We build twins of enterprise networks — a Spatial Twin of what exists, a Synthetic Twin of what's planned, and a Kinetic Twin of what's happening. Together they give every stakeholder a shared frame of reference, and the substrate for AI-Ready Self-Advancing Networks.
A working representation of the network as it stands today — sites, topology, devices and the relationships between them. Navigable in a single shared workspace by anyone with permission.
A model of the network you're planning to build. Refreshes, migrations, redesigns and greenfield builds can be reasoned about before any hardware is committed.
The network in motion. Operational state and events are reflected in the same workspace, so the picture stays aligned with what's actually happening on the ground.
Our engineering team works across the major networking vendors. Mixed estates, brownfield environments and merger scenarios are treated consistently in the same workspace.
The workspace is the reference point. Every stakeholder sees the same picture — not their own copy of it.
The evidence auditors ask for — assets, segmentation, change history — is already attached to the picture.
The Synthetic Twin lets teams reason about future-state networks before committing budget, hardware or downtime.
When the impact of a change is visible to everyone, the meetings shrink. The right people are in the room.
The twin stays aligned with the network as it evolves — not as a one-time snapshot.
Engagements typically start small — a single environment or a focused scope — and expand as the value becomes visible. The detail of how we deliver is something we walk through directly.
We understand the estate, the goals and the constraints. We agree what success looks like.
The relevant twin — Spatial, Synthetic or Kinetic — is stood up for the agreed scope.
Engineering, leadership and stakeholders use the same workspace as their reference point.
The engagement extends to more of the estate, or to the next class of twin, as the team is ready.