Discuss a Pilot

Platform

One Platform, Private Where It Matters

Aktuara is a complete hybrid AI stack for plants: models, knowledge, connectors, governance and infrastructure, running in your own cloud or at your plant edge and operated for you on XePlatform.

Discuss a PilotAbout XePlatform

Four Layers, All Inside Your Infrastructure

Everything that touches confidential data runs in your account. Only public-only tasks you allow can reach a managed model.

WorkflowsWhat your teams use
IoT alertsPredictive maintenanceCamera visionDefect classificationChange summariesSOP Q&A
ModelsRight-sized per task
Small language modelsOpen LLMsVision and vision-language modelsTime-series modelsYour fine-tuned modelsManaged: Claude, GPT, Grok
KnowledgeSearched for every answer
SOPs and work instructionsFMEAs and drawingsMaintenance historyQuality recordsHistorian and IoT data (read-only)Camera video at the edge
InfrastructureYours, operated by us
Your cloud accountYour data centrePlant-edge GPU serversKubernetes on XePlatformObservability and backupStaged releases with rollback

How It Runs

Policy Check Before Every Model

Each request is classified before any model sees it. Process, design, IoT, video, quality and customer data always stay private; uncertain requests stay private too.

Edge Where Latency Matters

Vision and IoT workloads can run on GPU servers at the plant, close to lines and cells, so video never leaves the site and answers arrive in time to matter.

Read-Only to Your Plant Systems

Connectors to historians, MES, ERP, PLM, OPC UA and MQTT are read-only. Aktuara never writes to PLCs, robots or production systems.

Evaluation Gates on Every Release

A new model, prompt or setting goes live only after it passes tests on your own cases and your experts approve it. Rolling back is one step.

Capacity That Follows Your Shifts

GPU capacity scales with shift patterns and batch runs, and small models answer first, which keeps the cost of each answer low.

Open Standards, No Lock-In

Built on Kubernetes and open-source components. Your knowledge base, models, ratings and settings stay with you if you leave.

How a Change Reaches Your Plant

The same release discipline you apply to a controlled process change, applied to AI.

  1. DevelopChanges are built and tested in a separate environment.
  2. EvaluateAutomatic tests on your own cases and expert ratings.
  3. ApproveYour engineers and quality team sign off.
  4. StageRuns alongside production on real traffic.
  5. LiveGoes live, with one-step rollback.

See the Platform on Your Own Data

A supervised pilot sets up the full stack in your infrastructure within hours, and puts it in front of your engineers within weeks.

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