About
Ambient Context sits between electrical infrastructure, operational systems, and the grid — delivering deterministic on-premises visibility and control, without introducing cloud dependency or data-egress risk.
Mission
Every site generates operational data that, applied correctly, reduces cost, extends asset life, and unlocks distributed flexibility. Ambient Context makes that data actionable at the edge — without forcing cloud dependency, hardware lock-in, or a rip-and-replace of existing systems.
Works with existing solar, storage, inverter, BMS, and automation systems — regardless of vendor.
On-site inference. Privacy by default. Real-time responsiveness without cloud round-trips.
Single site to multi-site portfolio. Monitoring-only to full control-loop engagement.
Vision
Integrated with KNX, Control4, BACnet, Modbus, and BMS platforms, the platform exercises deterministic control within engineered bounds — shifting high-use loads, coordinating solar and storage, and responding to grid signals automatically.
Optimise consumption, maximise generation asset value, and coordinate automation with energy outcomes.
Contribute to grid stability through demand response and Virtual Power Plant programmes.
Product development aligned with Australian and New Zealand regulatory frameworks for demand response and DER.
Approach
Local inference. Privacy by default. Operation continues without internet.
Compatibility with KNX, Control4, BACnet, Modbus, MQTT, and BMS platforms — not replacement.
Certified installer and integrator network. Quality assurance through shared standards.
Designed for facility managers, engineers, and operators — minimal cognitive load for daily use.
Privacy and Data Posture
Operational data stays under customer control. Optional cloud services are available — never required for core function.
Values
Intelligence that protects rather than exploits. Data sovereignty by default.
Local processing means predictable latency and reliable operation — including in degraded network conditions.
We succeed when partners and customers succeed. Shared standards, shared quality.
Technology that reduces waste, extends asset life, and optimises resources.
Team
Built by specialists in machine learning, non-intrusive load monitoring, energy systems, and building automation.
Load identification, signature recognition, and edge-inference optimisation.
KNX, Control4, BACnet, Modbus, and commercial automation at depth.
Interfaces designed for operators — minimal cognitive overhead for daily operation.
Pilot engagements quantify site-specific outcomes. Typical duration 8–12 weeks.