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Award Data

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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. Forensic Models of Cyberspace Behaviors

    SBC: INTELLIGENESIS LLC            Topic: N19AT021

    Our solution will provide an automated system driven by advanced analytics and machine learning techniques to capture network traffic (including potential malicious events), perform forensic analysis of the events to identify threat actor tactics, techniques, and procedures (TTPs), create a database of classified events and TTPs (threat models) from which connections can be made between events, ac ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Cyber Adversary Discovery Engine (CADE)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N19AT021

    We propose to design and build the Cyber Adversary Discovery Engine (CADE) for forensic cyber analysis. CADE combines expressive behavioral modeling technology with machine learning to automatically recognize adversary behaviors, goals and tactics, techniques and procedures (TTPs). CADE can further automatically recognize changes in adversary TTPs that occur in forensic data. A key technical capab ...

    STTR Phase I 2019 Department of DefenseNavy
  3. ALCHEMI: Attacker Learning in Cybernetworks using Heterogeneous Energy-guided Model Inference

    SBC: APTIMA INC            Topic: N19AT021

    The United States relies on networks of cyber-physical systems to conduct military and commercial operations, such as logistics, transportation, information sharing, energy production and distribution, financial transactions, elections, and infrastructure management. As the volume and diversity of cyber-attacks on these networks dramatically increase, there is a growing need for advanced tools and ...

    STTR Phase I 2019 Department of DefenseNavy
  4. A Wavelength-scalable Dual-stage Photonic Integrated Circuit Spectrometer

    SBC: PHYSICAL SCIENCES INC.            Topic: N19AT023

    In this program, Physical Sciences Inc. (PSI) will team with Professor Ali Adibi’s group at the Georgia Institute of Technology to develop a photonic integrated circuit (PIC) spectrometer that can simultaneously achieve high-resolution over wide-bandwidths using a scalable and foundry-ready approach. While a PIC-based spectrometer is a key component for on-chip Raman, fluorescence, and absorptio ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Measuring Manipulation in Audiences Targeted by Coordinated Social Media Dissemination Tactics

    SBC: Intelligent Automation, Inc.            Topic: N19AT024

    The information environment has become a new battlefield for adversaries of the United States and its allies. Coordinated campaigns have been waged to radicalize, incite division, inflame, influence elections and public opinion on a variety of issues. These campaigns have weaponized social media by forming networks of synthetic accounts (botnets) which spread mis/disinformation, polarize groups an ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Joint User-centered Planning artificial Intelligence Tools for Effective mission Reasoning (JUPITER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N19BT029

    Effective mission planning is critical for military strategy and execution. This process is complex as human operators must consider many variables (e.g., resource limitations, threats, risks) when formulating a plan to accomplish mission goals. Although powerful tools, such as the Navy’s Joint Mission Planning System (JMPS), provide advanced functionality, mission planning remains a hybrid acti ...

    STTR Phase I 2019 Department of DefenseNavy
  7. REVAMP: REcommendation, Verification, and Analysis for Mission Planning

    SBC: Intelligent Automation, Inc.            Topic: N19BT029

    Effective and efficient data-driven mission support is crucial for achieving readiness and superiority in warfighting enterprises. Leveraging machine learning (ML) and artificial intelligence (AI) in mission planning would not only minimize the human-error factors and increase accuracy, but also improve speed in planning, execution, and evaluation of a mission. REVAMP will improve the next generat ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Robust, Low Permeability, Water-Filled Microcapsules

    SBC: TRITON SYSTEMS, INC.            Topic: N19BT030

    Triton Systems proposes to develop a process to synthesize water filled microcapsules that are able to contain the water in the microcapsules for extended (years) periods of time. We will develop accelerated aging tests to measure the water loss over the equivalent of 20 years of more. We will also measure the mechanical strength of the microcapsules before and during exposure to jet fuel, and whe ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Low Cost Magnetic Sensor for Mine Neutralizer Identification and Charge Placement

    SBC: QUSPIN INC.            Topic: N17AT013

    Optically pumped magnetometers provide very high performance but they cost tens of thousands of dollars, and they are large and power hungry. Recently we successfully developed and commercialized laser pumped magnetometers with size, weight and power consumption that is an order of magnitude below current state-of-the-art without sacrificing performance. In this project, the focus will be on produ ...

    STTR Phase II 2019 Department of DefenseNavy
  10. Multi-vehicle Collaboration with Minimal Communications and Minimal Energy

    SBC: ORBIT LOGIC INCORPORATED            Topic: N17AT029

    Orbit Logic,the University of Colorado, and the University of California are developing a hierarchical autonomous mission planning and response capability for Autonomous Underwater Vehicles (AUVs) to address the challenges associated with long duration operations. The research is innovating approaches to the exchange of information between collaborating vehicles enabling onboard decision-making to ...

    STTR Phase II 2019 Department of DefenseNavy
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