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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. 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
  2. Autonomous Mobile Ground Sensor for Enhanced ISR Missions

    SBC: BARRON ASSOCIATES, INC.            Topic: A18022

    Barron Associates proposes development of the Micro, Intelligent, Deployable Autonomous Sensor (MIDAS). MIDAS combines a compact vehicle design, leading ISR sensors, intelligent control for VTOL, helicopter-mode, and wing-borne flight, advanced vision processing, and automated recharging in an elegant and efficient package. MIDAS can be air-deployed from transport vehicles and its efficient aerody ...

    SBIR Phase I 2018 Department of DefenseArmy
  3. Covert and Dynamic Communications Arrays at V-Band Frequencies

    SBC: Nuvotronics, LLC            Topic: A18025

    Millimeter-wave frequencies of operation are increasingly attractive for a variety of military applications because of possible performance, size and cost advantages on space and power-constrained platforms. Nuvotronics proposes a solution for secure, high-bandwidth data links operating at V-band frequencies with the ability to dynamically adjust multiple characteristics of the communications chan ...

    SBIR Phase I 2018 Department of DefenseArmy
  4. Machine Learning Enabled Near-Real-Time Situational Response for Mechanical Systems

    SBC: Potomac Research LLC            Topic: A18034

    We propose RADEC: Reservoir-based Anomaly DEtection and Control, a system based on the reservoir computing paradigm of machine learning for model-free timeseries prediction and estimation.Reservoir computing uses fast, efficient training algorithms to learn the dynamics of a timeseries, and can be trained in an online mode to adapt to changing systems.The RADEC system consists of two main componen ...

    SBIR Phase I 2018 Department of DefenseArmy
  5. Detection and localization of GPS spoofing signal emitters

    SBC: COHERENT TECHNICAL SERVICES, INC.            Topic: A18035

    A prototype GPS spoofer detection and localization network will be designed and simulated. GPS spoofing will be detected with a multi-layered set of defenses using a network of receiver-detectors (RD). Each RD will include a tactical data link that includes a GPS-independent time synchronization and relative ranging function. Each RD will detect spoofing by monitoring the GPS signals, GNS-INS Kalm ...

    SBIR Phase I 2018 Department of DefenseArmy
  6. MEMES: Machine Learning for Mission Environment Support

    SBC: Intelligent Automation, Inc.            Topic: A18037

    We propose MEMES (Machine Learning for Mission Environment Support) to assess applicability of machine learning (ML) algorithms for mission command tasks and tailor ML algorithms to operational needs. Mission tasks (such as resource allocation, threat identification, and waypoint determination) are complex in terms of data (such as RF, cyber, mobility, video, and image) and decision-making process ...

    SBIR Phase I 2018 Department of DefenseArmy
  7. Emulated Long Term Evolution (LTE) Analysis Environment

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: A18038

    We propose to develop a flexible and scalable open-source emulation system able to deploy and analyze full Long Term Evolution (LTE) networks including eNodeB, EPC, and UE, integrated with proprietary tactical radio physical layers in EMANE framework. The LTE user-plane and control-plane functionality and standardized interfaces will be built based on OpenAirInterface (OAI), an open-source LTE sof ...

    SBIR Phase I 2018 Department of DefenseArmy
  8. Low-cost Imager for Heavily Degraded Visual Environments

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: A18040

    This project aims to develop a low-cost millimeter-wave (mmW) imaging system for ground vehicles, to operate in combination with a long-wave infrared (LWIR) camera. Such a system will mitigate the challenges of driving in degraded visual environments (DVE) including night time, fog, dust, or smoke by providing real-time image of the vehicle surrounding independent from the presence of naturally oc ...

    SBIR Phase I 2018 Department of DefenseArmy
  9. Radar for Obstacle Avoidance and Detection in all Environments (ROADE)

    SBC: McQ Inc.            Topic: A18040

    The purpose of this SBIR is to provide a low resolution imager that is unaffected by DVE (Degraded Visual Environments) encountered by Army ground vehicles. While LWIR cameras provide suitable image quality for navigation in daytime, nighttime, and light dust conditions, the quality degrades significantly in heavy dust, fog, or smoke conditions. The imager will be integrated together with a high r ...

    SBIR Phase I 2018 Department of DefenseArmy
  10. StormNetSpatio-Temporal Object Recognition on-the-Move Networks

    SBC: Intelligent Automation, Inc.            Topic: A18041

    Improvised explosive devices (IEDs) remain a serious threat to our warfighters in asymmetrical warfare scenarios. Intelligent Automation Inc. (IAI) proposes to leverage its expertise in object detection, classification, and machine learning technology to develop a robust object and threat detection for military vehicle operations. We call our approach Spatio-Temporal Object Recognition on-the-Move ...

    SBIR Phase I 2018 Department of DefenseArmy
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