Turn manufacturing design into analytics-ready data

Make Your P&IDs Executable
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The hunt for context is a familiar story: weeks spent decoding tags and reverse-engineering data models before critical analysis can even begin.

Your engineering designs are the blueprint for your data model. Asset Language makes that model executable, connecting your historian to platforms built for analytics and ML: Snowflake, Databricks, and AWS IoT SiteWise.

Make Your P&IDs the Organizing Principle

Asset Language transforms your P&IDs into executable data models. We automatically parse equipment hierarchies, tags, and process connections into a live semantic bridge translating raw sensor streams into queryable, business-ready data. No spreadsheet mapping tables to maintain.

Process experts enrich the model with validated domain knowledge. This gives data teams access to critical context without spreadsheet hunting or endless coordination meetings.

The result: Clean, analytics-ready data, structured by your plant's actual design, streamed directly to your cloud analytics platforms.

Asset Language data flow - Click to enlarge

An Executable Data Model for Your Plant

Query in Business Language

Query equipment directly, eliminating weeks of tag decoding and coordination.

Use business language like reactor.temperature instead of sensor tags designed for machine interfaces.

Automated Data Structuring

Make P&IDs the organizing principle. We automatically parse equipment hierarchies, tags, and process connections into a live semantic bridge translating raw sensor streams into queryable, business-ready data.

Eliminate the need to build and maintain brittle, spreadsheet-based mapping tables.

Maintain Governance

Version control for your P&IDs and sensor tags keeps your data infrastructure synchronized with plant floor reality as it evolves.

A full audit trail tracks all changes to your data model, providing a complete version history for compliance and consistency.

Seamless Cloud Integration

Deliver clean, contextualized, and analytics-ready data feeds directly to Snowflake, Databricks, and AWS IoT SiteWise.

No custom ETL pipelines required. Start building analytics models and dashboards in hours, not months.