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AI for SUSE Industrial Edge, built by an official SUSE partner

Your devices report constantly. Getting answers is still slow.

Most IoT teams have more telemetry than they can use. Device attributes rarely carry meaningful names, every new question needs a new dashboard, and failures are usually found when they happen.

Lytura sits alongside SUSE Industrial Edge and changes that. Ask about any device in plain language, chart live telemetry on request, and run predictive scenarios that flag risks before they become downtime. Your devices, workflows and data stay where they are.

Ask in plain language
Forecast failures early
No data migration
Example Ask Lytura conversation showing a pump pressure forecast

From telemetry to foresight

  • Ask – chat with your SUSE Industrial Edge application in plain language. Lytura queries live device state and history for you.
  • See – request a time-series chart and get it in the conversation, built from real readings. No dashboard required.
  • Foresee – run predictive scenarios on demand, or schedule them daily so risks surface before anyone asks.
  • Shape – Lytura Studio lets your admins map attributes, choose and train models, and decide exactly what the AI can see.
  1. Connect your application. Link a SUSE Industrial Edge application to Lytura Studio. Lytura reads devices and telemetry through the platform’s MCP server, using its own authentication.
  2. Map what your data means. Give raw attributes real names and units once (A1 → Temperature °C, A2 → Pressure psi). Every answer, chart and model then speaks your language.
  3. Train, predict, ask. Pick a scenario template, train its model on the attributes that matter, and run it on demand or on a schedule.

Two parts, one platform

Ask Lytura is the chat assistant for operators and engineers. Lytura Studio is the admin portal where you connect applications, map attributes, train models, build scenario templates and review an audit log of every training run.

Devices to SUSE Industrial Edge MCP server to Lytura, serving Ask Lytura and Lytura Studio
  • Manufacturing – “Which presses on Line 3 show rising bearing temperature?”
  • Energy & utilities – “Forecast load on Substation 12 for tomorrow’s peak.”
  • Smart buildings – “Where are we heating empty rooms this week?”
  • Fleet & remote assets – “Which engines show abnormal fuel use for their load?”

Lytura runs on Microsoft Azure and is built and supported by Skylytics, an official SUSE Industrial Edge partner.