Metso has built the minerals processing industry's most complete portfolio — from ore tracking to hydrometallurgy. One segment of the value chain remains outside it. The mobile fleet carrying ore from face to plant — 40–60% of mine operating cost — carries no Metso intelligence today, above ground or below. SymX.AI is the only platform that closes that gap: WiFi mesh connectivity, patented AI, and fleet intelligence across every OEM, every mine size, every environment.
Highlighted nodes show where SymX adds the intelligence layer Metso's current portfolio does not cover. Hover each node to explore.
Each module addresses a specific gap in Metso's current mobile fleet capability. All are in production across enterprise deployments.
Monitors engine health, hydraulics, powertrain, and fault codes across the active fleet 24/7. Delivers 48–72 hour advance failure warnings — before the truck stops. Validated 50% reduction in unscheduled downtime and 14% maintenance cost savings.
Metso gap it closes: Dynamox monitors fixed plant motors. Nothing monitors the mobile fleet.
X.Machines product page ↗Real-time cycle optimisation — identifies and eliminates queuing, idle time, and procedural bottlenecks as they form. Proven 23% cycle time reduction at Doe Run underground mine. Monthly production increased 22.9% across three independent measurement streams.
Metso gap it closes: Dispatch intelligence on the trucks Metso physically supplies.
SymX product overview ↗Full-spectrum connectivity and proprietary high-definition mobile equipment data streaming platform. Deploys WiFi mesh across surface and underground environments — no GPS dependency, no pre-existing infrastructure required. Every equipped machine becomes a mesh node in a self-healing network.
Also covers satellite, LTE, Bluetooth, and store-and-forward edge compute for remote surface mines. OEM-agnostic data ingestion delivers structured, high-resolution telemetry streams regardless of manufacturer — on any terrain, in any environment.
Metso gap it closes: Metso has no connectivity or data streaming platform for the mobile fleet today, surface or underground.
X.Connect product page ↗Proprietary pressure, temperature, and wear sensors embedded per wheel position — co-developed with Yokohama Mining and commercially deployed at enterprise scale. Predictive replacement and rotation AI extends tire life and eliminates unplanned blowout-related downtime.
Metso gap it closes: Sits inside the Metso truck body. Zero additional hardware footprint on existing deployments.
X.Tires product page ↗Patented AI applied to maintenance logs, parts history, and procurement data. One of the most comprehensive predictive maintenance and parts management platforms in the industry — and industry-agnostic by design: X.Parts runs on mobile equipment and fixed equipment interchangeably, without any architectural change, right now.
Identifies assets prone to failure, optimises parts inventory, and auto-triggers procurement before downtime occurs. The core AI model is protected by patents that represent a genuine structural competitive advantage.
Metso gap it closes: Bridges mobile fleet intelligence directly to Metso's fixed plant equipment — including Metso Metrics — via a single platform already validated on both equipment types.
X.Parts product page ↗In development as part of the current Series A use of funds: sensors and AI for motors, fans, pumps, conveyors, and crushers. Creates a direct integration pathway to Metso Metrics — one unified intelligence stack from underground haul truck to process plant equipment.
Strategic significance: Bridges mobile fleet AI to fixed plant. Metso's end-to-end promise becomes physically deliverable.
About SymX.AI ↗Sandvik's digital revenue reached SEK 5.1B in 2025, targeting SEK 13B by 2030. Weir spent USD 1.1B on Motion Metrics and Micromine. Neither covers what SymX covers. The last column is what Metso gains.
| Capability | Metso today | Sandvik | Weir / Motion Metrics | ✦ Metso + SymX.AI |
|---|---|---|---|---|
| Process plant intelligence | ✓Full stack | ✗None | ~Mine planning only | ✓Full stack retained |
| Haul truck body (physical) | ✓100+ deployed | ✗None | ✗None | ✓Body + intelligence |
| Mobile fleet telemetry — all OEMs | ✗None | ~Sandvik only | ~Shovel/payload only | ✓All OEMs, 24/7 real-time |
| Predictive maintenance (mobile) | ✗None | ~Partial, own fleet | ✗None | ✓48–72hr advance, all OEMs |
| WiFi mesh connectivity (all environments) | ✗None | ~Own systems only | ✗Non-functional underground | ✓1 km HaLow, no infrastructure |
| Predictive parts AI (mobile + fixed) | ✗None | ~Limited | ✗None | ✓X.Parts (patented) |
| Ore tracking — mobile transit | ~Plant boundary only | ✗None | ✗None | ✓Load point → crusher |
| Tire intelligence | ✗None | ✗None | ✗None | ✓Sensors + AI (Yokohama) |
| Small / mid / underground mines | ✗Digital skews large | ✗Large only | ✗Large copper only | ✓All sizes, 70%+ of mines |
| Mobile → fixed plant bridge | ✗Disconnected | ✗None | ✗None | ✓Unified via SymX Series A |
| Fleet dispatch AI | ✗None | ~AutoMine (Sandvik) | ✗None | ✓X.Fleet: cross-OEM |
| Portfolio gaps | 7 of 10 | 5 of 10 | 6 of 10 | 1 of 10 — and it doesn't matter |
All figures attach to Metso's existing truck body customers, SmartTag installations, and Minerals services relationships. No new customer acquisition assumed.
Deployments across mining, connectivity, and fleet AI — drawn from SymX's published case studies and articles.
Two or three sites in Metso's truck body installed base. Defined KPIs. Auditable results. The same model SymX used to build its partnerships with Epiroc and Yokohama Mining. The data will make the commercial case for what comes next.