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Award Data

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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. Electronic Embedded Glass

    SBC: INTELLISENSE SYSTEMS INC            Topic: SOCOM213004

    To address the USSOCOM need for a transparent in-vehicle display screen, Intellisense Systems, Inc. (Intellisense) proposes to develop a new Transparent Armor Nanostructure Display (TAND) system to enhance crew situational awareness, reduce cognitive workload, and eliminate in-vehicle stand-alone displays. This compact transparent armor (TA) display system is based on the unique combination of a f ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  2. sUAS Munition Teaming for Advanced Precision Strike

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: SOCOM21C001

    The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  3. sUAS Munition Teaming for Advanced Precision Strike

    SBC: INVARIANT CORPORATION            Topic: SOCOM21C001

    This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS deni ...

    STTR Phase I 2022 Department of DefenseSpecial Operations Command
  4. Next Generation Integrated Electrophoretic Nanofluidic Biochip Sensor Platform for the THz Spectroscopic Finger Printing of Biological Species and Age

    SBC: REDONDO OPTICS, INC.            Topic: CBD10110

    Redondo Optics Inc. (ROI), a world leader in engineering and manufacturing of leading-edge nano-materials, optical sensors, fiber and integrated optics, and advanced photonics instrumentation proposes to develop and demonstrate an integrated electrophoretic nanofluidic biochip sensor platform for the accurate, reliable, and fast-throughput “label-less” THz spectroscopy finger printing of biolo ...

    SBIR Phase I 2010 Department of DefenseOffice for Chemical and Biological Defense
  5. Continuously Variable Attenuated-Phase-Shifted Photomask for Integrated Spectroscopic Sensor Platforms enabled by Optical Nanolithography

    SBC: REDONDO OPTICS, INC.            Topic: CBD05107

    Redondo Optics Inc. (ROI), a world leader in engineering and manufacturing of leading-edge nano-materials, optical sensors, fiber and integrated optics, and advanced photonics instrumentation proposes to develop and demonstrate for the first time the concept of an etch-less, deep-UV, fully continuously variable attenuated-phase-shifted mask (ConvaPSMT) technology to enable ultra-high resolution, o ...

    SBIR Phase I 2005 Department of DefenseOffice for Chemical and Biological Defense
  6. High Energy Density Batteries

    SBC: WASATCH IONICS LLC            Topic: SOCOM232003

    Soldiers conducting missions on foot in remote locations must carry multiple battery powered electronic devices, such as multiband radio sets, night vision goggles and scopes, GPS tracking, thermal imagers, target designators, etc. These devices allow soldiers to target, move, and communicate in the modern battlefield. Depending upon the type of mission and its duration, soldiers might not have th ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  7. Hokkien Low Density Language Capability

    SBC: FEMTOSENSE, INC.            Topic: SOCOM232002

    Femtosense is an innovative tech startup leading the charge to deploy sparse AI using novel techniques that are far more affordable and easier to implement than traditional AI computational technologies. Femtosense’s invention – the Sparse Processing Unit (SPU-001) is a TRL level 7 processing chip poised to disrupt the $50B AI hardware market. It offers best-in-class SWaP-C (Size, Weight, Powe ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  8. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: KRTKL INC.            Topic: SOCOM23B001

    krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  9. Visual Augmentation Systems (VAS) Range Finder

    SBC: Maztech Industries LLC            Topic: SOCOM234003

    IERUS is developing a novel phased array ground terminal aperture architecture for the DoD's next generation of satellite constellations. With the proliferation of high-bandwidth satellites across LEO, MEO, and GEO, there is a need for SWaP-C optimized user terminal apertures. The IERUS solution implements scalable and mission-set reconfigurable technologies to enable rapid transition into operati ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  10. Topological Anomaly Detection

    SBC: ADVANCED ONION, Inc.            Topic: SOCOM224007

    We propose a study to assess the feasibility and efficacy of using graph/based analytics and Graph Neural Networks (GNN) to identify anomalous individual and organizational personas in financial transaction datasets. Currently, there is an urgent and expensive need to deny nefarious transnational state and non/state actors from accessing global financial systems, export/controlled technologies, cr ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
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