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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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Target Recognition and Acquisition in Complex Environments (TRACE)
SBC: TOYON RESEARCH CORPORATION Topic: HQ085021S000108The Space Development Agency’s (SDA) Tracking Layer is tasked with providing global indications, warning, tracking, and targeting of advanced missile threats, including hypersonic missile systems. They are currently leading the development of an Overhead Persistent Infrared (OPIR) Missile Tracking satellite constellation in LEO as part of the DoD’s future threat-driven National Defense Space A ...
STTR Phase I 2021 Department of DefenseSpace Development Agency -
KMI-aware Mesh Network NSA Certifiable Cryptographic Solution
SBC: Arkham Technology Limited Topic: HQ085021S000106With incoming hypersonic and ballistic threats, the Optical Intersatellite Link (OISL) system must transfer large quantities of data in real-time across a mesh network of satellite crosslinks, and back-and-forth with the ground. Very high-speed, low-latency, mesh network encryptors are available on the ground; however, no interoperable National Security Agency (NSA) certified devices currently exi ...
STTR Phase I 2021 Department of DefenseSpace Development Agency -
Eye-readable Solution-based Dye Displacement Probe for Large-area Detection of Opioids
SBC: INTELLIGENT OPTICAL SYSTEMS, INC. Topic: CBD20AT001Intelligent Optical Systems, Inc., in collaboration with Bowling Green State University, proposes to develop a field-rugged, eye-readable indicating spray solution that can immediately detect synthetic opioids over a large area of contamination (i.e., military vehicles, individual protective equipment, clandestine labs, etc.). The proposed chemosensor in a spray solution format will detect multipl ...
STTR Phase I 2021 Department of DefenseOffice for Chemical and Biological Defense -
Bounding generalization risk for Deep Neural Networks
SBC: Euler Scientific Topic: NGA20A001Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels. In an ...
STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency -
Marburg Virus Prophylactic Medical Countermeasure
SBC: MAPP BIOPHARMACEUTICAL, INC. Topic: CBD18A002There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...
STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense -
Marburg Virus Prophylactic Medical Countermeasure
SBC: Flow Pharma, Inc. Topic: CBD18A002Flow Pharma, Inc. is a biotechnology company in the San Francisco Bay Area developing fully synthetic cytotoxic T lymphocyte (CTL)stimulating peptide vaccines for Marburg virus. The FlowVax vaccine platform allows us to create dry powder formulations of biodegradablemicrospheres and TLR adjuvants incorporating class I and class II T cell epitopes. FlowVax vaccines can be designed for delivery by i ...
STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense -
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery
SBC: TOYON RESEARCH CORPORATION Topic: 1On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency