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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. DeepRL Sim-to-Real

    SBC: PIERRE JOHN M LLC            Topic: SCO182006

    Project FORCIS investigates solutions to the challenging problem of few-shot object detection. FORCIS leverages synthetic training data generated by simulation engines which are dynamically parameterized to maximize utility to a downstream deep-learning algorithm. We explore this approach, inspired by advances in the Reinforcement Learning (RL) branch of machine learning (ML), and contrast it agai ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  2. High-Dynamic Target Tracking in Multi-sensor Environments

    SBC: NUMERICA CORPORATION            Topic: SCO182005

    The Strategic Capabilities Office (SCO) of OSD is leading a program to demonstrate a Hyper-Velocity Projectile (HVP) Gun Weapon System (HGWS) within the DoD. Emerging missile threats are highly agile, exhibit unpredictable behavior and are often protected by sophisticated counter-measures. To support the deployment of HVP weapon systems for defense against these threats, a comprehensive multi-targ ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  3. Few-shot Object detection via Reinforcement Control of Image Simulation (FORCIS)

    SBC: EXPEDITION TECHNOLOGY, INC.            Topic: SCO182006

    This Phase 2 Enhancement seeks to improve the quality of synthetic data to be representative of real data (using whatever criteria the algorithm deems important for detect, classify, and track of an object of interest at rest and/or in motion) and to maximize algorithm performance such that when the algorithm is introduced to real data with a real object of interest in its real environment, the al ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  4. Reinforcement Learning with Intelligent Context-based Exploration (RL-ICE)

    SBC: SOAR TECHNOLOGY INC            Topic: SCO182006

    This effort will extend the RL-ICE capability for low-shot object detection to operate with zero real data within the MWIR band (zero-shot learning). Our goal is to 1.) mature our software, 2.) maximize the performance benefit of synthetic data in training an object detector and, 3.) assess the trade-space of real vs synthetic data by comparing performance to a detector trained on fully real data. ...

    SBIR Phase II 2023 Department of DefenseOffice of the Secretary of Defense
  5. High-Throughput Computer Vision/Etegent Technologies, LTD

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: SCO182007

    The Etegent team proposes to design and demonstrate the feasibility of a hardware processor system capable of supporting computer vision (CV) object detection on tens of gigapixels per second in SWaP (Size, Weight and Power) limited environments. Specifically, this proposal will design and implement a modular and composable parallel computing software framework and prototype hardware system enabli ...

    SBIR Phase II 2022 Department of DefenseOffice of the Secretary of Defense
  6. QUINN (Quantum INspired Neural Networks)

    SBC: SOAR TECHNOLOGY INC            Topic: SCO183001

    QUINN (Quantum INspired Neural Networks) is a cybersecurity implementation to be deployed alongside a machine learning system (especially a reinforcement learning, active learning, and computer vision system) to harden said system from both standard generative adversarial attacks (noise injection) and cyber-physical attacks. This protection is provided by three unique components that perform attac ...

    SBIR Phase II 2022 Department of DefenseOffice of the Secretary of Defense
  7. Recycling Fast-Response Atom Interferometer for Navigation (ReFRAIN)

    SBC: PHYSICAL SCIENCES INC.            Topic: OSD221006

    Physical Sciences Inc. (PSI) will develop a Recycling Fast-Response Atom Interferometer for Navigation (ReFRAIN) as an atom interferometer (AI) accelerometer specially designed to improve inertial navigation systems (INS) on moving platforms.  The ReFRAIN provides sensitivity, dynamic range, bandwidth, and bias stability that matches or exceeds state of the art mechanical accelerometers.  PSI in ...

    SBIR Phase I 2022 Department of DefenseOffice of the Secretary of Defense
  8. Precision Automated Instrumented Landing Survey

    SBC: INTELLISENSE SYSTEMS INC            Topic: AF192006

    The United States Air Force (USAF) relies on the Federal Aviation Administration (FAA) as its sole service provider for commissioning flights for all navigation aids (NAVAIDs), including the Deployable Instrument Landing System (D-ILS). If the D-ILS is not properly calibrated, the certification of the runway can take excessive time, causing excessive cost build-up and delayed certification, or can ...

    SBIR Phase II 2022 Department of DefenseOffice of the Secretary of Defense
  9. Conformal, High Temperature Electronic Devices

    SBC: FIRST RF CORPORATION            Topic: OSD193003

    Advancements in sensing/COMM abilities of hypersonic platforms is key in enabling the US forces to stay ahead of potential adversaries by increasing operational scope and performance. FIRST RF has, over the years, developed numerous key antenna technologies capable of sustained operation in the hypersonic regime. Key operational capabilities of hypersonic vehicles are closely tied to the thermal l ...

    SBIR Phase I 2021 Department of DefenseOffice of the Secretary of Defense
  10. Educational Tool Development and Pilot Deployment to Facilitate Adoption of Advanced Manufacturing Technology

    SBC: Lanterman Group, LLC, The            Topic: OSD192003

    According to McKinsey and Company, less than 10% of companies today possess a robust capability for moving rapidly from a manufacturing strategy through technological identification and prioritization to implementation. TheLanterman Group's objective of this proposal is to demonstrate the feasibility of a blended learning framework along defined pathways for small and medium businesses who want to ...

    SBIR Phase I 2021 Department of DefenseOffice of the Secretary of Defense
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