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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Additive Manufacturing for Li-Ion Batteries (Phase II)

    SBC: Physical Sciences Inc.            Topic: N18AT008

    Physical Sciences Inc. (PSI) will construct and demonstrate Li-ion cells for Naval Aviation applications using solvent free additive manufacturing techniques. Lithium-ion batteries simultaneously offering high energy and power density will be demonstrated using novel solvent-free electrode feedstocks. PSI will work with the Complex Fluids Lab (CFL) at the University of Connecticut to optimize the ...

    STTR Phase II 2019 Department of DefenseNavy
  2. 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
  3. 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
  4. 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
  5. 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
  6. FPGA Vulnerability Analysis Tools

    SBC: BLUERISC INC            Topic: N19AT018

    BlueRISC's proposed solution takes the form of an automated toolkit that is able to analyze an FPGA bitstream with respect to exploitability. The solution relies on an FPGA-agnostic framework for automatically reverse-engineering an FPGA-bitstream into an intermediate representation (IR). This IR is FPGA agnostic and enables a program-analytic framework for extracting a fundamental FPGA-centric Vu ...

    STTR Phase I 2019 Department of DefenseNavy
  7. 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
  8. Targeted Enhancement of Critical Composite Interfaces using Vertically Aligned Carbon Nanotubes

    SBC: N12 TECHNOLOGIES, INC.            Topic: N19AT003

    Vertically-aligned carbon nanotubes (VACNTs) will be selectively applied at interfaces in laminated composite structures to effect locally the mechanical properties that limit rotorcraft structures, such as fatigue and damage tolerance. In Phase I this work will quantify these effects in CFRP and CFRP/GFRP hybrid coupons. The VACNT material will be transferred directly onto prepreg plies, but also ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Interlaminar Reinforcement of Composite Rotorcraft Components via Tailored Nanomorphologies of Aligned Carbon Nanotubes (A-CNTs)

    SBC: METIS DESIGN CORP            Topic: N19AT003

    Composites are often used in aerospace applications due to their superior specific strength and stiffness properties, as well as their resistance to fatigue and corrosion. In particular for rotorcraft, composites offer additional benefits for their versatility in tailoring material properties for such components as rotor blades. However, rotors introduce additional challenges by including multiple ...

    STTR Phase I 2019 Department of DefenseNavy
  10. TACTIC-D II: Techniques to Adjust Computational Trends Involving Changing Data

    SBC: APTIMA INC            Topic: N17BT032

    The US Navy recognizes the potential for “big data” to facilitate force readiness. However, the analysis of such data presents numerous challenges, among them, (1) the evolving nature of Navy tactics, hindering apples-to-apples comparisons; (2) the presence of many interdependent platforms, making data complex; and (3) presenting analyses to humans, making understandability important. Aptima ...

    STTR Phase II 2019 Department of DefenseNavy
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