IoT Data Driven · AI Powered · Industrial Equipment Service
Shift From Equipment Provider to Predictive Service Partner
OEMs and equipment makers are turning machines into services. Exosite gives you an IoT data driven, AI powered platform: the industrial connectivity, the condition monitoring application, and machine learning deployed into the data pipeline. With it you can transform your product offering with advanced service capabilities that match the quality your customers expect from your equipment.
IoT data driven, AI powered industrial equipment service solutions, under your brand and for your customers.
Haven't connected anything yet, or tried and it stalled? See how to pitch, pilot, and deploy IoT →
Your customers don't buy products. They buy uptime.
The equipment makers gaining ground today aren't only shipping better hardware. They're delivering better service to the customers who depend on their machines.
Catch failures earlier
Anomaly detection on vibration, temperature, and pressure trends gives technicians days or weeks of lead time on bearing, motor, and seal failures.
Cut the truck rolls
When the alert arrives with a diagnosis and the right part, first-time-fix rates climb and wasted trips drop.
Sell service, not just hardware
Move from one-time sales to uptime contracts, performance-based agreements, and recurring service revenue.
Deploy in weeks
ExoSense® is a configurable application, not a build-from-scratch project, so you can ship to customers in weeks.
The best time to reach your customer is before they have a problem.
For most equipment companies, the relationship goes quiet after the sale. The customer calls when something breaks, and you react. Connected equipment changes that. When you can see how every machine in your installed base is running, you can contact the customer before they have to call you, and the relationship becomes ongoing service instead of occasional repair.
Transactional relationship
Sell. Ship. Wait for the call.
Sale closes
Equipment is shipped and installed. Relationship hands off to support.
Months of silence…
Scheduled service visit
Calendar-based. Equipment may not need it, or the real problem is already brewing.
More silence…
Customer calls: line is down
Emergency truck roll. Wrong parts. Production stopped. You are measured on how fast you can fix a problem you never saw coming.
Renewal conversation
The customer is weighing alternatives. They haven't heard from you in months except when something broke.
Service relationship
Continuous insight. Continuous presence.
Sale closes + equipment connects
Fleet visibility starts immediately. You know how every machine is running.
Monthly performance report delivered
The customer sees utilization, uptime, and efficiency trends in your branded application, so you stay in contact even when nothing is wrong.
You call first: “Unit 4 is trending toward a bearing issue.”
Service is scheduled around their production window, with the right part already ordered. The line never stops.
Anomaly caught 3 weeks early on Unit 7
Condition monitoring flags a pressure drift. You notify the customer, dispatch on-condition. Zero unplanned downtime.
Renewal conversation, with data behind it
You arrive with 12 months of uptime data and a service track record. Switching you out isn't a procurement decision; it's a disruption to their operation.
01 · Insight
Turn what you know into what you do
You know your equipment's failure modes better than anyone. Connected machines put that expertise to work across your installed base, all the time.
02 · Presence
Stay in front of the competition
A competitor can match your specs and your price, but not your service relationship or the data history from your customers' machines.
03 · Partnership
Become irreplaceable
When your software, data, and service team are part of how a customer runs, replacing you would disrupt their operation.
Five stages. One platform that grows with you.
Most OEMs sit somewhere between stages 1 and 2 today. Exosite meets you where you are and helps you move to the next stage at your own pace, on your equipment.
Stage 01
Reactive
Fix it when it breaks.
The customer calls you when something stops working.
What it looks like
Service is a cost center. Truck rolls are unplanned. First-time-fix rates are low because your technician often arrives without the right context or the right parts. Your customer measures you on how fast you respond to a problem you didn't see coming.
How Exosite gets you to the next stage
Connect equipment quickly using Murano's device APIs, gateways, and federation from existing device clouds, without replacing your hardware. You can have your fleet in one view in ExoSense within weeks.
Stage 02
Scheduled
Calendar-based maintenance.
Service intervals based on the calendar or runtime hours.
What it looks like
Maintenance happens on a calendar. It is predictable for planning but expensive: you service equipment that doesn't need it, and miss failures that don't follow the schedule. The customer pays for visits whether or not anything was wrong.
How Exosite gets you to the next stage
Replace blanket intervals with runtime- and usage-based triggers using ExoSense rules and conditions. Bring real telemetry (hours, cycles, load, temperature) into your service planning.
Stage 03
Condition-based
Act on real equipment state.
Thresholds and rules trigger work when assets drift out of range.
What it looks like
You act on the equipment's actual condition. When vibration rises, temperature drifts, or pressure goes out of range, the right person is notified. Fewer truck rolls are wasted, first-time-fix rates improve, and the customer sees problems handled before they turn into failures.
How Exosite gets you to the next stage
ExoSense's no-code data pipeline and condition management workflows let your engineers encode your domain expertise as rules, transformations, and notifications without building a backend.
Stage 04
Predictive
Catch the failure before it happens.
Anomaly detection and ML models flag failures days or weeks ahead.
What it looks like
You know what is going to fail before it does. Anomaly detection catches the bearing that's starting to fail three weeks out. Service is scheduled around the customer's production window. You are now delivering uptime, not just visits.
How Exosite gets you to the next stage
Insight functions let you customize machine learning inside the data pipeline. Start with off-the-shelf anomaly detection, tune the model parameters to your equipment, build multi-input models that combine signals across the asset, or run your own algorithms as pipeline functions. No data science team yet? Exosite's team works alongside your equipment experts to analyze the data, design the algorithms, and deploy the models.
Stage 05
Prescriptive
The system recommends the action.
Work orders, parts, and procedures generated automatically.
What it looks like
Beyond predicting a problem, the system tells your service team what to do. The right technician, the right part, the right time window, the right procedure. The model sits between your data and your operating playbook. Service becomes a productized offering. Agentic AI takes this further: rather than surfacing a recommendation for a human to act on, an AI agent can autonomously execute multi-step service workflows, such as opening the work order, confirming parts availability, scheduling the technician, and notifying the customer, without a manual handoff at each step.
How Exosite gets you to the next stage
Custom action functions integrate ExoSense conditions with your CMMS, ERP, ticketing, and parts systems. The insight functions layer becomes the decision engine: it recommends actions, prioritizes the work queue, and tracks outcomes. As agentic AI models mature, Exosite's open pipeline architecture means you can wire in orchestration agents that act on conditions directly, taking a detected anomaly through to a service dispatch and bringing a person in only when approval is needed.
One platform, end to end. Yours by design.
Building a custom solution means assembling cloud services from multiple vendors, aligning data schemas, and staffing a team to integrate, maintain, and operate it all. Exosite's stack (Murano, ExoSense, and the insight functions layer) is built to work as one system. No services to wire together, no schema alignment, no fragile hand-offs between systems. It's ready to run as your product for your customers.
Industrial IoT platform
Murano
Device connectivity, data ingestion, and storage that scale without re-architecting, on managed cloud, dedicated cloud, or on-prem.
Learn more about Murano →Condition monitoring
ExoSense
White-label condition monitoring with multi-tenant access, asset templates, dashboards, and no-code rules.
Learn more about ExoSense →Insight & Action
Analytics, ML, & AI
Anomaly detection and machine learning run as configurable functions in the data pipeline, off-the-shelf or your own.
AI services
Exosite's team
Our data science and engineering team analyzes your data, designs ML algorithms, and builds Actions and agentic AI with you.
The right integration points.
Add machine learning and custom logic as functions inside the same data pipeline that already handles ingestion, transformation, and condition management. Start with off-the-shelf functions, tune them to your equipment, or deploy your own algorithms. All of them run as pipeline functions you control.
Telemetry, transformed in flight
Telemetry flows from your edge devices through Murano into a streaming pipeline you configure in ExoSense. Insight functions are the building blocks. They cover transformations, machine learning, and custom logic, and run as configurable functions inside the pipeline:
- Transformation functions: Filtering, smoothing, derived signals.
- Anomaly detection: Start with proven ML algorithms, tune the parameters to your equipment as you learn what matters.
- Custom multi-input functions: Combine signals across an asset (or across assets) to model system-level behavior. Define your own logic or deploy your own ML model as a function.
- Condition management: Turn model output into states, work orders, and notifications via your operating procedures.
Data, reporting & scale
Real-time processing, time-series storage, and a full historical data lake are included, not sold separately. Your equipment data accumulates over time and stays queryable, giving your team and your customers access to the long-term record that makes advanced analysis and reporting possible.
- Time-series database: Operational queries and real-time visualization at any fleet size.
- Full historical data sets: Retained for big-data analysis, ML model training, and long-term trend work.
- Advanced report generation: Build and deliver custom reports on equipment health, utilization, and performance directly to your customers as part of your service offering.
- Export paths: Connect to external data-science tooling and BI platforms without re-architecting.
- Deployment options: Managed cloud, managed dedicated cloud, and on-prem / air-gapped for compliance-sensitive environments.
"Exosite invested in our IoT vision. Their process made us feel like partners as we collaborated to develop our commercial offering. They rose to the challenge to meet an aggressive timeline and delivered tangible value to our customers, while achieving the right price to sustain our offering into the future."
Trey Taylor
Solutions Sales Manager, Fairbanks Morse
Related solutions
The same platform and the same connected equipment support each of these.
Where is your service organization on the curve?
Let's map your equipment, your customers, and your service economics to the maturity model and sketch what the next stage looks like for your business.