TELEMATICS TALKS - EPISODE 7 Guest: David Brazell, Head of Strategic Partnerships, LightMetrics Host: Natalia Antipova, Partnerships Team, Navixy Topic: AI Video Telematics ROI in EMEA — Edge AI, Data Costs & Fleet Safety ═══════════════════════════════════════════════════════════════════════════════ Natalia: Hello everyone, and welcome back to Telematics Talks. I'm Natalia from the Partnerships team at Navixy. Today's episode is special because we're talking about one of the hottest topics in fleet technology right now: AI-powered video telematics. As many of you know, at Navixy we recently added the LightMetrics RideView solution to our Marketplace, giving our partners an easy way to bring video intelligence to their fleets. I'm excited to explore what this really means for telematics service providers in the EMEA region. Joining me today is David Brazell, Head of Strategic Partnerships at LightMetrics. David spends most of his time working with TSPs and fleets across Europe, the Middle East, and Africa — markets that couldn't be more different when it comes to road safety, regulation, and business priorities. In this conversation, we'll dive into questions like: what really drives ROI for fleets in the Gulf? Why edge AI matters when data costs and coverage are a concern. How to roll out cameras without feeling like "Big Brother" is watching. And what it takes for TSPs to win with video telematics in this part of the world. David, it's a pleasure to have you here. Thank you for joining our podcast today. To kick things off: what brought you to LightMetrics? What really excites you about working with partners across this region? ─────────────────────────────────────────────────────────────────────────────── David: First of all, thank you so much, Natalia. It's very nice to be here — and thank you to Navixy for giving us this opportunity. I'm proud to represent LightMetrics in an event like this. It's a great question to start with. I won't give my whole history because it would take too long — probably the whole podcast. I first got engaged with telematics back in 2011. What really hooked me from the beginning was taking data, turning it into insights, and creating real impact on businesses. Fast forward to 2018: I was introduced to video telematics as an extra layer on top. You know the saying — an image says more than a thousand words — and I saw the impact that can have. I started in the video space with another company and then joined LightMetrics in early 2023, continuing that journey. I've been passionate about it ever since. What really drives me — and what excites me about working with partners — is the impact. Roughly 1.3 million people die in road accidents every year worldwide. Put it into context: every 24 seconds, someone is killed in a road accident. What we do is help partners around the world use this technology to reduce risk on the road and save lives — so drivers can get home safely to their families. For me, there's nothing more motivating than that. And yes, there are also collateral benefits from using this technology — we'll talk about them today — but that core mission is universal across every region: reducing risk and saving lives. ─────────────────────────────────────────────────────────────────────────────── Natalia: That really resonates. Road safety is not only a business issue — it affects real people, families, and communities. It's something we should all care about from a human point of view. Let's zoom out for a moment. Road safety and fleet challenges look very different across regions. In the Middle East, for example, regulations can be very strict. Some countries have high accident rates. In other places, incentives for fleets might be driven by insurers or service providers. When you look at LightMetrics' footprint in EMEA, where do you see the strongest demand today — and why? Is it in high-risk markets where safety intervention is urgent? Or in Gulf states where regulatory compliance and insurance structures make ROI clearer? ─────────────────────────────────────────────────────────────────────────────── David: Great question — and it's not an either-or answer. LightMetrics has a global presence, across six continents. I'm based in Spain and I cover Europe, the Middle East, and Africa — and these regions are in very different stages, especially from a road safety perspective. But there's always a "driver" behind adoption. In the European Union, for example, when I started talking about video in 2018, people thought it was crazy: "We have GDPR, privacy concerns — how would that work?" But then in 2022, the EU introduced a major regulation: the General Safety Regulation. It requires safety measures in all new cars — things like distraction and drowsiness detection. What that created was a big aftermarket opportunity. Fleets have mixed vehicle ages — the average age of vehicles in the EU is about 12 years. Drivers get used to safety features in newer vehicles (like forward collision warnings), and when they switch into older vehicles without that technology, the difference shows up in driver behavior and scoring. That creates demand from enterprise fleets, especially those operating globally. In Africa, the driver is often more security than safety. It's about having extra eyes, because drivers can face real threats on the road — even assaults — and fleets need evidence and visibility. In the Middle East, the UAE is leading the pack. The UAE has regulatory measures encouraging safety technology. Authorities like the RTA are implementing safety tech, and public buses are often one of the first use cases globally — because you're carrying people, and the brand on the vehicle matters too. So yes — where regulation exists, adoption accelerates because fleets must comply. In high-accident regions without regulatory measures, adoption is slower and often starts with "video telematics 1.0" — basic dashcams for exoneration and evidence after incidents. In places like the UAE and the EU, we move toward a proactive approach: AI detecting risky behavior in-cab and helping fleets act in the moment. And the US is a different model again — more insurance and litigation-driven, with nuclear verdicts. In the EU and Middle East, there are often liability caps, so the approach is more regulatory-driven. ─────────────────────────────────────────────────────────────────────────────── Natalia: That makes a lot of sense. In Dubai we've seen how deeply authorities are involved — public transport, taxis, many vehicles already have video systems, and it's managed strongly from the government side. If we talk about LightMetrics today: have you prioritized any region? I understand every market has different requirements, but can you share where you see the priority focus right now? ─────────────────────────────────────────────────────────────────────────────── David: This may sound cliché, but we're excited because demand is growing everywhere. We're a 100% software company, and software scales. We're also hardware-agnostic — we work with multiple camera partners. Importantly, we don't sell directly to end customers; we work through TSPs and partners, like Navixy and your ecosystem. So the "priority" is driven by partner demand. Where partners are seeing pull from the market, we focus on enabling them and making deployment simple. That said, within my region, the strongest demand right now is in Africa — specifically South Africa. Regulatory measures are coming in, and the market is shifting from pure exoneration toward safety. In Europe, demand is strong due to the EU safety regulation and global enterprises expanding deployments. Within Europe, the UK is a major driver — more insurance-driven, similar to North America. In the Middle East, the UAE is leading. But we're also seeing strong interest from Oman and Saudi Arabia — especially from conversations at events like GITEX. To summarize: EU and Middle East are more safety-driven; parts of Africa are more security-driven — though it's evolving. ─────────────────────────────────────────────────────────────────────────────── Natalia: Great. Now let's zoom in on the Gulf. In the US, dashcams are often justified through liability savings and avoiding massive nuclear verdicts. But in the Gulf, liability can be capped and compensation more standardized — ROI is defined differently. Fleets focus on avoiding fines and impounds, protecting no-claim discounts, reducing downtime from slow claims cycles, and improving fuel and maintenance efficiency. The challenge is showing that video telematics isn't just a cost — it's a tool that pays for itself quickly. So when a fleet owner in Dubai or Riyadh asks, "Is it really worth it?" — how do you frame ROI? ─────────────────────────────────────────────────────────────────────────────── David: That's the million-dollar question. The direct answer is: yes, there is an ROI. The examples you mentioned — insurance, fines, downtime — are consequences of improving safety and operations. The value we bring, especially when integrated into a platform like Navixy, is enabling fleets to take a more proactive approach to risk reduction. That translates into fewer incidents, less downtime, and a stronger business case. A clear example is mining. Many people focus on distractions like phone use or seatbelts — important, yes — but in mining, the number-one risk driver is often drowsiness. Drivers don't choose to fall asleep — it happens. In-cab alerts and warnings can prevent serious incidents. The safety impact is obvious, but the operational ROI is huge too: accidents cause downtime, damage, investigations, and production loss. In those environments, ROI can be measured in days. Another example: using AI-based context around speeding, tailgating, forward collision warnings — it helps reduce fines and compliance risks. And when you improve driving behavior, you also improve fuel consumption and reduce wear and tear — those are the collateral benefits that directly hit the bottom line. So yes, there's ROI. The key is: tell us the use case and the pain point, and we can map the value clearly. ─────────────────────────────────────────────────────────────────────────────── Natalia: Can you share a few concrete examples — maybe two or three markets — where you've seen tangible results or strong outcomes? ─────────────────────────────────────────────────────────────────────────────── David: Sure. Starting with the UAE: we have a significant mining customer with about 600 vehicles, growing toward 1,000. Their top use case is drowsiness and fatigue. We've been running for about seven months and we've seen major reductions in those events. A key part of how we measure results is the rollout approach. During a trial, we do a "blind period" — cameras are installed but alerts are off. We measure baseline behavior: drowsiness, phone use, seatbelt compliance, texting. Then we turn alerts on. The behavioral change is immediate — and we often see around an 85% reduction in risky behaviors early on. The big goal is sustaining that improvement. A security example from Africa: a transport and logistics company carrying high-value commodities used cameras for protection. What they discovered was unexpected — drivers were using trucks to transport friends and passengers for extra cash. Video gave visibility into what was really happening, with clear operational and insurance implications. In the EU, a France example: driver-facing cameras can be sensitive because of unions, so road-facing cameras are used. They reduced accidents tied to following too closely and forward collision risk, and also supported exoneration by providing evidence. Different markets, different drivers — safety, security, compliance, exoneration — but the value is real. ─────────────────────────────────────────────────────────────────────────────── Natalia: Those are strong examples. And it really reinforces that this isn't "against the driver." It can actually be a driver-assistance tool that improves safety and makes everyday work better. Now let's talk about a major concern in Africa and the Middle East: connectivity and mobile data aren't always reliable or cheap. Uploading hours of raw video to the cloud isn't practical. Partners ask us: SIM costs, data usage, storage — it adds up. So how does LightMetrics solve the "cost and connectivity" problem? ─────────────────────────────────────────────────────────────────────────────── David: This is a key topic. First: we work through partners, and we're lucky because we hear challenges from many different markets. Our mantra is to make video simple. One big innovation we released is neural network video compression (NNVC) — basically, advanced compression. On the same 128GB SD card where you might normally get 70–80 hours of footage, we can extend storage by about 3x — closer to a month of retention in many cases. That's huge for exoneration, because if you need footage on day 12 and it's overwritten, you're stuck. Second: it reduces upload costs. If your video files are smaller, your data usage drops. In practice, we've seen meaningful reductions — around 65% less in some cases — because you're uploading less data for the same evidentiary value. That directly impacts TSP economics and makes the solution more affordable for fleets. ─────────────────────────────────────────────────────────────────────────────── Natalia: Great. How do you balance storage on the SD card versus the cloud? How do you reduce the risk of missing events — especially when coverage drops? ─────────────────────────────────────────────────────────────────────────────── David: Good question. We're cloud-based, but the system works with two storage layers: 1. On-device storage (SD card) for continuous recording and retention. 2. Cloud storage for uploaded event clips and data. Not everything is uploaded. Only configured events and relevant clips are sent to the cloud. Cloud storage is typically kept for a defined period (for example, six months, depending on settings). On missed events: AI is not 100% perfect — like humans, it can have false positives and false negatives — but our detection reliability is very high. And importantly, the "magic" happens on the camera (edge AI). Even if there's no connectivity, events are still detected, driver alerts still work, and everything is stored locally. When connectivity becomes available — LTE returns or the vehicle reaches a Wi-Fi hotspot — the device uploads. In remote environments like mining, fleets sometimes use local Wi-Fi hotspots for bulk upload when vehicles pass through. So we adapt to the reality of each region: store locally, alert locally, upload when possible. ─────────────────────────────────────────────────────────────────────────────── Natalia: Let's talk about hosting and compliance. Europe has GDPR. Saudi Arabia and other countries have strict requirements around where data is stored. As a global player, how does LightMetrics help partners comply with local hosting requirements? ─────────────────────────────────────────────────────────────────────────────── David: We're not reinventing the wheel — telematics providers like Navixy already know these challenges well. Video is data — just richer data — and it requires the same seriousness around hosting and compliance. We use AWS and support regional hosting. In the EU, for example, data can be hosted within EU regions. In the UK, within the UK region, and so on. But some markets require in-country hosting. Oman is an example where requirements can be very strict. AWS Outposts may not always meet those requirements. The good news: LightMetrics is working toward becoming cloud-agnostic, which means we'll be able to support on-prem or in-country hosting setups where required. This is driven by demand — not only in the Middle East, but also in markets like Cameroon where local hosting is mandated. ─────────────────────────────────────────────────────────────────────────────── Natalia: If on-prem hosting becomes available, who runs it? LightMetrics, or does the TSP need its own DevOps team? ─────────────────────────────────────────────────────────────────────────────── David: When it's available, we'll support it. We own the whole stack — we don't outsource our AI. We have our own AI team and cloud infrastructure team. Hosting has a lot of technical details, and our engineers work closely with partner teams to implement requirements. There is a cost associated with on-prem or special hosting, and it's handled through our service tiers and agreements. But yes: we work closely with TSPs, align on requirements, and implement them together. ─────────────────────────────────────────────────────────────────────────────── Natalia: Good — so you have your own DevOps team to support partners. ─────────────────────────────────────────────────────────────────────────────── David: Exactly. It's critical. There's a lot of "devil in the details," and we focus heavily on those details. Some partners are new to video telematics, so it's a crawl-walk-run journey. Others tried it before and were frustrated with earlier solutions — and then we need to rebuild trust and set expectations correctly. ─────────────────────────────────────────────────────────────────────────────── Natalia: Now let's switch to the TSP perspective again. Many providers want to move fast, but they don't have resources for big in-house development. RideView is designed to fill that gap. But hardware is diverse — from affordable cameras to advanced multi-channel DVR systems. How does LightMetrics manage hardware diversity while delivering a consistent RideView experience? ─────────────────────────────────────────────────────────────────────────────── David: Great question. We're a 100% software company, and we take a hardware-agnostic approach — but we don't integrate every camera in the market. We have a rigorous onboarding process. Today we work with a small set of camera partners across different regions, which gives us a wide portfolio: from cost-sensitive devices (with a solid subset of features) to high-end multi-channel DVR systems with large storage and many channels. The key is: all compatible cameras run our firmware. That makes the UX consistent across hardware. Partners can work directly with hardware vendors, negotiate pricing, request custom branding, and handle fulfillment — and in some regions we can even help with fulfillment directly. No matter the camera, the RideView experience is consistent: same interface, same event logic, same coaching and safety workflows. ─────────────────────────────────────────────────────────────────────────────── Natalia: And if we talk about rolling out at scale — thousands of units — do you provide self-install calibration or remote diagnostics? What tools help providers deliver projects fast? ─────────────────────────────────────────────────────────────────────────────── David: Yes. First, you need to get installation right: road-facing angle, driver-facing framing — it impacts AI event quality. We provide a mobile installer app (iOS/Android) with an installation workflow for each camera model. Installers follow step-by-step guidance, take photos, and generate a test report. This is crucial because many partners use third-party installers — and this creates consistency and auditability. We aim for plug-and-play: camera arrives with SD card and SIM inserted, and installation can take as little as 15 minutes on some models. For calibration: some cameras require manual calibration, but others self-calibrate automatically (for example, for ADAS). That helps in fleets where vehicles are used by multiple drivers with different seating positions. All of this is about simplifying deployment — again, devil in the details. ─────────────────────────────────────────────────────────────────────────────── Natalia: Do you also support partners with API documentation, user docs, and go-to-market materials — especially if they offer the solution under their own branding? ─────────────────────────────────────────────────────────────────────────────── David: Absolutely. We have a structured onboarding program and a Partner Success Hub (partner portal) with training videos, marketing collateral, and sales enablement resources — including demo support. We're also an API-driven company, with an extensive API library. And we provide SDK components that can help partners embed driver workflows into their own apps — so they don't need two separate applications. So yes: we support technology, operations, customer support, and go-to-market. And if something is missing, we work closely with partners to make it happen. ─────────────────────────────────────────────────────────────────────────────── Natalia: To wrap up: video telematics is getting crowded — everyone claims "AI dashcams." What innovations and trends will actually matter for fleets in the next few years, and how does LightMetrics decide what's truly valuable? ─────────────────────────────────────────────────────────────────────────────── David: What drives our roadmap is innovation with purpose. There's a lot of AI hype. The real question is: what does it mean for a fleet manager? Examples of meaningful innovation: - Talk to data: using AI to query risk and performance quickly — like identifying your riskiest drivers in the UAE versus Saudi Arabia over the last six months, without digging through dashboards. - Self-coaching workflows: enabling drivers to coach themselves through an app, because in-person coaching at scale is hard. - Market-specific focus: mining, logistics, and other industries where the cost of incidents is extremely high. And we also believe in "back to basics" innovation with measurable impact — like neural network video compression. It's not flashy, but it directly improves ROI. We build closely with partners. Their real-world challenges drive our roadmap, and we use that to differentiate. ─────────────────────────────────────────────────────────────────────────────── Natalia: Any roadmap insights you can share — something coming that not everyone knows yet? ─────────────────────────────────────────────────────────────────────────────── David: One key area is expanding self-coaching. The idea is to give drivers more direct access to their coaching moments so safety teams can focus on the truly high-risk cases. And the "talk to data" capability — not just "how do I use the product," but true risk intelligence: surfacing the most important risk signals in seconds, so fleet managers can act faster. It's very close — it's practically here. ─────────────────────────────────────────────────────────────────────────────── Natalia: Do you think those capabilities truly differentiate LightMetrics from competitors? ─────────────────────────────────────────────────────────────────────────────── David: Yes — especially in speed-to-market. But if I pick one differentiator that's already available: neural network video compression. Nobody else has it at that level today, and it directly impacts ROI — which is what fleets care about. ─────────────────────────────────────────────────────────────────────────────── Natalia: Before we close — is there anything important we didn't cover that you'd like to leave with the audience? ─────────────────────────────────────────────────────────────────────────────── David: We covered a lot. My key message is: video telematics is complex, and our job is to simplify it for partners — to help them get it right the first time. That includes technology integration, operations, sales enablement, marketing support, and customer support. One thing I want to highlight: the fear around deployment — "How many complaints will we get? What if drivers block cameras or tilt devices?" We provide tools for proactive device health and diagnostics. Partners can quickly see issues like incorrect mounting and address them before it becomes a bigger problem. We also provide part of that visibility to end customers so they can manage assets too. So we walk hand-in-hand with partners — and we're always happy to discuss details. Keep it simple, but pay attention to the details. ─────────────────────────────────────────────────────────────────────────────── Natalia: Thank you so much, David, for joining us today. We covered a lot — from how ROI differs across regions, to regulations, to how AI supports detection and driver coaching, and how to position video as a driver-assist tool rather than "Big Brother." This was a really insightful discussion. I personally enjoyed it a lot, and I hope you did too. ─────────────────────────────────────────────────────────────────────────────── David: Thank you, Natalia — and thank you again for having me. Everything we do is about reducing risk on the road and saving lives. Drivers are at the center of everything, and we want to make sure they get home safely to their families. That's what it's all about. Thank you so much. ─────────────────────────────────────────────────────────────────────────────── Natalia: Thank you very much, David. Thank you, thank you. ═══════════════════════════════════════════════════════════════════════════════ Learn more: - Navixy: https://www.navixy.com - LightMetrics RideView: https://www.lightmetrics.co - Watch this episode: https://youtu.be/59TbC8oARao