The Service Intelligence Platform for OEMs
Elevāt combines connected machines, structured service workflows, and AI-driven insight into a single system that reduces mean time to repair and increases uptime across your dealer network.
No commitment required. Built for OEM service organizations.
ELEVAT.PLATFORM / NETWORK.LIVE
99.99% UTC
OEM
Fleet Visibility
Dealer Network
247 Active
ELEVĀT
Service Intelligence
routing · 1.2k events/min
Machines
35,142 Online
Service Teams
Active
SYSevents 1,284/min
latency 42ms
healthy
Built with and trusted by OEMs and component leaders
What is service intelligence?
Service intelligence helps OEMs turn machine intelligence, diagnostics, dealer workflows, and service history into coordinated action across their service network.
It is what equipment telematics, remote diagnostics, and condition monitoring become when they reach the right team with the right context.
Full machine context, before service begins.
Diagnostics, machine health, and live alerts, unified into one operational view your team can act on.
- Live diagnostics
Fault codes, telemetry, and active issues at a glance. - Machine health
Real-time status and operating context. - Context-rich alerts
History, location, and recommended actions. - Actionable insight
Built for technicians to resolve, not just to read.
The Transformation
From reactive service to proactive execution.
Machine Intelligence changes the moment service begins, from blind dispatch to context-rich, guided execution.
Without Machine Intelligence
- Reactive service. Limited visibility.
- Manual inspection
- Incomplete machine context
- Delayed diagnosis
- Repeat service visits
Higher service costs
Longer downtime
Inconsistent execution
With Machine Intelligence
- Issues identified early. Full context upfront.
- Issue identified before dispatch
- Full machine context available
- Technicians arrive prepared
- Higher first-time fix rates
Lower service costs
Reduced downtime
Consistent execution
Start here
Start with machine data. Move toward service intelligence.
A guided path through equipment telematics, remote diagnostics, and condition monitoring to coordinated service action for OEMs and dealer networks.
Equipment Telematics
Connected machines create visibility through equipment data, machine health signals, utilization, fault codes, and service history.
ExploreRemote Diagnostics
Machine context, fault codes, alerts, and service history support faster diagnostic decisions across OEM and dealer teams.
ExploreCondition Monitoring
Machine health signals and condition data help OEMs identify potential service needs earlier through proactive analysis.
ExploreService Intelligence
Machine data, diagnostics, dealer workflows, and service context turn into coordinated action across the OEM service network.
Explore
How It Works
From machine signal to service resolution
Elevāt connects every layer of service, from data capture through coordination, execution, and feedback, into one continuous flow.
Service Coordination Flow
- Issue detected
Machine telemetry surfaces a fault in real time. - Context created automatically
Diagnostics, history, and recommended actions are bundled into a service ticket. - Correct dealer engaged
The right dealer is notified with full context and routing details. - Technician arrives prepared
Tools, parts, and guided procedures are ready before arrival. - Resolution tracked and shared
Outcomes flow back to OEMs and dealers to drive continuous improvement.
Machine Intelligence
Service starts with visibility. But visibility alone isn't enough.
Machine Intelligence brings together machine data, diagnostics, and service context into a single operational layer, so decisions are made before service begins, not during it.
What the system captures
- Machine Data & Signals
Real-time data across systems, components, and environments. - Fault Codes & Alerts
Issues identified early and surfaced with diagnostic context. - Asset Context
Machine history, configuration, and operating conditions, available before dispatch. - System Monitoring
Continuous visibility into machine health across the lifecycle.
What your team gains
- Service decisions made with full context
- Technicians arrive prepared
- Issues identified earlier in the lifecycle
- More consistent service execution
Platform Architecture
A system built to improve service from detection to resolution
Continuous Feedback Loop
Data Layer
Machine Intelligence
Machine data, diagnostics, and asset context provide visibility before service begins.
- What it does
Captures and normalizes machine telemetry, faults, and asset history. - What it produces
Live machine health, fault context, and asset records ready for service. - Who uses it
OEM product, service, and aftermarket teams
Execution Layer
Service Portal
Structured workflows, ticketing, and remote diagnostics drive consistent service execution.
- What it does
Turns machine signals into tickets, guided diagnostics, and dispatchable service workflows. - What it produces
Standardized service jobs, work history, and dealer execution data. - Who uses it
Dealer service managers, technicians, and OEM support
Intelligence Layer
Elevāt AI
AI-assisted diagnostics and pattern detection improve decision-making and reduce repair time.
- What it does
Analyzes fleet-wide patterns and recommends next-best actions on every job. - What it produces
Guided diagnoses, root-cause insights, and service performance trends. - Who uses it
Service leaders, dealer networks, and OEM product teams
Across the service lifecycle
Before Service
Full machine context before dispatch reduces unnecessary truck rolls and delays.
During Service
Guided diagnostics and structured workflows improve first-time fix rates and service efficiency.
After Service
Feedback loops provide insight to OEM teams, reducing future downtime and improving performance.
Outcomes
Measurable impact across service operations
−-365% Resolution time
+-320% First-time fix rate
−-256% Unplanned downtime
-29.2x Average ROI in year one
Understanding the ROI of Connected Service
See how a connected service system drives uptime, faster issue resolution, and stronger lifecycle value across the OEM and dealer network.
- Real-world downtime cost scenarios
- Proactive vs reactive cost comparison
- Value of enhanced connectivity across OEM ecosystems