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AI data products

Make operating context available where teams work.

Publish shared industrial models through REST and MCP. Connect your applications and assistants to the equipment record behind the answer.

Connected through the TwinEdge platform
Context that reaches your applications01 / SYSTEM VIEW
EquipmentHistoryDocuments
TwinEdgeShared asset context
Digital twinsAI agentsApps + APIs
01Define02Connect03Authorize04Consume
The application receives a clear contract and traceable source context.
START WITHAsset + operating records
TWINEDGE CONNECTSContext that reaches your applications
MOVE FORWARD WITHApps · BI · AI assistants
THE WORKFLOW

Connect the source, the contract, and the consumer.

Model the source

Connect tags, records, and documents to asset identity.

Publish the contract

Define reusable data products and the access available to consumers.

Build the experience

Use the same context in applications, BI, and AI-assisted workflows.

FROM THE PRODUCT

See the work in context.

Select a screen to explore the workflow. Open it for a closer look.

01 / INSIDE TWINEDGE

APIs and MCP product workspace

The DataOps surface packages source context, graph bindings, standards, product metadata, and monitored publication paths before anything is exposed.

BUILT FOR THE OPERATION

The context your team needs.

Contracted product surfaces

Versioned schemas, profile-backed payloads, catalog metadata, and testable examples make the surface usable beyond one dashboard.

MCP tools for agents

Agent clients receive bounded operational context through read-only tools instead of direct source-system access.

Governance and observability

Approval state, auth boundaries, audit trails, monitor signals, and replay evidence stay attached to every product.

CONNECTED BY DESIGN

Fits the systems around it.

Keep source context available as the workflow moves between teams and applications.

One connected record.

AI data products

  • Enterprise applications consume REST products with cataloged schemas and tenant-scoped authorization.
  • AI agents consume MCP tools with bounded, display-safe operational context.
  • DataOps Workbench owns source readiness, standards, graph bindings, and publication review.
  • Agentic Analytics uses the same governed products to explain, draft, validate, and replay recommendations.
  • AssetOps EAM, Field, GIS, BI, and external systems reuse the same validated context.
  • Monitor and audit surfaces show client usage, product drift, test runs, and replay evidence.
START WITH YOUR OPERATION

Put the next decision in motion.

Discuss your sources, assets, and the outcomes your team wants to improve.

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