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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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Cost and Lead Time Reduction for Hard to Source Items
SBC: MAINSTREAM ENGINEERING CORP Topic: DLA172002Increased competition and improved lead times are desired by the Defense Logistics Agency (DLA) for Land and Maritime Hard to Source Items (HSIs). Three National Stock Number (NSN) / part number (PN) combinations were identified with annual demand values over $10,000 with fewer than two approved sources.Mainstream Engineering has carefully reviewed the NSN/PN combinations provided in the solicitat ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Source Approval for B-52 Wing to Fairing Seal
SBC: MAINSTREAM ENGINEERING CORP Topic: DLA181007Increased competition and improved lead times are desired by the Defense Logistics Agency (DLA) for a number of NESO items with annual demand values over $10,000 and fewer than two approved sources. Mainstream Engineerings unique integration of engineering, manufacturing, quality control, and integrated logistics support (ILS) provides the government with the best value for the proposed NSN.The B- ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Reverse Engineering of MILSTAR Battery Pack
SBC: MAINSTREAM ENGINEERING CORP Topic: DLA182003Increased competition and improved lead times are desired by the Defense Logistics Agency (DLA) for the MILSTAR system battery assembly. Mainstream Engineerings unique integration of engineering, manufacturing, quality control, and integrated logistics support (ILS) provides the government with the best value for the proposed NSN.The MILSTAR nickel-metal hydride battery pack lacks sufficient comme ...
SBIR Phase I 2018 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 -
Boost- A System to Suppress False Alarms from Automated Target Recognizers
SBC: SEED INNOVATIONS, LLC Topic: NGA181003Seed Innovations and subcontractor BIT Systems, a division of CACI International, apply our experience in machine learning, data analytics andimage processing to accomplish the research for the SBIR topic: Suppression of false alarms in Automated Target Recognizers (ATR) that useMachine Learning. With the amount of available imagery data increasing and adversaries vehicles and tactics becoming mor ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Automating Procedural Modeling of Buildings from Point Cloud Data
SBC: DIGNITAS TECHNOLOGIES, LLC Topic: NGA183002Newer techniques in data collection such as Lidar and photogrammetry can provide large quantities of accurate and up-to-date source data models in operational areas, but transforming this often massive amount of raw source data into a lightweight 3D representation that can be quickly consumed by defense customers using a web browser or mobile devices remains a challenging problem. While point clou ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Multi-hop processing for OTHR range extension
SBC: DECIBEL RESEARCH, INC. Topic: NGA191011The development of sophisticated anti-access/area denial (A2/AD) capabilities by our adversaries requires us to develop long range capabilities to mitigate this A2/AD threat. Extending the range of Over The Horizon Radars beyond their conventional single hop operating mode will potentially provide coverage out to 10000 km and beyond. We propose combining existing state-of-the art HF radar ray prop ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Collaborative Recommender System for Spatio-Temporal Intelligence Documents
SBC: NUMERICA CORPORATION Topic: NGA191005US military and intelligence agencies have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. Thus, there is an important need for recommender system technology that pushes relevant un-queried data to analysts through automation and machine learning technique ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency