Machine data, finally a service business.
Your machines already produce data at customer sites worldwide. We turn it into a data foundation, hosted in your cloud or ours: the base for service dashboards, customer reporting, and the digital solutions you build on top. Built once, reused across your whole fleet.
Your machines at customer sites worldwide, already producing data.
We build on the layer you already run, without touching router or device config.
One clean, governed data warehouse, structured once. The foundation every report, portal and future use case builds on.
Service dashboards, a customer portal, alerts, and the apps you build on top.
Trusted by machine builders and manufacturers.
Having data isn't the same as knowing what to measure.
Your machines stream hundreds of signals from the field. The hard part is knowing which of them actually tell you something.
So we start with the decision, not the data: what do you want to decide, and what's worth measuring to support it.
Which machines underperform, and why?
Where is service effort spent without return?
Are we meeting the uptime customers expect?
Which parts will fail before the next service?
How we work in your fleet.
It starts with a Quick Scan to scope the work. From there, four steps take you from machine data to a working service operation, and you decide which we run and which stay with your team.
Connect to your existing connectivity layer
We integrate with your existing connectivity layer, such as IXON, Secomea, gateways or direct OPC UA / MQTT. Router and device configuration stays with your existing partner. We don't touch it.
Build the data layer where your fleet data lives
A structured data layer in Azure that turns raw signals into clean, reusable fleet data (Medallion: Bronze, Silver, Gold). Hosted in your tenant or ours, depending on your data residency and compliance needs.
Build the reports your service team uses
Power BI semantic model and dashboards per role. Embeddable in a white-label customer portal if you offer fleet visibility to your own end customers.
Hand over or keep running, your choice
After delivery: a managed service with SLA, or full knowledge transfer to your own team. No lock-in, no proprietary layer you can't reach.
See the full technical breakdown of each step on what we build →
Three modules. One foundation.
Built once on a Medallion architecture, deployed across your entire fleet. Each module can be started independently and expanded over time.
One central place where you and your customers see how every deployed machine performs. OEE, uptime and alarms, comparable across the entire fleet.
Discover Fleet Performance →A white-label dashboard for your customers. Their data, your brand, your service proposition. Becomes part of how you sell to the next customer.
Discover Customer Service Portal →See wear before it becomes downtime. Each component's run-hours are tracked against its expected life, so you know which parts are near replacement, and the system links that straight to your stock: what to order, and when, before the next planned stop. Rules-based on run-hours and replacement history, no black box. Your service team decides.
Discover Service Intelligence →Three focus sectors.
The sectors where we have the deepest proof and reusable building blocks today. We work across other industrial sectors too, on the same foundation.
Packaging
Primary and secondary packaging machine builders. End-of-line, case-packing, palletising, wrapping.
Discover the packaging approach →Food processing
Equipment builders serving dairy, meat, beverage and prepared foods. Hygienic design, traceability, line analytics.
Discover the food processing approach →Energy & power systems
OEMs building fuel cells, electrolyzers, battery storage, CHP and industrial generators. Performance, longevity and service KPIs.
Discover the energy approach →
The data was always there. Making it usable was the hard part.
Across industrial data projects, the same pattern kept showing up. The telemetry was there and the first dashboards existed, but service engineers still drove to the wrong machine, and product management kept asking for field data that never arrived in usable form.
We built StriData to fix exactly that for OEMs. Not a generic BI engagement, but a reusable data foundation for service revenue, customer uptime and aftermarket insight, on top of your existing connectivity stack. Your team stays in control, and your fleet starts paying back.
What this looks like in practice.
From 1,500 machines in 40 countries to one analytics layer.
TMI's end-of-line packaging systems run at customer sites worldwide, all connected through IXON. StriData built a reusable IXON-to-Power BI layer, so every customer gets real-time machine dashboards without rebuilding the analytics for each site.
“We are very grateful for the partnership with StriData and their willingness to ensure the customer's needs. They offer excellent service, always with a good attitude.”
Oriol Miarnau · Automation Engineer, TMI
Read the TMI case →
Official IXON partner for Azure and Power BI integration.
IXON Cloud welcomed StriData as a Technology Alliance Partner. Our Power BI connector lets IXON users analyse live and historical machine data in their own environment, no programming required, with consultancy for Azure and AWS integration on top.
“The partnership with StriData offers even more flexibility towards machine builders with Azure and Power BI to easily analyse and enrich global machine data within their existing environment.”
Pieter van Lith · Director of Partnerships, IXON
Read the announcement →Questions OEMs ask us.
Which connectivity platforms do you work with?
We connect to the standard industrial connectivity platforms. Which ones are relevant for your fleet, we determine in the Quick Scan. Our own scope is the data foundation, analytics and the decision layer on top. We do not handle router or device-template configuration.
How does this compare to the reporting in our connectivity platform today?
The reporting in your connectivity platform shows data per machine and per customer. We build the layer above that: cross-customer fleet steering, your own branded customer portal, and predictive interventions that go beyond standard reports. Not a replacement, an additional layer for what those platforms by design do not.
How many machines do we need to make this worthwhile?
In practice it makes sense from the moment you want to compare across customers rather than report per customer. That typically starts at a few dozen connected machines and becomes truly compelling beyond one hundred.
How does the engagement work?
Quick Scan as the entry point (short, fixed-price exploration). Optionally an Architecture Scan for deeper roadmap work. Then a phased build of the foundation and first module. After go-live, an ongoing managed service with SLA, or full handover to your team.
Can you connect the Customer Service Portal to our CRM?
Yes. The portal can be linked to your service and CRM systems, so open tickets, contracts and SLA status are visible alongside the machine data. We define this scope during implementation.
What if we already have a data platform on Azure?
We build on top of it, rather than introducing a second layer. The Quick Scan establishes what's there, what's usable and what's missing.
Ready to make your machine data work harder?
Machine data, finally a service business.
Your machines already produce data at customer sites worldwide. We turn it into a data foundation, hosted in your cloud or ours: the base for service dashboards, customer reporting, and the digital solutions you build on top. Built once, reused across your whole fleet.
Your machines at customer sites worldwide, already producing data.
We build on the layer you already run, without touching router or device config.
One clean, governed data warehouse, structured once. The foundation every report, portal and future use case builds on.
Service dashboards, a customer portal, alerts, and the apps you build on top.
Trusted by machine builders and manufacturers.
Having data isn't the same as knowing what to measure.
Your machines stream hundreds of signals from the field. The hard part is knowing which of them actually tell you something.
So we start with the decision, not the data: what do you want to decide, and what's worth measuring to support it.
Which machines underperform, and why?
Where is service effort spent without return?
Are we meeting the uptime customers expect?
Which parts will fail before the next service?
How we work in your fleet.
It starts with a Quick Scan to scope the work. From there, four steps take you from machine data to a working service operation, and you decide which we run and which stay with your team.
Connect to your existing connectivity layer
We integrate with your existing connectivity layer, such as IXON, Secomea, gateways or direct OPC UA / MQTT. Router and device configuration stays with your existing partner. We don't touch it.
Build the data layer where your fleet data lives
A structured data layer in Azure that turns raw signals into clean, reusable fleet data (Medallion: Bronze, Silver, Gold). Hosted in your tenant or ours, depending on your data residency and compliance needs.
Build the reports your service team uses
Power BI semantic model and dashboards per role. Embeddable in a white-label customer portal if you offer fleet visibility to your own end customers.
Hand over or keep running, your choice
After delivery: a managed service with SLA, or full knowledge transfer to your own team. No lock-in, no proprietary layer you can't reach.
See the full technical breakdown of each step on what we build →
Three modules. One foundation.
Built once on a Medallion architecture, deployed across your entire fleet. Each module can be started independently and expanded over time.
One central place where you and your customers see how every deployed machine performs. OEE, uptime and alarms, comparable across the entire fleet.
Discover Fleet Performance →A white-label dashboard for your customers. Their data, your brand, your service proposition. Becomes part of how you sell to the next customer.
Discover Customer Service Portal →See wear before it becomes downtime. Each component's run-hours are tracked against its expected life, so you know which parts are near replacement, and the system links that straight to your stock: what to order, and when, before the next planned stop. Rules-based on run-hours and replacement history, no black box. Your service team decides.
Discover Service Intelligence →Three focus sectors.
The sectors where we have the deepest proof and reusable building blocks today. We work across other industrial sectors too, on the same foundation.
Packaging
Primary and secondary packaging machine builders. End-of-line, case-packing, palletising, wrapping.
Discover the packaging approach →Food processing
Equipment builders serving dairy, meat, beverage and prepared foods. Hygienic design, traceability, line analytics.
Discover the food processing approach →Energy & power systems
OEMs building fuel cells, electrolyzers, battery storage, CHP and industrial generators. Performance, longevity and service KPIs.
Discover the energy approach →The data was always there. Making it usable was the hard part.
Across industrial data projects, the same pattern kept showing up. The telemetry was there and the first dashboards existed, but service engineers still drove to the wrong machine, and product management kept asking for field data that never arrived in usable form.
We built StriData to fix exactly that for OEMs. Not a generic BI engagement, but a reusable data foundation for service revenue, customer uptime and aftermarket insight, on top of your existing connectivity stack. Your team stays in control, and your fleet starts paying back.
What this looks like in practice.
From 1,500 machines in 40 countries to one analytics layer.
TMI's end-of-line packaging systems run at customer sites worldwide, all connected through IXON. StriData built a reusable IXON-to-Power BI layer, so every customer gets real-time machine dashboards without rebuilding the analytics for each site.
“We are very grateful for the partnership with StriData and their willingness to ensure the customer's needs. They offer excellent service, always with a good attitude.”
Oriol Miarnau · Automation Engineer, TMI
Read the TMI case →Official IXON partner for Azure and Power BI integration.
IXON Cloud welcomed StriData as a Technology Alliance Partner. Our Power BI connector lets IXON users analyse live and historical machine data in their own environment, no programming required, with consultancy for Azure and AWS integration on top.
“The partnership with StriData offers even more flexibility towards machine builders with Azure and Power BI to easily analyse and enrich global machine data within their existing environment.”
Pieter van Lith · Director of Partnerships, IXON
Read the announcement →Questions OEMs ask us.
Which connectivity platforms do you work with?
We connect to the standard industrial connectivity platforms. Which ones are relevant for your fleet, we determine in the Quick Scan. Our own scope is the data foundation, analytics and the decision layer on top. We do not handle router or device-template configuration.
How does this compare to the reporting in our connectivity platform today?
The reporting in your connectivity platform shows data per machine and per customer. We build the layer above that: cross-customer fleet steering, your own branded customer portal, and predictive interventions that go beyond standard reports. Not a replacement, an additional layer for what those platforms by design do not.
How many machines do we need to make this worthwhile?
In practice it makes sense from the moment you want to compare across customers rather than report per customer. That typically starts at a few dozen connected machines and becomes truly compelling beyond one hundred.
How does the engagement work?
Quick Scan as the entry point (short, fixed-price exploration). Optionally an Architecture Scan for deeper roadmap work. Then a phased build of the foundation and first module. After go-live, an ongoing managed service with SLA, or full handover to your team.
Can you connect the Customer Service Portal to our CRM?
Yes. The portal can be linked to your service and CRM systems, so open tickets, contracts and SLA status are visible alongside the machine data. We define this scope during implementation.
What if we already have a data platform on Azure?
We build on top of it, rather than introducing a second layer. The Quick Scan establishes what's there, what's usable and what's missing.