You are here
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.
-
Further Experimental Validation of a Fluid-Structure-Material Interaction (FSMI) Modeling and Simulation Toolset
SBC: ATA ENGINEERING, INC. Topic: AF17AT025ATA Engineering, Inc. (ATA), partnered with a nonprofit research institution, CUBRC, Inc., (CUBRC), proposes a Phase II STTR project to further develop and continue validating a novel multiphysics simulation technology. The project team will implement the technology in a fluid-structure-material interaction (FSMI) software toolset that incorporates mutual interactions between aerodynamics and stru ...
STTR Phase II 2020 Department of DefenseAir Force -
Functional Engineering of a Photosynthetic Desalination Pump Circuit
SBC: Phytodetectors, Inc. Topic: GPhytodetectors will design and engineer a synthetic biological pump circuit to increase the volume of water produced via photosynthetic desalination. This project builds off previous technology designed by Phytodetectors: a mangrove-inspired ultra-filter that allows plants to purify salt water as well as secrete water with properties comparable to bottled water. The partnership seeks to demonstrat ...
STTR Phase I 2020 Department of EnergyARPA-E -
Enabling Technology- Reducing Greenhouse Gas Emissions and Energy Demands in the Meat Production Industry via Scaling Advanced 3D Culture Bioreactors
SBC: Cambridge Crops, Inc. Topic: GFood production, and in particular animal-derived meat products, are a major source of green-house gases, compounded by the remarkable inefficiency in biomass conversion (grain to dense muscle tissue in meat), along with growing challenges with food safety, quality and nutrition. To address this growing problem, we propose to exploit the emerging field of cellular agriculture (tissue engineering o ...
STTR Phase I 2020 Department of EnergyARPA-E -
Enabling Technology- Reducing Greenhouse Gas Emissions and Energy Demands in the Meat Production Industry via Scaling Advanced 3D Culture Bioreactors
SBC: Cambridge Crops, Inc. Topic: GFood production, and in particular animal-derived meat products, are a major source of green-house gases, compounded by the remarkable inefficiency in biomass conversion (grain to dense muscle tissue in meat), along with growing challenges with food safety, quality and nutrition. To address this growing problem, we propose to exploit the emerging field of cellular agriculture (tissue engineering o ...
STTR Phase II 2020 Department of EnergyARPA-E -
REsilience & Stability In DENse Terrains (RESIDENT)
SBC: BOSTON FUSION CORP Topic: ST17C003Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a multi-modal, multi-model, multi-scale framework for assessing indicators of stability and resilience in dense urban environments. Our team consists of subject matter experts in the Social and Computer Sciences providing the bedrock on which to build accurate mathematica ...
STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency -
Stable High Bandwidth AO Control with physical DM constraints
SBC: Guidestar Optical Systems, Inc. Topic: AF18AT008Adaptive optics (AO) can compensate for the aberrating effects of atmospheric turbulence which degrade the performance of high energy laser (HEL) weapon systems and, as such, is an enabling technology for effective deployment of HEL weapon systems. A key component in an HEL AO system is the deformable mirror (DM). However, mechanical constraints in currently available DMs limits AO system performa ...
STTR Phase II 2020 Department of DefenseAir Force -
Flexible Low Temperature CO2 Capture System, E-CACHYS
SBC: ENVERGEX LLC Topic: 1This project focuses on the design, integration and optimization of a flexible natural gas combined cycle plant with carbon capture, capable of operating in a highly variable renewable energy environment. Renewable energy sources such as wind and solar power offer unique solutions in our quest to reduce global carbon dioxide (CO2) emissions. However, the increasing penetration of these high variab ...
STTR Phase I 2020 Department of EnergyARPA-E -
Flexible Low Temperature CO2 Capture System, E-CACHYS
SBC: ENVERGEX LLC Topic: 1This project focuses on the design, integration and optimization of a flexible natural gas combined cycle plant with carbon capture, capable of operating in a highly variable renewable energy environment. Renewable energy sources such as wind and solar power offer unique solutions in our quest to reduce global carbon dioxide (CO2) emissions. However, the increasing penetration of these high variab ...
STTR Phase II 2020 Department of EnergyARPA-E -
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 -
fORE: fNIRS Operational Readiness Estimation
SBC: APTIMA INC Topic: DHA19B001Thestate of warfighters (whether theyarefatigued, distracted,and/or stressed)and of theteam (whether theyare workingtogethereffectivelyand cohesively)greatly impact thelikelihood ofmission success. The brain isan excellent source of data with which to assess individualand team states. Unfortunately,current technologiescannot supportcontinuous neural statemonitoring of warfightersacross themany dif ...
STTR Phase I 2020 Department of DefenseDefense Health Agency