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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.

Displaying 1 - 10 of 4921 results
  1. Modular Collapsible Hydro-Electric Generator (MCHEG)

    SBC: PHYSICAL SCIENCES INC.            Topic: N212102

    The US Marine Corps needs a portable, hydroelectric generator to provide electrical energy to recharge batteries and power equipment. Electrical energy used in the field today is primarily generated using diesel generators. Having the option to use an energy source present in the environment, such as a river or stream, reduces the need to transport and store fuel. In order to meet the Marine Corps ...

    SBIR Phase II 2023 Department of DefenseNavy
  2. Printable Dielectric for Flexible Hybrid Electronics

    SBC: ChemCubed, LLC            Topic: 2

    The goal for this Phase I research is to develop a stretchable dielectric ink that can be used for flexible applications. Printing electronics is a new and quickly growing alternative to traditionally manufactured electronics. Flexible hybrid electronics (FHE) is a novel approach to electronic circuit manufacturing that aims to combine the best of printed and conventional electronics. FHE devices ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  3. Autonomous Swarming Hierarchies (ASH)

    SBC: BOSTON FUSION CORP            Topic: N23BT031

    Boston Fusion Corp. and the Cyber-Physical Systems Laboratory at Rutgers University propose Autonomous Swarming Hierarchies (ASH), a platform-agnostic multi-robot system (MRS) design software suite with three components: 1) a coordination module (CASH) that uses artificial intelligence/machine learning to automatically generate control policies for the robots comprising the system, 2) a networking ...

    STTR Phase I 2023 Department of DefenseNavy
  4. Machine Learning and ocean variables for improved predictions of water availability in the US

    SBC: SALIENT PREDICTIONS INC            Topic: 94

    Salient Predictions Inc. proposes to develop new technology for accurate subseasonal to seasonal (S2S) water availability forecasts so that communities may manage water resources in preparation for hazardous events like floods and droughts. Current hydrological models face challenges related to data inputs, as climate change has been presenting weather patterns atypical from historical data. Witho ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Smokesonde: Low cost in-situ sampling of smoke and convective storm intensity supporting fire weather and incident meteorology

    SBC: YANKEE ENVIRONMENTAL SYSTEMS, INC.            Topic: 91

    We propose to develop in-situ low cost sensors to support fire meteorology for wildland fire emergency response, by blanketing the fire area with real time measurements. Sensors can be air-deployed to provide vertical atmospheric measurement profiles or hand-emplaced for augmenting existing surface fire weather stations. Each telemeters precision measurements of air temperature, solar radiation, i ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Compact Wideband Direction Finder (1023-013-002)

    SBC: SI2 TECHNOLOGIES, INC            Topic: AF161145

    SI2 Technologies, Inc. (SI2) proposes to develop a high-temperature antenna array for hypersonic projectiles. SI2’s proposed array will be conformal to the geometry of the projectile.  It will be constructed using high temperature conductors and dielectrics.  SI2 offers its unique combination of RF design expertise, manufacturing expertise, and high-temperature RF testing infrastructure.  SI2 ...

    SBIR Phase II 2023 Department of DefenseNavy
  7. Advanced Desiccant for Replenishment Air Moisture Removal

    SBC: TRITON SYSTEMS, INC.            Topic: N231064

    The Navy seeks to develop compact and energy efficient technologies to reduce the latent loads of outside air entering the ship during the summer while providing heat during the winter. This is similar to needs in building technology that are often addressed by using rotary desiccant wheels for dehumidification and by enthalpy wheels for preheating fresh makeup air in the winter. Removing water va ...

    SBIR Phase I 2023 Department of DefenseNavy
  8. Cold Weather and Fluid Resistant Gasket Material

    SBC: LaunchBay LLC            Topic: N231043

    As US Naval operations in the deep Artic North increase, gaskets and seals used in the battleships will be increasingly exposed to extremely low temperatures up to -40°F. Existing neoprene gaskets used DDG-51 destroyer are not designed for this extreme cold weather conditions. Therefore, new gasket materials are needed that have good resistance (low swelling) to a wide range of oils, hydrocarbons ...

    SBIR Phase I 2023 Department of DefenseNavy
  9. CodeSurgeon: Sound Full-Stack AI-driven Software Debloating

    SBC: TRAIL OF BITS INC            Topic: N23AT009

    We propose to develop and transition CodeSurgeon: an adaptable, AI-guided, full-stack debloating system. CodeSurgeon is innovative and unique in the field because it produces high-quality debloated programs with improved security posture that are safe, reliable, and sound. Following the lessons learned from a broad comparative evaluation of debloating tools conducted by the PI , CodeSurgeon will i ...

    STTR Phase I 2023 Department of DefenseNavy
  10. Sensor Modality Translation through Contrastive Deep Learning

    SBC: PHYSICAL SCIENCES INC.            Topic: N23AT013

    Physical Sciences Inc. (PSI), in collaboration with the University of Rhode Island, proposes to develop an advanced algorithm suite for data translation across sensing modalities to support the development of automated target recognition and classification algorithms for Unmanned Underwater Vehicles. The proposed Deep Diffusion Sensor Translation (DDST) leverages recent advancements in generative ...

    STTR Phase I 2023 Department of DefenseNavy
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