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The Kernopy platform

Four parts. One system.
Built on your data.

Kernopy is the operating layer for industrial operations. Edge reads every machine. Core turns raw signals into one live plant model. Foundry puts dashboards, reports and AI on top. Studio lets you build your own screens. They are not separate products. They run together, on the same data.

From data to context to impact

How the four parts work together.

  1. 01Factory floorYour existing machines, controllers and sensors.
  2. 02EdgeReads every device. Live and bulk, on-premise, hybrid or cloud.
  3. 03Core and SpacesRaw tags become one unified, context-aware data model.
  4. 04FoundryDashboards, alerts, reports and Kernopy AI for your team.
  5. +StudioBuilds custom screens that show up in Foundry.
Walk inside

See each part at work.

Scroll to walk the floor, from the machines to the screens.

01Kernopy Edge

Plugs in where the machines are.

Reads every controller and sensor. Never loses a reading.

  • Any vendor
  • Offline-safe
  • Set up remotely
  • Live and bulk
02Kernopy Core

Every tag. One meaning.

Raw tags become one live model of your site.

  • Unified model
  • Spaces
  • Rules
  • Pipelines
03Kernopy Foundry

One live view of the plant.

Dashboards, alerts, reports and AI for your team.

  • Dashboards
  • Alerts
  • Kernopy AI
  • Reports
04Kernopy StudioSoon

Describe it. Get a dashboard.

Build your own screens. They show up in Foundry.

  • Drag and drop
  • Just ask
How it fits together

Three layers. Each with one job.

Capture gets data off physical assets. Processing checks, names and stores it. The application layer turns it into products people use. Change how you capture, and nothing above has to change.

DATAWRITE-BACKKERNOPY PLATFORM SCOPE03Kernopy FoundryApplications. Wherepeople and AI usethe data.02Kernopy CoreData hub. Connects,ingests, processes andchecks every data point.01Kernopy EdgePlant floor. Edgesystems, devices and themachines they run.Kernopy Intelligence Layerpredicts and prescribes from grounded dataKernopy Reporting Modulereports from telemetry and asset contextDashboardsconfig-driven, role-scoped viewsAppsmonitoring and MES on the plant floorProcessed Data Hubdata shaped by the pipelinesRule Enginescheck limits and raise alertsData Pipelinesclean, roll up, deriveRaw Data Hubevery reading as it arrivedData Ingestion Hubtakes in every stream and scheduled pullKernopy Connect Layersource connectors (REST, OData, SOAP, JSON-RPC, SQL) · scheduled pull and write-backLIVE STREAM · REST CATCH-UP AFTER OUTAGESWRITE-BACK WHERE SUPPORTEDEdge systemsKernopy Edge on an industrial PC or gateway · stores readings locally while offlineEdge devicesPLCs, controllers, gateways · Modbus TCP · OPC UAMachinesrobots, production lines, machine tools, process equipmentOperatorKernopy PlatformDATAWRITE-BACK03 Kernopy FoundryWhere people and AI use the data.02 Kernopy CoreThe data hub.01 Kernopy EdgeOn the plant floor.Intelligence Layerpredicts, prescribesReportingtelemetry + contextDashboardsrole-scoped viewsAppsmonitoring and MESProcessed data hubshaped by pipelinesRule engineslimits and alertsData pipelinesclean, roll up, deriveRaw data hubevery readingData ingestion hubstreams and scheduled pullsKernopy Connect LayerREST, OData, SOAP, JSON-RPC, SQL · write-backEdge systemsindustrial PC or gateway · works offlineEdge devicesPLCs, controllers · Modbus TCP · OPC UAMachineslines, machine tools, process equipmentwrite-back to machines always goes through the edge
The data model

Four systems call it four different things. Kernopy calls it one.

Assets, asset classes, canonical measures and spaces. A fuller model than a tag tree, built from the plant floor up.

40017 · Modbus holding register
AI-3/12 · BMS point
ns=2;s=CH2.Pwr · OPC UA
"CH2 kW" · column G, energy sheet
chiller_2.power_kwUnified
Asset
Chiller 2
Asset class
Water-cooled centrifugal chiller
Measure
Power, kW, every second
Space
Tower B › Plant room
Peers
Chiller 1, Chiller 3
Capabilities

Six capabilities behind the layer.

Everything Kernopy does traces back to one connected, ever-deepening data model.

Connectivity

PLCs, sensors and controllers from any vendor. Safe when offline.

Contextualisation

Raw tags become a live, asset-aware data model.

AI reasoning

Plain-language answers from your own live operation.

Predictive reliability

Alerts that catch failures before they stop the line.

Unified visibility

Every site and asset on one screen, with site autonomy.

Openness

Swap hardware, cloud or apps any time. Never locked in.

Where Kernopy fits

Not another dashboard. Not another data lake.

HistoriansIoT platformsAutomation OEMsKernopy
Connects any vendor, offline-safePartialNoPartialYes
Live asset-aware model, not raw tagsNoPartialPartialYes
AI with real domain expertiseNoGenericNoYes
Compliance from verified dataNoPartialNoYes
Cost falls with every siteNoNoNoYes

Everyone else sells you a tool. Kernopy is the layer they all sit on, reused across every use case.

Trust and deployment

Built for OT security
and your data residency.

Run it inside the plant, at the edge, or in the cloud. Same platform, same data model, your rules on where data lives.

Your plantEdgeYour serversNo outside linkApproved onlyCloudYour regionOther sites
On-premise

Fully air-gapped. Nothing leaves the plant network.

Data lives
Your plant network
Run by
Your team or ours
Internet
Not needed
Encrypted end to endIn transit and at rest
Changes with guardrailsApproved, checked and logged
Role-based accessSSO and full audit trail
Data residencyStays in your region