Digital maintenance
Corrective, preventive, electrical, and vehicle work with technicians, evidence, spare parts, and reports in one accountable workflow.
- Work orders, inspections, and evidence
- Asset-level maintenance history
Symbiot connects maintenance, production, IIoT, and asset history with industrial AI that helps people resolve incidents and preserve technical knowledge.
Symbiot connects field work, plant data, and systems to preserve what works, unlock reliable insights, and drive continuous improvement.
Works with PLCs, historians, and systems you already use, with an implementation planned around the plant's operating constraints.
Technicians capture what matters in the moment. Actions, readings, and media stay with the asset.
Manuals, work orders, preventive history, and asset records help operators and technicians resolve real incidents.
Works with your systems and technologies.
The same operational context, presented for the people who use it: maintenance, production, engineering, and management each work from a view built for their daily decisions.
Work orders, manuals, preventive history, evidence, and AI guidance concentrated in a traceable flow.
Resolve and document with context.Operators identify the machine by QR and use its operating manual to resolve authorized incidents or escalate them with context.
Resolve first. Escalate better.Variables, connectivity, dashboards, and technical documentation linked to existing assets.
Data with industrial context.Visibility over availability, time, activity, and the points where the operation loses efficiency.
Traceable decisions.Field app, company dashboard, IIoT, and AI-assisted history: every surface works over the same asset context inside a dedicated company environment.
The mobile workflow reduces dependence on paper, scattered messages, and manual reconstruction of completed work.
Fluid level and equipment temperature shown as operational variables linked to the asset.
Pressure drops below 6 bar during the purge cycle. What history is relevant?
A similar symptom followed valve calibration WO #4790. Compare the current valve position with the last preventive pressure reading before resetting.
Manuals, work orders, preventive history, notes, and interventions support troubleshooting and AI-assisted technical reports.
Symbiot brings field execution, machine data, technical history, and operational intelligence into one traceable system built around the installed base.
Corrective, preventive, electrical, and vehicle work with technicians, evidence, spare parts, and reports in one accountable workflow.
AI uses the machine's operating manual to help operators resolve authorized incidents or create a complete maintenance request.
Gateways, industrial protocols, and low-power networks connect machines, sensors, and remote assets.
Each company manages users, roles, assets, reports, and operational data inside its own isolated cloud environment.
Each machine concentrates interventions, documentation, events, requests, and operating data.
Industrial AI applies manuals, work orders, preventive history, and field experience while the incident is being resolved.
Symbiot enters through a real plant constraint, configures the smallest useful workflow, and expands only when the operation can see evidence.
The diagnostic isolates one loss of time, context, traceability, or visibility and agrees on what a useful result would look like.
Discuss the first use caseStart boundedOne asset, line, or workflow.
Fit the plantUse the installed base and the right level of connectivity.
Scale by evidenceAdd capabilities after the first result is visible.
Symbiot assists the operator, supports the technician, and turns successful field experience into reviewed technical knowledge.
AI consults the machine's operating manual before turning an unresolved incident into accountable maintenance work.
An operator detects a fault at the workstation.
Authorized checks are guided first; symptoms, answers, asset, and priority follow any escalation.
Simple incidents stay with production while maintenance receives better requests.
The first step is not buying software. It is understanding your assets, maintenance workflows, plant constraints, and available data.