Credentials for First Responders

    SBC: DIGITAL BAZAAR INC            Topic: DHS231003

    Internet and Web standards play a critical role in the creation of competitive marketplaces by enabling interoperable solutions for digital identity, credentialing, and access management. With respect to first responder organizations, the use of new global identity standards for personnel identity and onsite qualifications when responding to a disaster not only have the power to increase security, ...

    SBIR Phase I 2023 Department of Homeland Security
  10. Machine Learning Based Integration of Alarm Resolution Sensors

    SBC: ANC GROUP LLC            Topic: DHS231004

    The purposes of the work is to determine feasibility of confidently characterizing shape, size and color, product brand name, volume, weight, density, utility (i.e., books, electronics, liquids, food, toiletries, etc.) of alarming objects and composition of their container (i.e., plastic, glass, metal, etc.) from collection and analysis of physical imagery of such objects, product barcode and grav ...

    SBIR Phase I 2023 Department of Homeland Security
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