Self-improving operating systems to find and capture hidden production capacity.
For non-ferrous metals and mining operations. We connect the plant data you already have, find where production is leaking, and recommend the actions to recover it - continuously.
Interactive preview of Subatix OS, opened on the ReliabilityEngine module for a copper concentrator: the plant’s worst recurring failures ranked by financial impact, with an open root-cause finding - hypothesis confidence, a cross-source evidence chain, and a recommended corrective action ready for an engineer to approve. Use the sidebar to browse the other modules.
Bad Actors
Ranked by failure frequency × downtime × cost impact - evidence-linked to source records
SAG-1 Pinion Bearing
Ranked hypotheses
2 competingLubrication-film breakdown on pinion bearing B-101 under sustained high-tonnage load drives temperature excursions and accelerated wear. Consistent across 5 work orders and vibration-trend history.
Misalignment from foundation settling raising radial load. Supported by asymmetric wear pattern but does not explain the recent step-change in oil temperature.
Evidence chain
4 sources · 15 recordsRecurrence
5 events · 12 moRecommended action
Subatix OS · ReliabilityEngine - live product, example workspace
Pick your operation - the systems are configured to its process and economics.
Don't see your metal? We start with copper and gold, but the same data foundation extends across non-ferrous metals and mining.
Tell us what you runBuilt by operators who got tired of leaving slide decks behind.
Years of top-tier consulting meets production-grade AI systems.
Operational excellence for non-ferrous metals and mining sites - years of real P&L delivery across heavy-industry operations.
AI products and applied systems, and full-stack development - turning operational knowledge into systems that run in the plant.
We've done operational work in mining, metals and energy before - we know how teams work and where the pain is. We put that knowledge into Subatix systems.
- 0%
- Equipment downtime reduction at a copper plant - planning, faster RCA, performance management
- 0%
- Downtime reduction at a copper smelter - scheduling and furnace turnaround acceleration
- $0M+
- Additional EBITDA captured during a gold plant ramp-up
- $0M+
- EBITDA potential identified in a gold-plant operational diagnostic
- $0B
- Asset modernization program for a copper producer under tightening regulation
- $0M+
- First-quarter impact from an operational-excellence control tower, energy
From first diagnostic to a system your team runs.
Every engagement starts the same way - the data tells us where to focus, then we deploy, train and keep improving.
Ops & data architecture diagnostic
Two parallel tracks - operational performance mapping and a data-architecture assessment. You get a full loss map and a live workspace on your data.
Configuration & deployment
We prioritize the first-wave solutions from the diagnostic, configure them to your site and processes, and train your team during deployment.
Ongoing support & improvement
We monitor quality and stability, recalibrate as needed, and roll out improvements with your team. Bespoke systems can be added as needed.
Fixed fee diagnostic · Outcome-based deployment · Your team operates it
What teams ask before they start.
01Our data is too messy - we're not ready.
02We already have a historian, LIMS, SAP / Maximo.
03We don't need another dashboard.
04Can we trust the AI outputs?
05Will it add admin work?
06Who runs it - do we depend on you?
07How do we start?
Let's scope it together.
Start with the two-track diagnostic - fixed fee, first insights on your actual data, no commitment beyond it.