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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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Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA Nuclear Enterprise Support Office (NESO) NSN: 4920-01-284-0198
SBC: PARTS LIFE INC Topic: DLA183001Parts Life, Inc. is proposing to improve product availability and increase competition through the development of a Source Approval Requests (SAR) for Tool Set, Dome Nut NSN 4920-01-284-0198 with government provided technical data through our Reverse Engineering (RE) Process. Upon contract award, if DLA has adequate technical data available, Parts Life, Inc. will utilize the technical data to deve ...
SBIR Phase I 2019 Department of DefenseDefense Logistics Agency -
Source Approval and Low Rate Production of the Valve Piston (4810-01-269-4808)
SBC: MAINSTREAM ENGINEERING CORP Topic: DLA183006Increased competition and improved lead times are desired by the Defense Logistics Agency (DLA) to facilitate NESO in supporting the needs of the U.S. Air Force and U.S. Navy nuclear communities. Mainstream Engineering has carefully reviewed the technical data package for NSN 4810-01-269-4808 provided in the solicitation and is confident that we possess the manufacturing capability, quality manage ...
SBIR Phase I 2019 Department of DefenseDefense Logistics Agency -
Production and Source Approval for NSN 5305-01-417-8566 Socket Cap Screw
SBC: MAINSTREAM ENGINEERING CORP Topic: DLA183009The Defense Logistics Agency aims to improve product availability and increase competition on a multitude of NSN items for the Nuclear Enterprise Support Office by introducing capable, small business suppliers through the Source Approval Request (SAR) process. Addition of approved sources for these critical/weapon system items can lead to reduced cost and decreased lead times. Expediting the procu ...
SBIR Phase I 2019 Department of DefenseDefense Logistics Agency -
Production and Source Approval for NSN 5305-01-661-8323 Shoulder Screw
SBC: MAINSTREAM ENGINEERING CORP Topic: DLA183010The Defense Logistics Agency aims to improve product availability and increase competition on a multitude of NSN items for the Nuclear Enterprise Support Office by introducing capable, small business suppliers through the Source Approval Request process. Addition of approved sources for these critical/weapon system items can lead to reduced cost and decreased lead times. Expediting the procurement ...
SBIR Phase I 2019 Department of DefenseDefense Logistics Agency -
Laser-Aided Automated Removal of Anti-Reflective Coatings From Germanium Substrates
SBC: ADA TECHNOLOGIES, INC. Topic: DLA183015High-purity germanium (Ge) is manufactured into infrared (IR) lenses for most DoD night sight IR optics, thermal imaging systems, and IR tracking systems in combat vehicles. A recent report by Umicore (ADA’s partner for this proposed project) identifies several current and future needs for Ge, showing growing needs in the middle of severe shortfall. These applications are essential for tracking ...
SBIR Phase I 2019 Department of DefenseDefense Logistics Agency -
LEDGEr-based Network for Document Distribution (LEDGENDD)
SBC: NIRA, Inc. Topic: DLA183017Leveraging a shared blockchain platform, the LEDGEr-based Network for Document Distribution (LEDGENDD) solution promotes effective document publication and sharing within the Defense Research, Development, Test and Evaluation (RDT&E) community. In addition to high availability and confidentiality, LEDGENDD enables easy document authentication and integrity verification, traceable document delivery ...
SBIR Phase I 2019 Department of DefenseDefense Logistics Agency -
Element Model Framework
SBC: INNOVATIVE DEFENSE TECHNOLOGIES, LLC Topic: MDA18009The Automated Interface Middleware Service (AIMS) solution solves the federation integration problem described by MDA/ABEA. AIMS is devised to be a flexible simulation architecture messaging middleware that enables distributed, modular development of models, so modules may be integrated without modifying the simulation’s underlying software. The framework will integrate multiple models located a ...
SBIR Phase I 2019 Department of DefenseMissile Defense Agency -
Advanced Data Management and Mining for BMDS Digital Simulations
SBC: NOU SYSTEMS INC Topic: MDA18011Sherlock provides a data mining solution that automates the discovery of correlations and causations between BMDS performance and critical factors within large amounts of missile defense simulation data. The future missile defense simulations will include digital simulations capable of generating orders of magnitude more data than can be handled by the current MDA Extract, Transform, and Load (ETL ...
SBIR Phase I 2019 Department of DefenseMissile Defense Agency -
Advanced Data Management and Mining for BMDS Digital Simulations
SBC: EDAPTIVE COMPUTING INC Topic: MDA18011The MDA relies on complex simulations to test and enhance capabilities of the ballistic missile defense system. This requires extensive simulation and analysis of results. As simulations become more advanced, they produce more data. It is essential to begin now to develop improved techniques to manage this increased data and make it more accessible for analysis. Simulation data must be analyzed to ...
SBIR Phase I 2019 Department of DefenseMissile Defense Agency -
Advanced Data Management and Mining for BMDS Digital Simulations
SBC: INNOVATIVE DEFENSE TECHNOLOGIES, LLC Topic: MDA18011Big data analysis is a critical component of product and process evaluation in the commercial sphere. The explosion of online advertising, social networks, and streaming media has led to the need for analysis techniques suited to generating insights from extremely large quantities of data. The object of this research project is to adapt data mining techniques, including machine learning, which hav ...
SBIR Phase I 2019 Department of DefenseMissile Defense Agency