Lytura adds conversational AI and predictive analytics to your SUSE Industrial Edge applications. Ask about any device in plain language, chart live telemetry on request, and catch failures before they happen.
Discharge pressure on Pump 4 has fallen from 71 to 64 psi over the last 7 days while RPM held steady. The Cavitation Risk model forecasts it crossing the 60 psi threshold in about 2 days.
Most IoT teams have more telemetry than they can use. The data is there; turning it into decisions still depends on dashboards, workflows and specialists.
Device attributes rarely carry meaningful names, so only the people who built the application can read them.
A new question means a new chart, a new workflow, or a request to the one person who knows how.
Predictive maintenance usually means a separate data-science project that never quite ships.
Chat with your SUSE Industrial Edge application in plain language. Lytura queries live device state and history for you.
Request a time-series chart and get it in the conversation, built from real readings. No dashboard required.
Run predictive scenarios on demand, or schedule them daily so risks surface before anyone asks.
Lytura Studio lets your admins map attributes, choose and train models, and decide exactly what the AI can see.
Lytura sits alongside SUSE Industrial Edge. Your devices, workflows and data stay where they are.
Link a SUSE Industrial Edge application to Lytura Studio. Lytura reads devices and telemetry through the platform’s MCP server, using its own authentication.
Give raw attributes real names and units once. Every answer, chart and model then speaks your language.
Pick a scenario template, train its model on the attributes that matter, and run it on demand or on a schedule. Your team starts asking questions the same day.
The chat assistant that lives inside your SUSE Industrial Edge application.
The admin portal where you configure, train and govern Lytura.
Spot equipment drifting out of spec and plan maintenance around production, not breakdowns.
Anticipate load, pump and generator stress across remote, distributed assets.
Match HVAC and lighting to occupancy and catch freeze or mould conditions early.
Find fuel waste, oil-pressure anomalies and thermal stress before a unit fails in the field.
Lytura works through the SUSE Industrial Edge MCP server, inside the application your team already uses.
No migration and no new IoT platform. Lytura reads what it needs, when it needs it, with the platform’s own authentication.
Models trained on your devices’ own history, with scenarios that run on a schedule even when nobody is asking.
Decide which applications, devices, attributes and models Lytura can use, with a full audit trail.
Attribute mapping gives every user the same clear names and units: Temperature in °C, not A1.
Built and supported by an official SUSE Industrial Edge partner with years of IoT delivery experience.
No. Lytura connects to your existing application through the SUSE Industrial Edge MCP server and reads devices and telemetry in place.
No. Scenario templates define the sensors, thresholds and logic. Your admins choose a template, pick the device, and train the model from Lytura Studio.
Yes. Any active scenario can run on demand from the chat, or on a schedule such as once a day, so risks are flagged without anyone asking.
Lytura runs on Microsoft Azure. Contact us to discuss regional hosting and data residency requirements.
Yes. As an official SUSE Industrial Edge partner, Skylytics builds and deploys IoT applications on the platform and can add Lytura from day one.
Book a 30-minute demo. We’ll connect to a SUSE Industrial Edge application and show Ask Lytura and Lytura Studio working on real telemetry.
300 Innovative Way, Suite 2355
Nashua,
New Hampshire 03062
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