Exclusive interview with Andrew McInerney (CEO) and  Ebad Abid (Head of Product), Track24

Can you introduce your company to us? What does AtlasNXT do?

AtlasNXT, from TRACK24, is a duty-of-care location services and communication system. So, it enables a business to know where its people are and relate those people to the risks and other information they might face and then enables them to make decisions and communicate about to ensure the duty-of-care of their teams.

So, what inspired the founding of AtlasNXT and how does its mission differ from other duty-of-care and operational communication platforms?

TRACK24 was formed in 2004 as a location services company in high-risk environments, principally using satellite locations and satellite communication devices. And that remains one of our key differentiators, the ability to integrate satellite communications and satellite devices from any of the competitors. Since then, the world and the technology has moved on.

And in the last five years, we at TRACK24 have integrated lots of different, divergent bits of our software into AtlasNXT as a single software offering. And that provides those location services, not just to high-risk environments, but to GSM-capable and GPS-capable devices across any environment. So, where risk moves across place and time, then any business can use this, not just those ones in high risks as well.

So, it helps with travel risk management, it helps with precision communications to people, it reduces the amount of noise compared to the amount of signal that individuals get. So, precision information to the right people at the right time.

In your view, what is the biggest misconception organizations still have about modern duty-of-care technology?

We’ve come from a high-risk environment, from the most high-risk, and bring with us that sort of ethos of protection. Many organizations have come from a travel risk management environment, and therefore that tends to be diary predictions of where your diary says you’re going to be traveling that day, rather than precision location. And so, a lot of people bring with them the expectation that they get a generic travel risk management update, rather than something precise for their own movements, which changes as their own movements change.

So, the adaptability of a live tracking system enables that. The other key differentiator is the ability to maintain privacy. I’ve done that quick demonstration of the system.

So, the individual knows when they’re able to be seen by their operation, by their operators, by their employer, and when they’re not, so they can maintain their privacy. And they only lose their privacy through consent. They press a button on the app and say, track me, or check me, overwatch me, or I’m in a panic mode, or by event, and they go inside a geofence, which their employer has put up on the map.

It might be their location, it might be a risk environment, and even then, the app tells the individual that you’re now visible to your operator. So, I think it’s key, the privacy element, and the live tracking, rather than any predictive element. Ibad, any other ideas? Coming to the privacy part, AtlasNXT emphasizes privacy-first location-based communications.

How do you balance delivering critical information with user privacy concerns?

One of the challenges is, as you have said, is if you give the user the control, you won’t be able to actually support the user, because they’ll just switch it off. So, what we do is, we allow the system to share information, but we manage privacy through the visibility of the data that’s transferred, as opposed to switching it on and off, as most people do.

Because once you switch it off, the person’s MIA, and you can’t do anything to support them. They’re not going to get any notifications; we’re not going to know where they are. But if the system is always sharing, if their device is always sharing a location, or any form of notification with our system in the background, then we’re always able to reach them in the event something goes wrong.

The way we manage privacy is we essentially make them invisible, and they become visible by consent or event. So, one of the main things in data protection laws is legitimate interest. So, you should only ever have access to somebody’s information if you actually need it.

And so, you either give consent, that you can use my location data, or two, there’s a legitimate interest, such as they are in a potential area where there is a risk to them. And at that point, we can reveal that location, and therefore, we’re always in control.

AtlasNXT integrates geofencing, precision messaging, and real-time operational intelligence. And how do you see these capabilities evolving or utilizing AI?

Geofences themselves have evolved. First, they just used to be sort of a digital perimeter. And now, we then introduce smart geofences, which essentially allows you to track people coming in and out of that perimeter. What we also do is see what impacts that perimeter.

So, we have various intelligence feeds we integrate with, and you can see if a particular perimeter is impacted by that. Now, with AI, you can also then say, is that piece of intelligence relevant to the perimeter I’m monitoring? Again, when you’re integrating with data providers, you’re probably getting a few thousand events a day. As humans, we can’t consume that much information, or if we can, we can’t comprehend what it means.

And so, with the power of AI, we can summarize it and only give us, we can allow it to give us clarity. We can also get it to give us reports. So, it can do trend analysis.

Over X period of time, we’ve had X types of risk. And so, it can give us the ability to predict future risk as well. So, if there is, for example, a civil conflict near a particular geofence, you’ll find that there is X amount of panic alarms pressed in the vicinity or near it.

So, what AI will be able to do is allow us to forecast whether, you know, because of this event, we can expect this many people to be at risk. And so, it can send out early warnings automatically without anybody having to do so. The other thing I’d say on AI is there’s lots and lots of data, as Ibad said, lots and lots of information.

And from our engagement with our customers, they want to maintain a human in the decision loop. So, our approach to AI is that AI does the heavy lifting, but it only ever suggests to a human option it could take. And a human stays in command, makes the decisions.

So that you keep a human in the loop so that you’re not handing over life and death security to a machine. So, AI does the ground level work while a human is always overlooking it. Yeah, and it can come up with pattern recognition.

It can say, hey, we’re noticing this, do you want to, whatever. So, it’s a co-pilot, not a pilot. It’s also time efficiency, right? So, by the time a human has actually had the time to go through all the information and all of the people to find out whether something is impacting someone or something, right? AI can do it instantly, right? So, the more delay there is between supporting an individual, the higher chance there is of something going wrong. So, the earlier you can intervene, right, the safer you can keep your people. But a human always takes a call on whether to act or not. Whether to act or not, correct.

And how important was InterSec for you and this region, Middle East, for your company?

We’re headquartered in London with two subsidiary organizations in the Emirates and a country office in Iraq. The region is hugely important. It’s where we originated as a species and as a company. So, we started in 2004 in Baghdad. And we’ve always maintained a large presence in Iraq, Kurdistan and across the Middle East.

The world isn’t getting any easier. The world is not getting any less risky. The world is not getting any more certain. Risk is spreading and becoming quite unpredictable whether you’re the president of an independent nation or an independent nation that belongs to somebody else. Risk is coming to you around the globe.

Our services become more and more important and more relevant globally. The region of the Middle East is important because I think it’s a region that understands security in a very central way.

It was our first attendance at InterSec. We’re a software provider. From what I’ve seen so far, there’s lots of hardware providers.

And that means there’s lots of potential partners for us. We can integrate any of their systems into our system and make access control useful for decision support which is what we’re here to do. That’s all from my side.

Yango Tech, B2B technology solutions provider by Yango Group, launches a new business practice focused on developing and deploying autonomous industrial AI agents. These AI agents are designed to execute real operational tasks across customer service, analytics, compliance, and decision-making, serving industries such as fintech, medtech, e-commerce, logistics, smart cities, and the public sector. Yango Tech offers both ready-to-deploy solutions and a customizable platform for building AI agents tailored to the specific needs of each business. This new business direction addresses the rapidly growing demand across the Middle East for scalable AI systems that deliver measurable business impact, as the region accelerates toward a projected $320 billion AI economy by 2030.

AI Agents connect directly to enterprise applications and data sources, including CRM, HR and finance systems, allowing AI to act like digital employees with memory, execution capabilities and built-in security. For governments and enterprises building digital workforces and smart cities, Yango Tech deploys AI employees across customer support, sales, recruitment and debt recovery, delivering 95% first-contact resolution, faster hiring and up to $100K in monthly operational savings. Its Smart City stack enables digital twins, emergency navigation, mobility optimization and real-time urban analytics, helping municipalities accelerate decision-making, improve traffic flow, and reduce energy and operational costs through AI-powered city modelling and dispatch optimization.

In the medical world, Yango Tech reduces physician admin workloads through appointment transcription, smart search across electronic medical records, imaging analysis and AI and BI command centres. The solutions automate documentation, surface unified patient data in seconds, improve diagnostic accuracy and enable clinicians to treat more patients. In financial services, AI functions support front-, middle- and back-office transformation through AI-powered chatbots, smart search, credit scoring, anti-fraud analytics and workflow automation.

Commenting on the launch, Vladimir Razuvaev, Chief Executive at Yango Tech, said: “Enterprises today are under pressure to turn AI into practical outcomes. Our AI Agents were built to help organizations deploy autonomous digital employees that integrate securely into existing systems and deliver measurable productivity gains. With around 84% of GCC organisations adopting AI, the opportunity now lies in execution. Our vision is to help healthcare providers, banks, private firms and cities scale AI responsibly while strengthening performance, transparency and service quality.”

The launch reinforces Yango Tech’s alignment with the UAE’s national innovation agenda and broader regional ambitions for AI-led economic growth, smart infrastructure and digital government. By enabling sovereign deployments, local data control and enterprise-grade security, the platform supports the UAE’s vision for future-ready public services and knowledge-driven economies while helping organizations move faster from strategy to implementation.

TO LEAD FROM DUBAI

QBurst, a design-led digital engineering company powered by High AI-Q™, has appointed Shivkumar Subramaniam as Regional Head, Middle East, based in Dubai, UAE.  The appointment underscores QBurst’s strategic commitment to building a locally-rooted presence in the Middle East and strengthening its ability to serve enterprises and governments across the region.  

The Middle East represents one of the most significant growth opportunities in the global technology services market. According to Deloitte & MBZUAI, State of AI in the Middle East 2025 report, over 80% of organizations in the region feel intense pressure to adopt AI, yet nearly half lack the talent and technology capabilities to scale it successfully, and a third report no returns from their AI initiatives. Closing that gap between AI adoption and AI value is the opportunity QBurst is positioned to capture.

Shivkumar is a global technology business leader with over three decades of experience building and scaling digital and technology services businesses across the Middle East, Asia Pacific, and India. He has led multi-country P&L portfolios and driven large-scale digital transformation initiatives for enterprises and governments across industries.

“The velocity of digital and AI transformation in the Middle East is remarkable. What’s truly compelling is the complexity and scale of the projects being undertaken—from smart governments to intelligent enterprises. This is where QBurst provides a decisive advantage, bringing a world-class engineering pedigree and practical AI experience. Our main focus is on embedding QBurst into the fabric of the region’s innovation ecosystem, building a team that co-creates solutions and ensures we are the trusted, long-term partner for our clients’ success,” said Shivkumar Subramaniam, Regional Head, Middle East, QBurst.  

QBurst CEO Arun ‘Rak’ Ramchandran added, “The Middle East is a strategic market for us with long-term growth potential. Governments across the region – from the UAE’s AI Strategy to Saudi Arabia’s Vision 2030 – are building the foundation for an AI-driven future, and that is creating demand for partners who can genuinely deliver at scale. Building an on-ground team despite the ongoing geopolitical developments is our clearest statement of commitment and conviction in the region. Shivkumar brings proven depth of regional experience and leadership QBurst needs, to accelerate that growth and support our clients in building intelligent, future-ready digital platforms.”

Before joining QBurst, Shivkumar held senior leadership roles at Siemens, Satyam Computer Services, Mindtree, and Larsen & Toubro Infotech, where he helped expand regional technology businesses and led large digital transformation programs for clients across the Middle East and Asia Pacific.

A year since Multiples Alternate Asset Management, India’s leading alternate asset management firm, acquired a controlling stake in QBurst in a ~USD 200 million transaction, the company has moved decisively to scale its international footprint, strengthen its leadership team and bolster its offerings. The Middle East expansion marks one of the most significant steps in that growth journey, with QBurst bringing deep experience in delivering AI-driven solutions across Realty, Hospitality, Retail, Manufacturing, and Healthcare – industries that sit at the heart of the region’s economy.