You are here
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
Advanced Technologies for Discrete-Parts ManufacturingSBC: Modumetal, Inc. Topic: DLA07001
The purpose of this SBIR effort is to commercialize an innovative method for the production of Modumetal™ discrete parts. The Phase I effort has demonstrated: (1) The low-cost production of monolithic parts of various scales using a net-shape (additive) manufacturing process, (2) An new production process in which cost and production volume are decoupled, and (3) Significant improvement in pr ...SBIR Phase II 2008 Department of DefenseDefense Logistics Agency
Manufacturing Improvements for DLA Lithium BatteriesSBC: Bren-Tronics, Inc. Topic: DLA161001
The proposed project covers manufacturing improvements in the production of specific high volume batteries of interest to DLA as specified in their SBIR Proposal Submission Request noted above, with the exception of the PRC-154 and PLM-4 Batteries. Bren-Tronics proposes to go directly to Phase II because we have already demonstrated the feasibility of the proposed manufacturing improvements on the ...SBIR Phase II 2016 Department of DefenseDefense Logistics Agency
Novel Methods to Measure Penetrator Dynamics in Multi-Layer GeometriesSBC: Thornton Tomasetti, Inc. Topic: DTRA07011
In Phase I of this effort we analyzed the structural response of a BLU 109 during typical penetration events. Based on these finite element results, we proposed and demsonstrated a simple robust concept for a passive penetrator sensor that identifies the material being penetrated and also correlates strongly with its underground trajectory. Such a sensor would obviously provide valuable informatio ...SBIR Phase II 2008 Department of DefenseDefense Threat Reduction Agency
Predictive Modeling Tools for Metal-Based Additive Manufacturing: A Composable Simulation Model for Metal Powder-bed Fusion Additive Manufacturing ProcessesSBC: 3DSIM LLC Topic: 90106
Additive manufacturing lacks efficient, composable physics-based computational frameworks to predict quality and performance for arbitrary geometry, orientation, location and process parameter combinations. A new set of composable computational tools capable of accurately predicting the geometrical accuracy, residual stress and microstructure of the parts made using metal based AM has been develop ...SBIR Phase II 2016 Department of CommerceNational Institute of Standards and Technology
The Characterization and Mitigation of Single Event Effects in Ultra-Deep Submicron (< 90nm) MicroelectronicsSBC: Orora Design Technologies, Inc. Topic: DTRA07005
Orora Design Technologies proposes to develop electronic design automation (EDA) tools employing minimally invasive circuit design-based methods to mitigate single event effects (SEEs) for next generation Ultra-DSM CMOS (SBIR Phase II 2008 Department of DefenseDefense Threat Reduction Agency