News

Abu Dhabi’s Robot Kitchen Is Serving Up Biryani, Not Burgers

Circus SE wants to put a tiny automated factory inside the buildings where Gulf residents live and work, bypassing part of last-mile delivery.

Published

3 weeks ago

October 20, 2026

Nour Nasir

abu dhabi's robot kitchen is serving up biryani not burgers

Circus SE

The most telling thing about a new autonomous kitchen now running in Abu Dhabi’s Marina Square is what it won’t cook:

“We don’t do fast food,” says Nikolas Bullwinkel, Founder and CEO of Circus SE. “We’ve actively decided not to build a machine that can only do burgers”.

Instead, the CA-1 system is built around pot-based cooking: curries, pastas, soups and rice dishes. After experimenting with highly personalized recipes, Circus deliberately leaned back toward recognizable food. “We’re going with a chicken biryani because you know it,” Bullwinkel says of the AED 40 dish.

circus se ca-1 robot system

The Germany-based robotics and food technology company operates across eight countries, and Abu Dhabi is its first deployment outside Europe. More locations are expected there and in Dubai.

In Germany, its units can be placed in supermarkets, gas stations, airports and hospitals. In the Gulf, Bullwinkel wants them inside residential and office buildings, replacing some of the complexity of last-mile delivery. “We’re basically bringing a very tiny factory a few square meters into your building,” he says. Catering company Royal Prestige supplies the ingredients and knowledge of local tastes.

The CA-1 manages up to 36 refrigerated ingredient silos alongside automated induction cooking, robotic plating and a self-cleaning dishwasher. Two robotic arms move ingredients through the system with minimal human intervention. It can produce up to 120 hot meals an hour, and a meal such as rice and curry can take around three to four minutes.

Also Read: Ooredoo Qatar’s 5G+ Network Is Built For Machines As Much As People

Five cameras and multiple sensors monitor heat, temperature and consistency, an attempt to approximate what a chef perceives. “You can hear something gets burned, you can smell it, you can see it at some point,” Bullwinkel says. CircusOS, the company’s operating system, adjusts recipes in real time.

You might think of the platform as a threat to kitchen staff, but Bullwinkel frames Circus as a way for chefs to develop recipes and distribute them at scale. With that being said, rising labor costs and shortages are also part of his case for automation.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.