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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. 6000297

    SBC: Chip Design Systems Inc.            Topic: AF18AT017

    We propose to develop an innovative concept of the high speed dynamic IRSP that combines components and devices from proven suppliers with novel system-level research topics from CDS and University of Delaware. Having previously built and delivered working LED IRSPs to users gives CDS a unique advantage. In line with system theme of the solicitation, our phase 1 research topics are focused on syst ...

    STTR Phase I 2018 Department of DefenseAir Force
  2. ACA-SSURS: Aerial Cloud Analytics for Surface SUrveillance and RF Situational Awareness

    SBC: Intelligent Automation, Inc.            Topic: AF171040

    Current airborne sensors produce very large volumes of data, but the airborne battle managers aboard BMC2 platforms do not have the appropriate analytics to process this massive data. Lack of appropriate analytics represents a missed opportunity to extract additional and timely actionable intelligence, especially considering the fact that, in most cases, data bandwidth to the command center is lim ...

    SBIR Phase II 2018 Department of DefenseAir Force
  3. Achieving Transformative Productivity through application of Collaborative Augmented Reality Systems (CARS)

    SBC: VECNA TECHNOLOGIES, INC            Topic: DLA181001

    The Defense Logistics Agency (DLA) is seeking to automate parts of their procurement, logistics, and distribution processes by applying Augmented Reality (AR) solutions to increase efficiency and reduce costs. Vecna Robotics' world-leading automation consulting team is well-positioned to leverage a deep and broad understanding of advanced technology and its application to warehouse operations. Vec ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. Adaptable Boat Launch and Recovery System

    SBC: MARITIME APPLIED PHYSICS CORPORATION            Topic: N181056

    The Navy desires a system on board the Zumwalt Class guided missile destroyers (DDG 1000) to manage the deployment and retrieval of a variety of craft or other assets from the boat bay to the sea and back to expand the capability of the ship class in support the Navys future needs. Current launch and recovery systems for boat bays are designed for specific craft, not allowing for damage-free inter ...

    SBIR Phase I 2018 Department of DefenseNavy
  5. Adaptable Boat Launch and Recovery System

    SBC: ADVANCED TECHNOLOGY AND RESEARCH CORPORATION            Topic: N181056

    An innovative system called Adaptable Boat Deployment and Retrieval System (ABDRS) is proposed to safely handle a variety of current and future crafts and other assets from the boat bay of DDG 1000 class in seas up to sea state 5 conditions. It employs a tethered sled to interface the returning vehicle outside of the boat bay. The sled is purposely designed to be adaptable to different ship hull f ...

    SBIR Phase I 2018 Department of DefenseNavy
  6. Adaptive Armor Actuator Mechanisms

    SBC: INNOVITAL SYSTEMS INC            Topic: A17115

    Conventional vehicle armor has evolved considerably over the years, including homogeneous plates, composite materials, and reactive substrates. Variable orientations have also been implemented, including curved, sloped, angled, and spaced plates. A common characteristic among these conventional armor solutions is that they are static and incapable of changing in response to local threats. Adding a ...

    SBIR Phase II 2018 Department of DefenseArmy
  7. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Additive Manufacturing for RF Materials and Antennas

    SBC: Delux Advanced Manufacturing, LLC            Topic: A18020

    To reduce size, weight, power and cost (SWaP-c), military platforms have been evolving towards more integrated platforms that utilize all available space. For radiating systems, this will require exploring innovative design methods, materials and manufacturing approaches to realize cost-effective, customizable and conformal antennas. An attractive solution to this challenge is offered by additive ...

    SBIR Phase I 2018 Department of DefenseArmy
  9. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  10. A Deep Learning based Approach to Wave Characterization from INLS Warping Tug Motions

    SBC: Intelligent Automation, Inc.            Topic: N172123

    Navys ship-to-shore cargo transfer operations, supported by the INLS, is largely dependent on local wave characteristics for decision making and throughput planning. In this proposal, Intelligent Automation Inc. (IAI), along with its subcontractor Lockheed Martin (LM), propose to develop a Wave Characteristics Measurement System (WCMS) based on state-of-the-art deep learning algorithm to estimate ...

    SBIR Phase I 2018 Department of DefenseNavy
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