AI360: Build and deploy industrial AI agents on your own graph in days.
Agents in days, not months
AI360 · agent builder
Deployed
UniGraph
Agent
EAM sync
HAZOP prep
MoC package
Drag-and-drop, grounded on your graph
Days, not months
Why it wins
Purpose-built for engineering data, not generic AI, so AI360 produces structured, trusted output instead of another silo.
01
Cut AI project time from months to days.
02
Higher-impact automation by sitting directly on UniGraph.
03
Faster expansion of AI use-cases through pre-built agents and integrations.
04
Safer, auditable AI via human-in-the-loop workflows.
Capabilities
Drag-and-drop agent builder
Compose agents visually from data, model, logic, and action blocks. Non-specialists ship agents without a bespoke pipeline for every use-case.
Grounded on your graph
Native integration with UniGraph means agents reason on verified, connected plant data instead of hallucinating from loose documents.
Hundreds of pre-built integrations
Connectors to common EAM, CMMS, historian, and engineering systems, plus a PlantGraph connector, so agents read and write where work already happens.
Bring your own taxonomy
Start from templates for MoC, HAZOP prep, data sync, and more, then customize, so new use-cases expand fast.
Human-in-the-loop and auditable
Route agent outputs for review and approval, with a full audit trail of every action, so automation stays safe in critical work.
Fully managed deployment
Automated, fully-managed deployment and scaling, with an SDK and API for custom workflows and tailored user interfaces.
How it works
AI360, step by step
01
Pick a use-case
Start from a template such as MoC, HAZOP prep, or EAM/CMMS data sync.
02
Compose
Drag data, model, logic, and action blocks; ground the agent on UniGraph.
03
Connect
Wire pre-built integrations to your EAM, CMMS, historian, and engineering systems.
04
Deploy
Ship to managed production with human-in-the-loop review and a full audit trail.
Outcomes & integrations
Proven results, on the systems you already run.
Days
Not months to deploy
50%+
Efficiency across eng, ops, safety
100s
Pre-built integrations
HITL
Reviewed and auditable
Works with
UniGraph / PlantGraph
EAM
CMMS
SDK / API
Historians
A UK-based EPC uses AI360 to accelerate oil & gas risk-based inspection, safety, and compliance work.
Who uses it
Digital transformation teams
Ship agents in days without a data science backlog.
Process and safety engineers
Automate document-heavy prep work on trusted data.
IT and OT teams
Governed, integrated deployment into existing plant systems.
FAQ
Do I need data scientists to build agents on AI360?
No. AI360 is a drag-and-drop, low-code platform. Engineering and digital teams compose agents visually on your existing graph, so most use-cases ship in days without a bespoke data science project.
What grounds the agents so they are accurate?
Agents run natively on the UniGraph asset knowledge graph, so they reason on verified, connected plant data with human-in-the-loop review and a full audit trail, not on loose documents.
How fast can we deploy, and how do we scale use-cases?
Days, not months. Teams start from pre-built agent templates, connect hundreds of pre-built integrations, and deploy to fully-managed production, then reuse components to expand use-cases quickly.
