TwinEdge OS

TwinEdge OS for edge, cloud-connected, and offline industrial sites.

Run industrial DataOps and analytics close to equipment while supporting cloud-connected and offline modes. TwinEdge OS connects protocols, buffers telemetry, runs inference, serves local dashboards, dispatches alerts, and syncs data, model packages, and fleet status to TwinEdge Cloud when connected and approved.

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TwinEdge OS local operating loopConnect protocols, map tags, buffer data, run inference, serve dashboards, and sync only when approved.No-cloudOfflineSync OKINDUSTRIAL SITETWINEDGE OS RUNTIMELOCAL VALUESource accessplant protocols and filesOPC UAModbusMQTTSQLFilesRESTapproved edge hostDocker, Linux, Windowssite-local services stay available during outagesProtocoladaptersVisual tagmapperStore-forwardbufferML inferencelocal ONNXDashboardsite statusAlertslocal rulesOperatorslocal consoleSupportbundle exportCloud syncwhen approvedService stateCollector serviceRunningInference workerScoringSync channelPending approvalBUSINESS OUTCOMESNo-cloud evaluationprove value on site firstProtocol-rich sitesnormalize messy sourcesOffline resiliencekeep analytics runningGoverned expansionsync only what is allowedCONSOLE PROOFThe local console makes adapters, mapping, inference, and service state visible before cloud approval.Adapter catalogenabled protocol driversTag mapperbind tags to assetsInference panelmodel scores on edgeSite dashboardservices and healthDownloadable package first; gateway package when the site form factor requires it.

Protocols

Store-forward

Local inference

Dashboards

Alerts

Cloud sync

Local industrial intelligence for sites that need resilience close to equipment.

Platform in action

TwinEdge OS console for protocol access, dashboards, ML inference, and cloud sync

TwinEdge OS gives teams visible protocol adapters, local dashboards, ML inference controls, visual tag mapping, service state, offline resilience, and governed cloud sync close to equipment.

TwinEdge OS protocol adapter screenshot showing enabled industrial protocol adapters
Protocols

Protocol adapter console

TwinEdge OS exposes local protocol adapter configuration for edge, cloud-connected, and offline deployments.

TwinEdge OS dashboard screenshot showing local services, status, and asset cards
Local runtime

Local OS dashboard

The local console shows services, asset cards, protocol labels, and local operating status.

TwinEdge OS ML inference screenshot showing runtime health, scheduled inference settings, and loaded model inventory
ML inference

ML inference controls

Runtime controls show scheduled inference, service health, loaded models, inputs, outputs, and local model inventory.

TwinEdge OS visual tag mapper screenshot
Mapping

Visual tag mapper

Visual mapping helps bind source tags and industrial data into asset and namespace context.

Workflow

Local intelligence at the site

Connect industrial sources, build trusted context, govern recommendations, and turn approved decisions into operational work.

Connect protocols and sources

Use OPC UA, Modbus, MQTT, databases, files, and edge services to collect the data needed for local context.

Run locally when offline

Buffer data, run local workflows, serve dashboards, dispatch alerts, and generate support bundles even when cloud connectivity is unavailable.

Sync with cloud when connected

Move telemetry, metadata, model packages, and fleet status to TwinEdge Cloud based on the customer deployment model and approval policy.

Capabilities

TwinEdge OS capabilities

Downloadable edge deployment

Runs as software on supported Linux or container hosts, with gateway or Box packaging available when needed.

Local analytics and inference

Protocol access, storage, ONNX inference, dashboards, alerts, and offline-capable operation close to equipment.

Cloud coordination

Cloud-managed package updates, telemetry sync, model distribution, health checks, and support bundle export where allowed.

Engineering controls

Engineering controls for industrial AI.

TwinEdge can show real telemetry, local inference, protocol flows, and agent traces without claiming uncontrolled autonomy or SCADA replacement.

Read-only first

Physical writeback is disabled by default and recommendations pass through approval gates.

Replayable evidence

Plans, diffs, source context, and approval history remain available for review.

Deployment choice

Cloud-connected, local, and offline paths support evaluation without forcing one architecture.

Source system respect

TwinEdge works above SCADA, historians, CMMS, GIS, LIMS, ERP, and data lakes rather than pretending to replace them all.

Outcomes

Operational outcomes

Teams get the context, controls, and execution path needed to move from noisy industrial data to approved operational action.

Plant operations

Keep critical dashboards, alerts, and inference local while still sending data to cloud services when the site is connected.

OT and IT

Use a bounded software runtime without waiting on appliance procurement.

Enterprise teams

Standardize edge analytics across sites while using cloud visibility, fleet coordination, and governed sync where approved.

Connected platform

Extend the same context across the operating layer

DataOps Workbench creates the physics-aware, AI-ready context.

Agentic Analytics uses that context to explain, draft, and validate recommendations.

TwinEdge OS supports cloud-connected, offline, and protocol-rich edge deployments.

AssetOps EAM and Field close the loop from recommendation to evidence-backed work.

Water, wastewater, chemical, water loss, lab, and facility products package industry workflows.

REST and MCP data products make context available to enterprise applications and AI systems.

Evaluate TwinEdge

Plan your first TwinEdge workflow.

Review the operating model with our team, or download TwinEdge to evaluate the platform in your own environment.

Download TwinEdge OSRequest Edge Deployment Demo