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Symbolic domain nodes. One knowledge graph. Compounding reasoning.

Each module is a self-contained symbolic node, its own ontology, rules and connectors, that extends the same estate-wide graph. Start with one. Cross-domain questions become possible the moment you add the second.

Live

Net Zero Node

Monthly ESG packs derived from estate energy and visiting vessel activity, every figure traceable.

Ingests

  • Energy meters
  • Vessel arrival logs
  • Fuel & invoice data
  • Shore power records

Derives

  • Rule-derived Scope 1–3 reports
  • Symbolic anomaly alerts
  • Source-cited carbon answers

Typical users

ESG · HSEQ · Operations · Finance

Q2

Berthing & Marine Movements

Berth utilisation, turnaround and scheduling reasoned over a marine domain graph.

Ingests

  • VTS / AIS feeds
  • Berth schedules
  • Pilotage logs
  • Tug movements

Derives

  • Utilisation dashboards
  • Conflict early-warning rules
  • Monthly throughput packs

Typical users

Marine · Commercial · Operations

Q2

Energy & Utilities

Half-hourly load, spend and intensity modelled as a utilities knowledge layer.

Ingests

  • Half-hourly meter data
  • Utility invoices
  • Sub-meter feeds
  • Tariff schedules

Derives

  • Rule-based spike detection
  • Tenant recharge prep
  • Load vs. weather inference

Typical users

Estates · Finance

Q3

Security & Access Logs

Gate movements, contractor passes and incidents reasoned together, not just searched.

Ingests

  • Access control systems
  • CCTV event logs
  • Contractor inductions
  • Incident reports

Derives

  • Pattern rules with citations
  • Audit-ready logs
  • Personnel-on-site rollups

Typical users

Security · HSEQ · Operations

Q3

Asset & Maintenance

Cranes, fenders, lighting, with formal rules for criticality, spend and downtime impact.

Ingests

  • CMMS exports
  • Inspection sheets
  • PO & invoice data
  • Sensor telemetry

Derives

  • Rule-based failure-risk scoring
  • Spend per asset
  • Maintenance backlog

Typical users

Engineering · Finance

Q4

Finance & Commercial

Tariff vs. usage vs. invoice reconciled by symbolic rules, closed-loop revenue assurance.

Ingests

  • ERP / invoicing data
  • Tariff schedules
  • Customer agreements
  • Operational logs

Derives

  • Revenue-leak detection rules
  • Margin by customer
  • Auditable billing trails

Typical users

Commercial · Finance

How nodes compound

Each new node extends the graph. The platform stays the same.

Ontology, rules engine, neural interface and governance are shared. Adding a node means new entities, relationships and rules, not another tool for your team to learn.

  • Quarterly sprints, one symbolic node at a time
  • Shared ontology, role-based access and full derivation log
  • Zero incremental tooling overhead per node added
  • Cross-node questions answered through one query, with cited reasoning