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 — so 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, for your customers.
Your customers don't buy products.
They buy uptime.
The equipment makers gaining ground today aren't just shipping better hardware — they're delivering a fundamentally better service to the customers who depend on their machines.
Catch failures earlier
Anomaly detection on vibration, temperature, and pressure trends gives technicians days — sometimes weeks — of lead time on bearing wear, motor degradation, and seal failures.
Cut the truck rolls
When the alert arrives with a diagnosis and the right part, first-time-fix rates climb. Fewer wasted trips. Higher technician utilization. Better customer experience.
Sell service, not just hardware
Move from one-time sales to uptime contracts, performance-based agreements, and recurring service revenue — under your brand, on your terms.
Deploy in weeks
ExoSense® is a configurable application, not a build-from-scratch platform project. Connect a fleet, configure conditions, and ship to your customers in weeks.
Service transformation
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 equation entirely. When you can see how every machine in your installed base is running, you stop being a vendor and start being the most important partner your customer has.
Sell. Ship. Wait for the call.
Continuous insight. Continuous presence.
Turn what you know into what you do
You built the equipment. You know the failure modes better than anyone. Connected machines let you put that expertise to work across your entire installed base — continuously, not just when something breaks. Proactive service backed by real data is a fundamentally different offering than break-fix support.
Stay in front of the competition
A competitor can match your specs and undercut your price. What they cannot replicate is the service relationship, the institutional knowledge of your customer's operations, and the data history you've accumulated from their machines. Every month of connected service deepens that moat.
Become irreplaceable
When your software, your data, and your service team are woven into how a customer runs their operation, switching you out isn't a procurement decision — it's a disruption to their business. That's not lock-in. That's genuine partnership, built one proactive touchpoint at a time.
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 moves you up the curve — at your pace, on your equipment, under your brand. Select a stage to see what it looks like and how Exosite helps you get to the next one.
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 — no rip-and-replace of your hardware. Get a unified view of your fleet inside ExoSense within weeks.
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.
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. Vibration is up, temperature is drifting, pressure is out of range — and the right person knows about it. Truck rolls drop. First-time-fix rates climb. Your customer feels a different kind of service relationship.
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 writing a backend.
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.
The system recommends the action.
Work orders, parts, and procedures generated automatically.
What it looks like
The system doesn't just predict — it 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 — opening the work order, confirming parts availability, scheduling the technician, and notifying the customer — without manual handoffs at each step.
How Exosite gets you here
Custom action functions integrate ExoSense conditions with your CMMS, ERP, ticketing, and parts systems. The insight functions layer becomes the decision engine — recommending actions, prioritizing the work queue, and closing the loop on outcomes.
As agentic AI models mature, Exosite's open pipeline architecture means you can wire in orchestration agents that act on conditions directly — turning a detected anomaly into a completed service dispatch with no human in the loop until 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 designed from the ground up to work as one solution. 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.
Murano
The secure, scalable backbone behind your connected product. Murano handles device identity and authentication, encrypted connectivity, OTA firmware updates, data ingestion, and storage — built to scale without re-architecting. Security is foundational. Available as managed cloud, managed dedicated cloud, or on-prem for air-gapped and compliance-sensitive environments.
ExoSense
White-label condition monitoring application with multi-tenant access, asset templates, dashboards, no-code rules, and customer-ready user roles. Deployable in weeks, not quarters.
Analytics, ML, & AI
Streaming analytics, anomaly detection, and machine learning run as configurable functions inside the data pipeline. Off-the-shelf to start; tune, extend, or replace with your own algorithms — or partner with Exosite's team to analyze your data and implement models specific to your equipment.
Exosite's team
For the Exosite's Team card, change description to "Bring our data science and engineering expertise to your project. We analyze your data, design ML algorithms, and work to build out Actions and leverage Agentic AI.
The right integration points.
For product teams looking to implement deep product knowledge into actionable results, the platform allows adding algorithms such as machine learning functions to run inside the same data pipeline that handles ingestion, transformation, and condition management. Start with off-the-shelf functions, tune it to your equipment, build multi-input models, or deploy your own algorithms — all as pipeline functions you control.
Telemetry flows from your edge devices through Murano into a streaming pipeline you configure in ExoSense. Insight functions are the building blocks — transformations, machine learning, and custom logic, all running 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.
Real-time processing, time-series storage, and a full historical data lake are included — not a separate purchase. 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, andon-prem / air-gappedfor 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.”
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.