Current News
2021 HIRE Vets Medallion Awarded
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Congratulations!
Your company, Compendium Federal Technology, LLC, has been officially awarded the 2021 Platinum HIRE Vets Medallion Award! |
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From HireVets.gov
|
Congratulations!
Your company, Compendium Federal Technology, LLC, has been officially awarded the 2021 Platinum HIRE Vets Medallion Award! As an award recipient, a congratulatory letter and award certificate, signed by the Secretary of Labor, was mailed to the address provided in your application on November 3rd. You now have access to digital images of the medallion for use in advertisements, solicitations, business activities, or products. Your account holder can download the medallion image from the Dashboard page of the HIRE Vets Medallion Award application system. Please see the HIRE Vets Medallion Program final rule at 20 CFR § 1011.500 (via HIREVets.gov/resources) for information about restrictions on displaying your Medallion Award. You are also on the map at HIREVets.gov/Awardees, so please ensure you update your account with your desired website address. Please feel free to contact the Program Office at HIREVets@dol.gov for any questions you may have. Thank you again for your commitment to employ, retain, and support veterans! |
Past Articles
Compendium Federal Technology, LLC Announces Phase 1 SBIR Contract Award From the US Department of the Navy
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Contract Will Support Development of Artificial Intelligence and Deep Neural Network Solutions for Predictive Maintenance Purposes
Lexington Park, Maryland
July 24, 2020
Compendium Federal Technology, LLC (CFT), a Department of Defense engineering and technology company, announces the award of a Phase I contract under the Small Business Innovation Research (SBIR) program of the US Department of the Navy. CFT's effort (Navy SBIR 2020.4 - Topic N204-A01) is with regard to Naval Depot Modernization and Sustainment, specifically in the Focus Area: Autonomous 3D Precision Scanning (Autonomy, Artificial Intelligence / Machine Learning).
This research will provide the ability to autonomously scan large platforms (e.g., ships, aircraft, and ground vehicles) with great precision. These scans can locate structural anomalies and support creation of digital twins. This proposal addresses the use of Artificial Intelligence (AI) with Deep Neural Networks (DNNs) hosted on portable devices. Commercial-off-the-shelf (COTS) products can be integrated to acquire data, and deploy applications for detection, classification and inferencing, which inspect platforms using real-time video and still images. The miniaturization of microcomputers and Graphics Processing Units (GPUs) has enabled the deployment of low-cost systems that collect data at very high rates and host intelligent applications which detect and classify objects. Infrastructure Inspection will be the focus of federal, state and local government investment in the coming decade. The development of state-of-the-art GPUs is being accelerated by automation of manufacturing and logistics systems using robotics as well as the introduction of self-driving cars. These systems require the fusion of multiple sensor streams which collect data and make decisions in real-time. There are several emerging technologies that can be leveraged to yield increases in productivity and achieve significant reductions in maintenance hours by automating inspection procedures using real-time AI combined with smart inspection devices.
Rex Eagan, CEO of CFT commented, "We are ecstatic for this SBIR contract pertaining to deep neural networks and machine learning for autonomous scans and inspections. Here at CFT, we have a tremendously innovative technical team. This effort affords our team the opportunity to make advancements in the field of predictive maintenance using artificial intelligence."
Lexington Park, Maryland
July 24, 2020
Compendium Federal Technology, LLC (CFT), a Department of Defense engineering and technology company, announces the award of a Phase I contract under the Small Business Innovation Research (SBIR) program of the US Department of the Navy. CFT's effort (Navy SBIR 2020.4 - Topic N204-A01) is with regard to Naval Depot Modernization and Sustainment, specifically in the Focus Area: Autonomous 3D Precision Scanning (Autonomy, Artificial Intelligence / Machine Learning).
This research will provide the ability to autonomously scan large platforms (e.g., ships, aircraft, and ground vehicles) with great precision. These scans can locate structural anomalies and support creation of digital twins. This proposal addresses the use of Artificial Intelligence (AI) with Deep Neural Networks (DNNs) hosted on portable devices. Commercial-off-the-shelf (COTS) products can be integrated to acquire data, and deploy applications for detection, classification and inferencing, which inspect platforms using real-time video and still images. The miniaturization of microcomputers and Graphics Processing Units (GPUs) has enabled the deployment of low-cost systems that collect data at very high rates and host intelligent applications which detect and classify objects. Infrastructure Inspection will be the focus of federal, state and local government investment in the coming decade. The development of state-of-the-art GPUs is being accelerated by automation of manufacturing and logistics systems using robotics as well as the introduction of self-driving cars. These systems require the fusion of multiple sensor streams which collect data and make decisions in real-time. There are several emerging technologies that can be leveraged to yield increases in productivity and achieve significant reductions in maintenance hours by automating inspection procedures using real-time AI combined with smart inspection devices.
Rex Eagan, CEO of CFT commented, "We are ecstatic for this SBIR contract pertaining to deep neural networks and machine learning for autonomous scans and inspections. Here at CFT, we have a tremendously innovative technical team. This effort affords our team the opportunity to make advancements in the field of predictive maintenance using artificial intelligence."
Compendium Federal Technology, LLC Recognized by Channel 9 News for Charitable Efforts in Providing Covid 19 PPE to Area Hospitals
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CFT's charitable efforts in manufacturing and providing personal protective equipment (PPE) to area hospitals and health care facilities were showcased by Channel 9 News.
CFT's expert Additive Manufacturing Division used its 3D printing technology to make hundreds of much-needed protective face-shields and attachments for MedStar St. Mary’s Hospital’s healthcare professionals as well as the Charlotte Hall Veterans Affairs facility's professionals on the front lines of the Corona-virus pandemic.
CFT's expert Additive Manufacturing Division used its 3D printing technology to make hundreds of much-needed protective face-shields and attachments for MedStar St. Mary’s Hospital’s healthcare professionals as well as the Charlotte Hall Veterans Affairs facility's professionals on the front lines of the Corona-virus pandemic.
COVID19 Face-SHIELDS
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CFT printed 140 protective face-shields and adding associated attachments to complete the face shields.
Hellfire missile donated by CFT to the Patuxent River Naval Air Museum
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Using 3D printing technology, CFT designed and printed a Hellfire missile replica. The missile is currently on display at the Patuxent River Naval Air Museum.
