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Award Data
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.
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Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA NSNs
SBC: NDI ENGINEERING COMPANY Topic: DLA171002A technical data package and Source Approval Request (SAR) will be developed for the manufacturing of the MK 2 Nose Gear Launch Shaft Assembly, NAVAIR part number 511224-1; Shaft, Shouldered, NSN 3040-00-224-9019. The successful SAR submission and approval will result in an additional approved source of supply for DLA for the MK 2 Nose Gear Launch Shaft Assembly, NAVAIR part number 511224-1; Shaf ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA NSNs
SBC: NDI ENGINEERING COMPANY Topic: DLA171002A technical data package and Source Approval Request (SAR) will be developed for the manufacturing of the MK7 Arresting Gear Sheave Assembly, NAVAIR part number 517789-7; Pulley, Groove, NSN 3020-01-560-8493. The successful SAR submission and approval will result in an additional approved source of supply for DLA for the MK7 Arresting Gear Sheave Assembly, NAVAIR part number 517789-7; Pulley, Gro ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA NSNs (TIE ROD)
SBC: Brighton Cromwell, LLC Topic: DLA171002This proposal introduces an approach from Brighton Cromwell to Improve product availability and increase competition through the development of Small Business eligible manufacturing utilizing the DLAs Land and Maritime (L&M) Limited Source National Stock Number (NSN) List. The list contains NSNs with an Annual Demand Value (ADV) >$10K currently sourced with only 1-2 manufacturers. We are offering ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA NSNs (KITS)
SBC: Brighton Cromwell, LLC Topic: DLA171002This proposal introduces an approach from Brighton Cromwell to Improve product availability and increase competition through the development of Small Business eligible manufacturing utilizing the DLAs Land and Maritime (L&M) Limited Source National Stock Number (NSN) List. The list contains NSNs with an Annual Demand Value (ADV) >$10K currently sourced with only 1-2 manufacturers. We are offering ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA NSNs (RELAYS)
SBC: Brighton Cromwell, LLC Topic: DLA171002This proposal introduces an approach from Brighton Cromwell to Improve product availability and increase competition through the development of Small Business eligible manufacturing utilizing the DLAs Land and Maritime (L&M) Limited Source National Stock Number (NSN) List. The list contains NSNs with an Annual Demand Value (ADV) >$10K currently sourced with only 1-2 manufacturers. We are offering ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA NSNs (FIRE SENSOR)
SBC: Brighton Cromwell, LLC Topic: DLA171002This proposal introduces an approach from Brighton Cromwell to Improve product availability and increase competition through the development of Small Business eligible manufacturing utilizing the DLAs Land and Maritime (L&M) Limited Source National Stock Number (NSN) List. The list contains NSNs with an Annual Demand Value (ADV) >$10K currently sourced with only 1-2 manufacturers. We are offering ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Additive Manufacturing Process Monitoring and Control Technologies
SBC: Made In Space, Inc. Topic: DLA181002Made In Space, Inc. (MIS) and Siemens PLM Software propose an integrated Automated Processing. Monitoring, Control and Remediation System (Aul) to provide a process monitoring and control capability. Made In Space, Inc. leads the effort based on integrating Made In Space, Inc., proven inspection sensors systems with a Digital Thread for Additive Manufacturing (DTAM) system, co-developed by Siemens ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Increase Competition through Small Business Source Approval Request (SAR) for DLA Nuclear Enterprise Support Office (NESO) NSN: 1095-00-488-0829
SBC: Brighton Cromwell, LLC Topic: DLA181006This proposal introduces an approach from Brighton Cromwell to improve product availability and increase competition through the development of Small Business eligible manufacturing utilizing the DLAs Land and Maritime (L&M) Limited Source National Stock Number (NSN) List. The list contains NSNs with an Annual Demand Value (ADV) >$10K currently sourced with only 1-2 manufacturers. We are offering ...
SBIR Phase I 2018 Department of DefenseDefense Logistics Agency -
Asynchronous Multi-transmitter Multi-aperture Synthetic 3D Imaging System
SBC: VOXTEL, INC. Topic: NGA183001Traditional active 3D imaging systems, such as airborne and terrestrial lidar scanners, use a transmitter and receiver typically co-located on the same platform and connected in synchronous communications. However, recent advances in laser, detector, and airborne systems technology have opened the door to smaller, higher-performance and significantly lower-cost airborne lidar systems in which it i ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency -
Collaborative Recommender System for Spatio-Temporal Intelligence Documents
SBC: RAJI BASKARAN LLC Topic: NGA191005NLP pipelines available today are getting robust for general language modeling purposes. But domain-specific data, abbreviations and lingos, and text about time or space still need a lot of tuning and training that are well beyond application of standard tool sets. Deep learning for recommendation engines is quite new, and all recommender systems, in particular for specially trained users, tend to ...
SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency