Preserve engineering knowledge, diagnose critical equipment with better context and plan work around remote access and high downtime costs.
Maintenance teams do not need another layer of generic AI. They need clearer asset context, faster diagnosis and work that can be executed inside the realities of their operation.
Remote access, mobilisation and constrained maintenance windows make an incomplete first diagnosis costly. Avertis keeps asset history and source evidence in reach so teams can prepare the intervention with more context.
The engineer who solved the last failure may be onshore or on another vessel. Captured engineering knowledge makes previous findings and decisions easier to reuse by the team carrying out the work.
A remote diagnosis is only useful if it becomes executable work. Avertis connects the finding to maintenance planning, parts requirements and field execution.
Avertis connects maintenance execution, predictive intelligence and engineering knowledge. These are the platform areas with the strongest fit for the operational problems above.
Give remote teams cited maintenance guidance from documents, history and previous engineering decisions.
Explore AI Ecosystem →Relevant Avertis areaSupport field execution and contractor coordination where access is constrained or distributed.
Explore Field & Contractor Operations →Relevant Avertis areaTurn a remote diagnosis into work that is planned with the required parts and timing.
Explore Maintenance Operations →Avertis is designed to show the engineering context behind an emerging asset condition: what changed, what the likely failure mode is, what should happen next and which source evidence supports that recommendation.
Direct answers for maintenance, reliability and operations teams evaluating where Avertis fits.
Explore how Avertis applies across different operating environments and maintenance constraints.
We can walk through the platform using the equipment, maintenance problems and operating constraints that matter to your team.