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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Mentoring and Responsive Learning through Intelligent Nautical Skill-modeling, Prompting, Intervention, and Feedback during Instructor-Controlled Exer

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N18AT014

    The safety and operational success of the U.S. Navy (USN) depends on expert navigation, seamanship, and shiphandling skills. Tragically, the Navy experienced four major incidents in 2017. The resulting USN Comprehensive Review identified lapses in basic seamanship and safe navigation skills as contributing factors, reinforcing the critical need for rigorous shiphandling training and proficiency as ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Energy Efficient, Non-Silicon Digital Signal Processing (DSP)

    SBC: HYPRES INC            Topic: N17AT027

    Superconductor digital circuits, operating at very high clock speed, can directly process wideband digitized radio frequency (RF) signals. By integrating such digital processing circuitry together with superconductor analog-to-digital converters (ADCs), we propose to develop the next generation digital-RF receivers. Leveraging the recent development of multiple superconductor ADCs on the same chip ...

    STTR Phase II 2018 Department of DefenseNavy
  3. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  4. High Hesitivity Magnetic Materials for Magnetic Toroid and Flat Dipole Antennas

    SBC: WINCHESTER TECHNOLOGIES LLC            Topic: N16AT001

    Magnetic materials with high hesitivity values are needed to achieve low-profile conformal broadband magnetodielectric antennas with significantly enhanced efficiency in HF-UHF. The higher the hesitivity, the higher the attainable efficiency in these magnetodielectric antennas. State of the art hesitivity as high as 6×10^6 O/m has been reported in CoZrNb alloy films. Further hesitivity improvemen ...

    STTR Phase II 2018 Department of DefenseNavy
  5. Shallow Water and Surf Zone Minehunting (MAD Swarm)

    SBC: PHYSICAL SCIENCES INC.            Topic: AF08T008

    The Shallow Water and Surf Zone Minehunting program (MAD SWARM) is described that spans the development and demonstration of swarming micro-air vehicles (MAV’s) equipped with Magnetic Anomaly Detectors (MAD’s) to autonomously detect and locate mine targets in shallow water and the surf zone. The MAD Swarm system incorporates low cost micro-air vehicle (MAV) technology, swarming sensor search/c ...

    STTR Phase II 2018 Department of DefenseNavy
  6. LeastProtocol: Minimizing Attack Surface by Removing Unwanted Protocol Features

    SBC: TRAIL OF BITS INC            Topic: N18AT018

    Standard protocols such as SSL, SSH, etc. are implemented as one-size-fits-all libraries. To maximize compatibility, these libraries implement rarely used features that increase attack surface. Examples include the SSL Heart Beat feature (HeartBleed) and weak SSH ciphers (LOGJAM).The Navy would like to reduce software attack surface by removing unused protocol features. Our proposal, LeastProtocol ...

    STTR Phase I 2018 Department of DefenseNavy
  7. Layered Inference for Cyber Network Knowledge Synthesis (LINKS)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N18AT019

    Providing effective cyber defense for the DoD is compounded by the fact there is not a single physical or logical entity that defines cyberspace. In reality, DoD networks are often composed of three disparate but interacting layers: a physical layer that defines the structure of the network (e.g., computers and routers), a logical layer that represents the static or dynamic state of data within th ...

    STTR Phase I 2018 Department of DefenseNavy
  8. Multi-Layer Mapping of Cyberspace

    SBC: AVIRTEK, INC.            Topic: N18AT019

    Cyberspace includes a wide range of physical networks, storage and computing devices, applications, and users with different roles and requirements. These can be grouped into three layers: Physical, Logical, and Cyber-persona layers. Securing and protecting such complex and dynamic cyberspace resources and services are grand challenges. This project aims at developing a multi-layer anomaly behavio ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Accurate Flow-Through Conductivity Sensor for Autonomous Systems

    SBC: D 2 INC            Topic: N18AT022

    UUVs have become increasingly important tools in the collection of environmental data. Their unique ability to operate independent of surface vessel conditions allows oceanographic seawater measurements when traditional means is not possible. Historically sensor packages for UUVs have been based on adaptions of ship deployed equipment. Recent development in sensors, such as the Hybrid Flow Through ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Structurally efficient CMC-PMC air frames

    SBC: PHYSICAL SCIENCES INC.            Topic: N18AT024

    The Physical Sciences Inc. (PSI) Team consisting of PSI, Draper Laboratories (Draper), and an airframe integrator are proposing a tunable hybrid composite structure capable of increasing the thermal operating performance by 500 C over conventional polymer matrix composites (PMCs). Our multifunctional composite approach combines PSIs low cost quasi-isotropic Ceramic Matrix Composite (CMC) system, a ...

    STTR Phase I 2018 Department of DefenseNavy
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