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Award Data
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.
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Integrated, Resilient, and Highly Adaptable Aerospace Information Networks
SBC: OWL Integrations, Inc. Topic: X22DOTCSO1United States Air Force S&T identifies five strategic capabilities: 1) Global Persistent Awareness, 2) Resilient Information Sharing, 3) Rapid, Effective Decision-Making, 4) Complexity, Unpredictability, and Mass, and 5) Speed and Reach of Disruption and
STTR Phase II 2023 Department of DefenseAir Force -
Hybrid Biological Systems/Biomaterials for In-Body Sensing
SBC: OCEANIT LABORATORIES INC Topic: AF23AT002The proposal describes an under-the-human skin implantable sensor that can measure biological markers of interest continuously and provide a signal that can be interrogated either with an external device or internally, as part of the implantable device it
STTR Phase I 2023 Department of DefenseAir Force -
Innovative Method for Development of Hemp based Fabric
SBC: Technology Holding, LLC Topic: N21AT001Hemp-based clothing are excellent for outdoor active wear, due to high strength, UV-protective qualities, mold resistance, and excellent moisture absorption and desorption. While academic research on hemp-based textiles in the US is increasing, it has naturally also become an area of interest to competing countries. Specifically, China is outperforming the US in hemp fiber technological advancemen ...
STTR Phase II 2023 Department of DefenseNavy -
Realistic UUV Data Transformation Tool
SBC: MAKAI OCEAN ENGINEERING INC Topic: N23AT013Undersea target recognition from sensor systems onboard unmanned underwater vehicles (UUVs) play a critical role in the US Naval strategies and mission capabilities. Machine Learning provides a game-changing opportunity for improved Automated Target Recognition (ATR), but current attempts remain limited due to a lack of adequate training data. ML-based ATR algorithms are statistics-based systems; ...
STTR Phase I 2023 Department of DefenseNavy -
SROC LEO: Super-Resolved Object Characterization in Low Earth Orbit Phase II
SBC: OPHILLIA HOLDINGS INC Topic: X22DOTCSO1Abstract: SROC LEO’s programmatic objective is to significantly improve real-time space object characterization for low earth orbit (LEO) targets – specifically satellites; by uniquely combining proven super-resolution and fast kinematic methods. SROC LEO
STTR Phase II 2023 Department of DefenseAir Force -
Scalable MXene Synthesis for Aerospace Applications
SBC: BALLYDEL TECHNOLOGIES INC. Topic: AF21ATCSO2During the Phase II effort, Ballydel Technologies will develop scalable and safe processes for the manufacture of MAX phase and MXene powders in 1Kg batch sizes. Additionally, our team will implement commercial-scale mixing procedures for the production
STTR Phase II 2023 Department of DefenseAir Force -
Novel Method for Renewable JP10 Production
SBC: Technology Holding, LLC Topic: N23AT015Currently, all JP10 is produced from fossil sources. The objective of the proposed project is to develop a scalable synthetic approach to producing JP-10 that meets military specification, MIL-DTL-87107E from non-fossil sustainable energy resources. During phase I, we will define, develop, and perform initial laboratory assessment of the proposed synthetic process to validate the technical feasi ...
STTR Phase I 2023 Department of DefenseNavy -
Learning Architecture for Short-Term Forecasts of Cloud Characteristics Using Satellites (LAST FOCUS)
SBC: NEXTGEN FEDERAL SYSTEMS LLC Topic: N23AT025The Learning Architecture for Short-Term Forecasts of Cloud Characteristics Using Satellites (LAST FOCUS) introduces a novel approach and state-of-the-art ML methodologies to forecast cloud properties including, but not limited to, ceiling, optical depth, phases, and reflectance. Using a suite of cloud-observing geostationary and Low-Earth Orbiting (LEO) satellites, atmospheric profiles, and an ...
STTR Phase I 2023 Department of DefenseNavy -
Validating Communications between Trusted and Untrusted Vehicle Control Systems II
SBC: OCEANIT LABORATORIES INC Topic: A20BT020In this Phase II Project, Oceanit will implement a decentralized and distributed blockchain like security solution on a vehicle network to enable incorruptable and resilient communications.
STTR Phase II 2023 Department of DefenseArmy -
In-Situ Atmospheric Path Characterization and Performance Forecasting
SBC: EO SOLUTIONS LLC Topic: AF22DT003EO Solutions in partnership with the Center for Directed Energy at the Air Force Institute of Technology (AFIT) will demonstrate through modeling and simulation the concepts of using meteorological data and forecasting along with optical measurements to demonstrate the ability to forecast the optical seeing parameters predicting statistical turbulence on a longer time basis, and the actual turbule ...
STTR Phase I 2023 Department of DefenseAir Force