Ithina Launches Global AI Platform for Industrial and Retail Operations

Mar 4, 2026
Ithina Holdings has launched a global AI operating platform connecting over 50 million endpoints across retail, manufacturing, and warehouse environments. The platform integrates sensing, decision-making, execution, and learning through real-time AI to optimize physical operations.

Ithina Holdings has launched a global AI operating platform for physical commerce and industrial operations, announced in a press release. The company reported surpassing 50 million connected endpoints across retail, manufacturing, and warehouse environments worldwide.

The platform operates as a closed loop across four integrated layers—Sense, Decide, Execute, and Learn—enabling continuous optimization and control of physical operations through real-time AI decision-making.

Backed by investors including Kline Hill Partners, Probot Ventures, and Zebra Technologies Corporation, Ithina has also completed the acquisitions of Displaydata, Agile Displays, and Altierre to form its global AI network.

According to the company, the platform connects millions of edge devices to deliver real-time insights and automation across enterprise systems, supporting large-scale industrial and retail environments.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Industrial AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Industrial AI Weekly

The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.

AI Token Webinar

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 more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.