Revolutionizing Mobile, Secure, AI-Driven Data Solutions from Edge to Back Office with BRYCK AI

Date: 02/19/2025

Vendor: TSecond / Tysons Advisory

Technology/Topic: Revolutionizing Mobile, Secure, AI-Driven Data Solutions from Edge to Back Office with BRYCK AI

URL: https://tsecond.us; htt ps://www.tysonsadvisory.com

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Welcome to the Technical Exchange Meeting (TEM)!

Bryck is an industry leading and the only device with both storage and AI inference on a single device. It is manufactured in California by TSecond Inc. Tysons Advisory is the preferred GTM Advisor and Distributor for the federal sector.

In mission critical field operations, large amounts of data (images, text, videos) is captured. To make critical decisions, the data needs to be processed real time. Speed and Accuracy can be critical to survival and success of the mission. This is exactly where BRYCK AI, a low SWaP (size, weight and power) platform providing the ultimate fastest, reliable and secure air-gapped AI-on-the-edge solution and data services, fits!

Tysons Advisory, LLC and TSecond Inc. have partnered to bring this solution to DoD to provide critical real time decision making with AI-on-the-edge to augment satellite imagery to act upon real time data on the mission and in support centers to provide exceptional operational impact at scale. Bryck AI can be used by soldiers for live situation analysis on the go, in armored vehicles and tanks to provide real time navigation and situational awareness, and on a missile to augment heat seeking sensors with vision sensors to ensure mission hits target to defeat countermeasures. With the addition of AI capabilities to mobile assets, the use cases described above would make DoD undefeatable, providing tremendous impact at scale, saving lives and keeping America secure.

Bryck AI features high capacity (64 TB to 1 PB), low SWaP (1 lb – 14 lb, 240 – 800 watts), transmission speed of 200 gbps for storage and AI inference on a single device. Whereas other products powered by leading hyper scalars e.g., AWS, Azure, GCP or NetApp and Seagate require separate devices for storage and inference, cloud for AI inference or storage and/or clustering of disks to create larger capacity thereby making it bulky and slow.

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Disclaimer:

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