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éXō Fleets Insights - Every mile counts
éXō Fleets Insights: Every Mile Counts is the podcast for fleet leaders navigating mixed-fuel, mixed-class, multi-site operations, while balancing cost, performance and sustainability.
Each episode explores the real-world decisions shaping modern fleets, from diesel, EV, HVO, CNG and hydrogen, to infrastructure, data, funding and operations. We break down how better fleet insight drives measurable savings, lowers cost-per-mile, and helps organisations track, manage and achieve CO₂ reduction and sustainability targets with confidence.
Hosted by the éXō Fleets team alongside industry experts, customers and partners, éXō Fleets Insights: Every Mile Counts cuts through complexity to focus on what actually matters: visibility across fuels and sites, performance measurement, emissions reporting and practical actions that deliver both financial and environmental results.
Because when you understand what’s really happening across your fleet, every mile becomes an opportunity, to reduce costs, cut emissions, hit CO₂ targets and move your fleet forward with clarity and control.
éXō Fleets Insights - Every mile counts
The B-Hive Tech Review with Stephen Breen - Why IBM & NASA’s “Surya” Matters for Our Industry
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B-Hive Tech Review | By Stephen Breen, Lead Architect, ZeroMission
This week, Stephen dives into one of the most exciting breakthroughs at the intersection of AI and science: IBM and NASA’s Surya, an AI-powered digital twin of the Sun.
Trained on nine years of solar data, Surya can predict solar flares with 16% greater accuracy, deliver up to two hours’ advance warning, and continuously learn from multiple missions. But the real story isn’t just about astronomy, it’s about the future of AI + digital twins for complex systems.
In this episode, Stephen unpacks why Surya is more than a space-science achievement. It’s a blueprint for resilience that every industry, from energy to mobility to supply chains, can learn from. And crucially, what it means for EV fleets and logistics.
Tune in to hear how lessons from Surya translate into transport operations:
- Predictive maintenance that prevents failures before they cascade
- Smarter load balancing at depots to avoid bottlenecks
- Real-time scenario modelling for adaptive fleet operations
The Sun may be 150 million kilometres away, but its digital twin is sparking ideas much closer to home. If AI can help us forecast solar storms, it can just as powerfully help us future-proof the fleets and infrastructure that keep our world moving.
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Reach out to us on Email: info@zeromission.io
Connect with our team Alan Crowley, Kevin Christopher, Stephen Breen, Liam Nolan, Callum Hennessy, Niamh Quinn
By Stephen Breen, Lead Architect, ZeroMission
This week, IBM and NASA announced something extraordinary: Surya, an AI-powered digital twin of the Sun.
Trained on nine years of high-resolution solar data from missions like the Parker Solar Probe and SOHO, Surya is more than just a model. It can:
- Predict solar flares with 16% higher accuracy
- Provide up to two hours’ advance warning, double the current standard
- Integrate multi-mission data into a continuously learning system
Why does this matter? Because solar storms aren’t just astronomical curiosities. They can disrupt satellites, power grids, aviation, and communications here on Earth. Surya is a demonstration of how AI + digital twins can deliver real-time resilience for critical infrastructure.
The Bigger Lesson: AI + Digital Twins for Complex Systems
What excites me about Surya isn’t just its space-science achievement, it’s the blueprint it offers for industry and infrastructure.
Surya shows us the power of domain-specific foundation models:
- Combining vast datasets with predictive intelligence
- Anticipating failures before they cascade
- Scaling insights across energy, mobility, and supply chains
This isn’t just a breakthrough in astronomy. It’s a signal for every sector wrestling with complexity.
What It Means for EV Fleets & Logistics
At ZeroMission, we see the same opportunity in transport and mobility. Fleets are becoming increasingly multi-fuel, data-heavy, and interdependent. From battery health to depot charging loads, the risks of downtime are real.
What Surya proves is that digital twins, when powered by AI, can make the invisible visible:
- Predictive maintenance that catches failures before they happen
- Load balancing that prevents depot bottlenecks
- Scenario modelling that helps fleets adapt to shifting demand in real time
The Sun may be 150 million kilometres away, but the principle is the same:
• Build domain-specific models.
• Feed them real-world data.
• Turn intelligence into resilience.
If AI can help us predict solar storms, it can certainly help us future-proof the fleets and infrastructure that keep our world moving.
