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LAS VEGAS - Dot Ai (NASDAQ:DAIC), an IoT and AI-based SaaS company focused on asset intelligence technology, announced Wednesday a limited-production run of its ZiM Bridge device is now available for early orders ahead of general availability. The company, trading at $5.39 per share with a weak financial health score according to InvestingPro, has seen its stock decline over 50% year-to-date.
The ZiM (Zero Infrastructure Mesh) Bridge is a smartphone-sized device designed to automatically scan and track assets in environments such as warehouses and manufacturing plants, eliminating the need for manual inventory management tools like RFID hand-scanners.
According to the company’s press release, the device collects asset tag information continuously for real-time visibility and can be integrated with existing enterprise software solutions and Dot Ai’s AI-powered SaaS platform.
"Our ZiM Bridge marks a turning point for modern logistics," said Ed Nabrotzky, Dot Ai CEO. "With minimal infrastructure costs and plug-and-play simplicity, the ZiM Bridge gives operations teams what they’ve been asking for: reliable data, automated tracking, and AI-driven insights—without hardware headaches or manual effort."
The company is manufacturing the devices at its recently opened facility in Puerto Rico. Dot Ai stated it hopes to expand operations to meet global demand while supporting the island’s economic development. With current revenue of $290,000 and a gross profit margin of 40%, the company faces significant scaling challenges. InvestingPro analysis suggests the stock is currently overvalued relative to its Fair Value.
The ZiM Bridge is being offered on a first-come-first-serve basis for this initial production run, with general availability expected in the coming months. Customers can request demonstrations and pricing information through the company’s website.
Dot Ai completed its listing on the Nasdaq exchange earlier this year. The company claims its technology can help businesses increase revenue, improve customer experience, and reduce risk through AI-enhanced predictive analytics.
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