For data teams at process manufacturers, the hunt for context is a familiar story: weeks spent decoding cryptic historian tags before any real analysis can begin. The irony is that all that context already exists in P&IDs. But data teams end up deriving new data models based on scattered documentation systems, manually maintained spreadsheets, and plant floor knowledge.

Your P&IDs are the source of truth for operations and the blueprint for your data model. Asset Language makes that blueprint executable. Our platform transforms P&IDs into queryable structures that connect your historian (like AVEVA PI System) to platforms built for analytics and ML: Snowflake, Databricks, and AWS IoT SiteWise.

With Asset Language, teams can:

🔹 Query in Business Language: Query equipment directly, eliminating weeks of tag decoding and coordination. Use business language like reactor.temperature instead of cryptic historian tags.

🔹 Automate Data Structuring: Make P&IDs the organizing principle. We automatically parse equipment hierarchies, tags, and process connections, creating a live semantic bridge that translates raw sensor streams into queryable, business-ready data. No spreadsheet mapping tables to maintain.

🔹 Stream to the Cloud: Deliver clean, analytics-ready data feeds directly to platforms built for high-value analytics and ML.

🔹 Maintain Governance: Version control for P&IDs and sensor tags keeps your data infrastructure synchronized with plant floor reality.

The data model you need already exists; it's documented in your P&IDs. We're building the bridge to make it executable. Visit our website to see how it works and request a demo.

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