From Digital Twin to AgentiQ Twin.
An AgentiQ Twin extends the digital twin into a live operating layer — where spatial context, data, workflows and intelligent agents work together. NexEarth helps organisations move there from disconnected dashboards and AI tools.
See what matters. Understand what changed. Decide what happens next.
questions
?01What is happening now?
Live state across every site, asset and process — pulled from the systems that already know.
?02What changed?
The deltas the operator cares about surfaced before the dashboard refreshes itself.
?03Where is the risk?
Spatial context layered onto the operating data — a place, not a row in a table.
?04What needs attention first?
Prioritised by role, by exposure, by what is already in motion. Not by alert volume.
?05What evidence supports the decision?
The trail behind every recommendation — sources, history, scope of the agents that touched it.
?06What action should happen next?
Governed, scoped, reversible. The twin proposes; the operator decides.
difference
without nexearth
with nexearth
Static views
Live context
Disconnected dashboards
Role-based intelligence
Manual interpretation
AI-supported decisions
Fragmented tools
Governed workflows
Slow escalation
Faster operational movement
capabilities
Five layers a NexEarth twin holds at once.
L05Governance & Controlz=400Human accountability, audit trails, permissions, review points and the operating rules that keep the layers above honest.
L04Operational Orchestrationz=300Tasks, approvals, escalations, alerts and workflow triggers, routed through the operating model.
L03Role-Based Agentsz=200AI agents that explain, summarise, investigate, prioritise and prepare action — scoped to the role that needs them.
L02Data Intelligencez=100Business data, performance indicators, events, history and source evidence — joined to the spatial layer.
L01Spatial Contextz=000Maps, models, scans, scenes, assets, zones and the operating environment a twin holds in place.
why
What makes NexEarth the partner for this work.
W01Deep spatial and reality-capture experience
We started in the physical world. Place is in the platform, not bolted on.
W02Business-first, not technology-first delivery
We work the operating problem before we name the tool. The tool is the answer, not the question.
W03Governance before scale
Audit trails, scoped permissions and reversibility ship in v1. Not added when something breaks.
journey
From AI readiness to operational intelligence.
km0.0AI Fundamentals
Leadership alignment, governance literacy, and the readiness baseline. Most clients start here. The work is naming what AI can and can't do for the business — before any of it gets bought.
km1.5Data & Process Foundation
Workflow mapping, data inventory, KPI clarity and integration priorities. The operating environment is described before any twin is built.
km3.2Applied AI Enablement
Assistants and knowledge tools that produce measurable wins. AI starts working inside specific workflows, not as a horizontal capability.
km5.0Operational AI Orchestration
Governed workflows, approvals, automation and cross-system action. The operator gets a layer that proposes and routes; humans still decide.
km7.4AgentiQ Twin
A live decision layer combining data, place, process, agents and governance into one operating surface. The destination — but only after the layers above are sound.
team
The people behind the model.
T01
Wayne Jacobs
co-founder · ceo
T02
Craig Smith
co-founder · ctio
T03
Norman Banks
geospatial · surveying
T04
Craig Driver
business · development
T05
Willem Cornelissen
geospatial · innovation