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Dubai Robot Maker To Triple Workforce And Build New Plant
Micropolis is preparing for a $37 million New York Stock Exchange listing that will help the company deliver 350+ robots a year.
Micropolis, a Dubai-based manufacturer specializing in autonomous mobile robots, plans to construct a new production plant and triple its workforce using cash from an upcoming New York Stock Exchange listing.
Once operational in Dubai Production City, the Micropolis factory plans to produce one robot a day to meet a growing customer demand.

Micropolis currently produces two autonomous robots: a golf cart-sized machine known as the M1 and a smaller M2 model which both use the same platform that combines autonomy and advanced AI features.
In 2018, Dubai’s police department became interested in the technology being developed by Micropolis and commissioned an autonomous mobile robot (AMR) featuring AI to help survey areas and improve crime prevention.

“We have software developed in-house called Microspot, equipped with five AI engines – facial recognition, behavior analysis, ANPR [automatic number-plate recognition], criminal logic, and suspect matrix. It makes the robot drive like a patrol car and think like a police officer. It reports suspicious activity, and Dubai Police can scan and keep an eye on communities 24 hours a day,” explained Fareed Aljawhari, Micropolis founder and CEO.
A smaller version of the robot will be trialed in April 2024 before being introduced to more areas later in the year.
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Micropolis robots have also shown potential in the oil and gas industries for pipe surveillance and can also be used to collect and sort garbage. Meanwhile, Neom, Saudi Arabia’s futuristic mega city, is interested in using similar security robots to one developed for Dubai Police.
Since 2018, Micropolis has raised over $8 million in funds from overseas investors and is expected to raise another $37 million from an imminent New York Stock Exchange listing.
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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
