UniGraph: Unify P&IDs, datasheets, and records into one living asset knowledge graph.
10x retrieval, 80% less hunting
Why it wins
Purpose-built for engineering data, not generic AI, so UniGraph produces structured, trusted output instead of another silo.
01
10x faster information retrieval: shorter downtime and faster projects.
02
Single source of truth: all assets, documents, and relationships as one plant knowledge graph.
03
Scales with complexity: a warehouse built for TB to PB data with best-in-class traversal queries.
04
Bring your own taxonomy: the graph adapts to your taxonomy and reduces integration time.
Capabilities
One living asset graph
Every tag, equipment item, line, datasheet, and document linked into a single queryable model of the plant, not scattered files and spreadsheets.
Continuous sync, no drift
The graph and your system of record stay current together as drawings and records change, so nothing quietly falls out of date.
Unifies your existing systems
Ingests from the CAD, EAM, CMMS, historian, and document systems you already run, and hundreds of document layouts and formats. Your tools are inputs, not a rip-and-replace.
Bring your own taxonomy
he graph structure adapts to your taxonomy, and AI agents shape it to match how your teams already organize assets, cutting integration time.
Graph algorithms for analytics
Run graph traversal, root-cause analysis, analytics, and reporting on connected asset data, with best-in-class query performance.
Open API and TB to PB scale
REST APIs and client libraries in popular languages, on a distributed graph engine built to onboard large plants with terabytes to petabytes of data.
How it works
UniGraph, step by step
01
Connect sources
Ingest digitized drawings from Convert plus data from your existing systems of record.
02
Resolve
Tags, equipment, and hierarchies are matched, de-duplicated, and linked to your taxonomy.
03
Sync
The graph and system of record are kept continuously current as the plant changes.
04
Serve
Engineers and agents query one connected model through the app, graph algorithms, and open API.
Outcomes & integrations
Proven results, on the systems you already run.
Faster retrieval
Less manual hunting
Data at scale
To stand up
Works with
SmartPlant
Aveva
AutoCAD
EAM
CMMS
Historians
A Houston oil & gas major runs UniGraph as the data foundation for its digital twin and operator AI co-pilot, delivering 60%+ efficiency improvements.
Who uses it
Reliability engineers
Find every document and relationship for an asset in seconds.
Digital transformation leaders
One trusted data foundation instead of parallel data programs.
Enterprise architects
An open, owned asset data layer that feeds every downstream system.
FAQ
What is an asset knowledge graph?
It is a connected model of every asset, tag, line, and document in a plant and the relationships between them, so engineers and AI agents can query the plant as one structured whole instead of searching scattered files.
Does UniGraph replace my existing systems?
No. UniGraph unifies data from the CAD, EAM, CMMS, historian, and document systems you already run. Those tools are inputs; UniGraph is the connected, owned data layer on top, kept in sync with them.
How much faster is data retrieval, and at what scale?
Teams retrieve connected asset data about 10x faster and spend roughly 80% less time manually hunting, on a distributed graph engine built for terabyte to petabyte plants with best-in-class traversal performance.
Can the graph match our taxonomy?
Yes. UniGraph is bring-your-own-taxonomy. The graph structure adapts to how your teams organize assets, which reduces integration time and keeps the model intuitive to query.
