Connect the operation
Bring work orders, assets, planned maintenance, parts, schedules and field execution into one controlled maintenance environment.
About Avertis
Built from the maintenance problems I saw first-hand.
Avertis was created to give every engineering team the maintenance workflows, specialist knowledge and AI-assisted decision support that are normally hardest to build, retain and access at the point of work.
Why Avertis exists
Less time searching. Faster diagnosis. Knowledge that stays.
The platform is built around two persistent industrial problems: avoidable downtime and the loss of practical engineering knowledge as people and teams change over time.
Founder story
Why I started Avertis
My thinking behind Avertis started while I was working at GSK as a reliability engineer. I had the opportunity to see how a large enterprise approaches maintenance operations: structured workflows, asset records, planned work, engineering documentation and reliability activity all operating at significant scale.
But even in that environment, a huge amount of engineering time could still be lost simply finding the information needed to make a decision. Manuals, work history, maintenance records, condition information and engineering data often had to be searched separately and pieced together manually. On complex equipment, understanding what had actually failed and getting to a defensible root cause could take a long time.
Later, while working as Head of R&D at another engineering business, I saw the same challenge from a different angle. SMEs and manufacturers did not always have access to deep specialist engineering resource in the first place. Recruiting experienced engineers was difficult, retaining them was difficult, and when that experience left the business, a large amount of practical knowledge could leave with it.
The idea
What if enterprise-level maintenance capability could be available to every engineering team?
That became the foundation for Avertis: combine enterprise-grade maintenance operations and workflows with AI systems designed specifically for manufacturing, reliability and maintenance. Then connect those systems to each facility's own assets, manuals, work history, condition data and engineering knowledge.
The goal is not to add a generic AI assistant beside another maintenance system. It is to give engineers the relevant operational context and specialist knowledge at the moment they need it, help them move from a symptom to an evidence-backed action faster, and retain the reasoning and outcome so the next diagnosis starts smarter.
Our mission
Put detailed maintenance intelligence at the fingertips of every team.
Avertis is designed to reduce the distance between a maintenance signal, the engineering context behind it, the decision that follows and the knowledge retained from the outcome.
Bring the knowledge to the engineer
Connect manuals, history, asset context and specialist reasoning so teams spend less time searching and more time resolving the problem.
Keep learning from the work
Capture observations, evidence, diagnoses, corrective actions and outcomes so useful engineering knowledge remains available to future teams.
Built around maintenance reality
Maintenance teams already work across operational data, manuals, work history, specialist knowledge, contractors and field activity. Avertis is designed to connect those pieces instead of forcing another disconnected workflow around them.
Specialist AI with engineering context
Our approach is to build AI around the actual maintenance decision: the asset, symptoms, documents, history, condition information and captured diagnostic knowledge required to understand what is happening and what should happen next.
See the platform behind the mission.
Explore how the five Avertis solution areas connect maintenance operations, AI, predictive intelligence, reporting and field execution.