IMARC 2025 Keynote Panel: Innovation at the Core of Decarbonisation and Productivity
December 24, 2025
At IMARC 2025 in Sydney, Razor Labs’ Chief Business Officer, Tomer Srulevich, participated in a keynote panel titled “How Collaboration, Technology and Innovation are Accelerating Decarbonisation and Productivity.”
The discussion brought together leaders from EY, Byrnecut, OceanaGold, Schneider Electric, and Razor Labs – representing a diverse cross-section of mining operations, automation, engineering, and AI innovation.
While the panel covered a broad range of topics, from electrification to operational efficiency, Tomer focused on the critical role of AI in achieving real transformation on-site.
“Unless you build trust with the teams themselves that what you do actually works – it doesn’t work,” Tomer said during the discussion. “It’s not about buzzwords. It’s about engineering teams being part of the process.”
Trust First, Then Scale
Tomer emphasized that true adoption of AI and predictive maintenance starts small, proves value quickly, and scales only when root causes are understood. He cited examples where minor oversights, like not rotating a drum before restarting – led to massive failure events.
These could be avoided by systems that analyze multiple signals, deliver precise root cause insights, and eliminate reliance on manual inspection.
It’s Not About More Sensors – It’s About the Right Data
The panel agreed: sensor overload isn’t the answer. Many mining companies have thousands of sensors, some unconnected for years. The key is surfacing the right data at the right time to empower decisions, not just trigger alarms.
Razor Labs’ Sensor Fusion approach, discussed by Tomer, combines vibration, oil, current, vision, and other signals to deliver actionable insights, not just dashboards.
From Pilots to Proven Value
Too often, digital pilots are launched without a clear value outcome. As Tomer noted, “You’re not doing a pilot to test the tech. You’re doing it to solve a specific pain.”
Whether the goal is reducing spare part costs, cutting unplanned downtime, or pushing tonnage – AI needs to be evaluated against meaningful KPIs.
AI That Works With the Workforce
A recurring theme in the panel was collaboration. AI shouldn’t sit on top of existing workflows – it needs to be embedded into the daily routines of operators and maintainers to truly make an impact.
Razor Labs’ approach is built around that principle, delivering tools that frontline teams actually use, from predictive diagnostics to visual AI for real-time inspections.
As the mining industry faces growing pressure on productivity, sustainability, and workforce readiness, the panel’s message was clear: the future belongs to operations that combine data, engineering, and trust, not just technology.
