Ati Motors Rebrands as Ati Robotics with New AI Focused Platform
Ati Robotics has changed its name from Ati Motors, reflecting its broader focus on AI based material orchestration systems for manufacturing and warehouse operations, announced in a press release. The company said the rebrand aligns with its growth into a provider of integrated automation solutions that combine autonomous robotics, real time tracking, and AI agents.
Ati Robotics now operates under the domain atirobotics.ai, underscoring the role of AI in its platform. The company serves more than 70 enterprise customers and has managed over two million autonomous missions with a 99 percent success rate. Its offerings include four solution families: Tugging, Pallet Handling, Lifting and Handling, and a Material Orchestration Software system.
According to the company, existing contracts, deployments, and product names remain unchanged following the rebrand. The new name is intended to more accurately represent its integrated approach to automation across global manufacturing facilities.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief, Industrial AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Sep 23 Robot.com and Grubhub Expand Robot Delivery to 10 Campuses Sep 23 Light Origins Launches Light-O1 Model for Robot Tasks Sep 23 XPRIZE Awards $4.55 Million for Wildfire Detection and Response Systems Sep 23 Healthcare Triangle Pursues Up to $30 Million Roboticom Asset Deal Sep 23 CRRC Unveils AI Metro Train and Hydrogen LocomotiveRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
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
Aitan Raises $41 Million for Robotic Defense Systems
Atlantic Launches Activated Intelligence Division for Business AI
aiMotive Launches Data Recording Systems for Automated Driving
Caterpillar Expands AI Use From Mining Automation to Field Service
RelativityOne Becomes Relativity aiR
Daily AI Brief: the AI news that matters, in your inbox.