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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. Robust, Automatic Mesh Generation for Multidisciplinary Design of Naval Aircraft

    SBC: SIMMETRIX, INC.            Topic: N23AT001

    Multidisciplinary design, analysis, and optimization (MDAO) is a critical enabling technology for the design of complex systems such as naval aircraft. Using high-performance computing and modern analysis codes, many aspects of naval aircraft, and other, systems can be accurately modeled. However, the generation of the meshes analysis codes need as input is overly time consuming, while it takes su ...

    STTR Phase I 2023 Department of DefenseNavy
  2. MEMS Tunable Metalens Optics for MWIR Imaging

    SBC: PHOEBUS OPTOELECTRONICS LLC            Topic: N23AT007

    This effort aims to deliver a novel ultra-thin flat lens optics with a large aperture and active zoom capabilities that is based on metasurface metamaterial technology while being mindful of the size, weight, power, and cost. The proposed approach will achieve zoom through a tunable metalens system that operates using micro-electromechanical systems (MEMS) within a small and lightweight package fo ...

    STTR Phase I 2023 Department of DefenseNavy
  3. CodeSurgeon: Sound Full-Stack AI-driven Software Debloating

    SBC: TRAIL OF BITS INC            Topic: N23AT009

    We propose to develop and transition CodeSurgeon: an adaptable, AI-guided, full-stack debloating system. CodeSurgeon is innovative and unique in the field because it produces high-quality debloated programs with improved security posture that are safe, reliable, and sound. Following the lessons learned from a broad comparative evaluation of debloating tools conducted by the PI , CodeSurgeon will i ...

    STTR Phase I 2023 Department of DefenseNavy
  4. PrintRite3D? AI/ML for In-Situ Additive Manufacturing Defect Detection

    SBC: KITWARE INC            Topic: N222117

    Additive manufacturing (AM) increases the speed and flexibility of production and enables traditional part concatenation for advanced manufacturing capabilities. The ability for U.S. manufacturers to 3D-print advanced components in-house reduces reliance on traditional subtractive supply chains and bolsters national security readiness. While AM affords unique flexibility in design for manufacturab ...

    SBIR Phase I 2023 Department of DefenseNavy
  5. Active Low-Voltage Thin-Film Lithium Niobate Electro-Optic Modulator

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: N231010

    The primary technical objective of the proposed effort will be to investigate integration of optical gain medium with thin-film lithium niobate on insulator (TFLNOI) optical waveguides. Recent developments in crystal ion-sliced (CIS) TFLNOI have enabled a new class of electro-optic modulators and photonic integrated circuits with tighter mode confinement, a compact footprint, ultra-high bandwidth, ...

    SBIR Phase I 2023 Department of DefenseNavy
  6. Automatic Target Recognition (ATR) in Complex Underwater Environments

    SBC: BLACK RIVER SYSTEMS COMPANY, INC.            Topic: N231035

    Black River Systems Company, Inc. proposes a novel online machine learning (OML) solution for underwater ATR using acoustic, magnetic, and EO sensors. The proposed solution, called TRACE (Target Recognition Aided by Continuous Evolution), will utilize tailored feature extractors and a robust online Bayesian classifier to maximize ATR performance in challenging underwater environments. TRACE is des ...

    SBIR Phase I 2023 Department of DefenseNavy
  7. Eliminating ATR False Alarms in Complex Underwater Environments with Continuous Learning

    SBC: Neureon Incorporated            Topic: N231035

    AI technologies, such as deep neural networks (DNN), have entered a rapid ascent phase during which they will make significant contributions to the economy and society. It is critical that machine learning is exploited fully for national defense. The easiest deployment of DNNs for the Navy is evaluating growing data sources for intelligence and actionable information. One challenge with this appli ...

    SBIR Phase I 2023 Department of DefenseNavy
  8. Multi-Spectral Image Enhancement and Fusion

    SBC: EM PHOTONICS INC            Topic: N231045

    As the proliferation of video sensors continues, it becomes increasingly difficult to simultaneously monitor available video feeds to extract meaningful information. While automated analytics tools help, there is value to having a single, integrated view of a scene - a composite of the available cameras. These cameras may have different resolutions, framerates, and fields of view while operating i ...

    SBIR Phase I 2023 Department of DefenseNavy
  9. Autonomous Multi-Perspective Hierarchical Centralized Fault Monitoring System

    SBC: SINGULARITY - INTELLIGENCE AMPLIFIED, LLC            Topic: N231055

    Singularity-Intelligence Amplified, LLC (Singularity-IA) proposes the development of a multi-perspective hierarchical Centralized Fault Monitoring System (CFMS).  We plan to pursue a Modular Open Systems Approach (MOSA) by dividing the CFMS functionality into three portions: data import, data storage, and visualization.  We plan to develop each of these functions as separate modules, allowing th ...

    SBIR Phase I 2023 Department of DefenseNavy
  10. HIGH TEMPERATURE, LOW DIELECTRIC CONSTANT CERAMIC FIBERS FOR MISSILE APPLICATIONS

    SBC: FREE FORM FIBERS L.L.C.            Topic: N211059

    The technology that has sustained tactical missile radomes and other electromagnetic windows is being outpaced by the increasingly challenging thermal, environmental and structural demands of hypersonic flights. New engineered materials, that exceed state-of-the-art capabilities are required to support the next generation of hypersonic vehicles. Silicon nitride is the next-generation material cand ...

    SBIR Phase II 2023 Department of DefenseNavy
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