U.S. Army Awards $15.3M Contract to Quantum-Systems for Vector AI Drones
Quantum-Systems Inc. announced in a press release that its Vector AI small uncrewed aircraft system (sUAS) has been selected for the U.S. Army's Company-Level sUAS Directed Requirement 2 initiative under a $15.3 million contract. The agreement aims to accelerate the delivery of advanced aerial intelligence capabilities to Brigade Combat Teams.
The Vector AI system provides AI-enabled reconnaissance, surveillance, and targeting functions designed for dynamic operational environments. It includes anti-jamming technology and a multi-layered GPS-denied navigation stack that allows for visual navigation and precision targeting independent of GPS.
Built with a modular, open architecture, Vector AI supports rapid payload integration and interoperability with battlefield management systems such as TAK and Lattice. The selection reflects the Army’s effort to field operationally proven, commercially available systems that can be adapted to evolving tactical requirements.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Defense AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 16 Matters Raises $5 Million to Build AI Consumer Bank Oct 16 KP Labs raises €4.42 million for AI data processing in orbit Oct 15 Origin Raises $20 Million for Autonomous Construction Robots Oct 15 Symbe Raises $5.7 Million for AI Sales Platform Oct 15 Cohere Agrees to Acquire AI Security Startup AISLEMore from Defense
Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater Vehicle Oct 15 Bridge Defense Wins Software Agreement With Up to $63 Million in Initial Capacity Oct 15 Ukrainian Drones Hit Sberbank Data Center Planned for Supercomputer Oct 15 US Air Force Extends Use of PTC Servigistics Oct 15 Ukrainian Strikes Disrupt Yandex Services Across Central AsiaAI Funding Brief
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
ASI Wins $99 Million US Army Command and Control Contract
CGI Federal, DLA and University of Tennessee Study AI and Quantum Logistics
DoD Solution Raises $2.1 Million for Autonomous Drone AI
Havoc Wins U.S. Army Contract for Autonomous Resupply Software
K1000ULE Gains Award Ready Status on Army Autonomy Marketplace
Daily AI Brief: the AI news that matters, in your inbox.