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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: Made In Space, Inc. Topic: DLA181002
Made 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
SBC: SENVOL LLC Topic: DLA18A001
The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...STTR Phase I 2018 Department of DefenseDefense Logistics Agency
SBC: VOXTEL, INC. Topic: NGA183001
Traditional 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
SBC: DIGNITAS TECHNOLOGIES, LLC Topic: NGA183002
Newer 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
SBC: SEED INNOVATIONS, LLC Topic: NGA181003
Seed 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
SBC: RAJI BASKARAN LLC Topic: NGA191005
NLP 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
SBC: NUMERICA CORPORATION Topic: NGA191005
US 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
SBC: MAINSTREAM ENGINEERING CORP Topic: DLA172002
Increased 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
SBC: KITWARE INC Topic: NGA183002
An important application for geospatial 3D models is fast transmission and rendering for disadvantaged users who have only a web browser and a limited bandwidth connection. Point cloud models commonly used within the NGA are too large for efficient transmission and rendering. Kitware’s new research on the IARPA CORE3D program has demonstrated procedural building models from point clouds for more ...SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
Increase Competition through Small Business Source Approval Request (SAR) for DLA Nuclear Enterprise Support Office (NESO) NSN: 1095-00-488-0829SBC: Brighton Cromwell, LLC Topic: DLA181006
This 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