Melbourne AI Hub energy lane

Building intelligence for real rooms, not slide decks.

Dexvron turns energy monitoring, building data, and AI-assisted operations into a practical control layer for high-performance workplaces, labs, and community spaces.

Explore the system Open Command Centre

Hub Energy Loop Prototype

Load42.8 kW

HVAC Drift-7%

Anomalies2

Comfort91%

Mock dashboard data until hardware/API access is connected. The first implementation target is the MAH dev environment.

Platform

Four practical loops

Energy Visibility

Live dashboards for load, cost, time-of-use patterns, and equipment behaviour.

Anomaly Detection

Flag unusual consumption, stuck systems, refrigeration drift, and after-hours waste.

Smart Building Ops

Translate messy building signals into plain-English actions for operators and founders.

AI Workflows

Use Hermes and the Command Centre to turn reviews into scoped dev-site changes.

MAH Pilot

Start with the Hub as the showcase.

Dexvron sits inside the Melbourne AI Hub collaboration stack. The current build is git-backed on the MAH server, reviewed from the Command Centre, and updated through Hermes under founder approval.

Separate Dexvron git workspace on the MAH server
Dev review through the Command Centre canvas
Hermes-safe edit prompt for scoped changes
DNS/certificate step still required before public HTTPS launch

Roadmap

Next useful milestones

1Ship the Dexvron static foundation and command-centre preview.

2Connect the MAH energy-lane content and proposal PDFs.

3Replace mock metrics with hardware/API feeds when access is ready.

4Promote the public hostname after DNS and TLS are aligned.