Edge Intelligence Platform

Energy visibility and control for Buildings Worldwide

Ambient Context is an on-premises edge platform that delivers circuit-level visibility, predictive asset health, and grid-ready control across commercial, industrial, and residential sites.

All data and inference remain on site. No cloud dependency. Enterprise-grade security posture.

Residential systems from $1,495 + $39/month. Commercial and Industrial sized to site. Free assessment for commercial and industrial orders.

Outcomes

Measurable impact across cost, uptime, and resilience

Ranges reflect projected outcomes from comparable deployments and internal modelling. Actuals are site-dependent and quantified during pilot.

15–35%
Reduction in energy cost
< 12 months
Typical payback period
Weeks
Lead time on asset failure detection
100% on-site
Data processing and inference
Multi-retailer
Tariff scenario modelling
Real-time
Scenario analysis for procurement

Context

Energy is a material cost centre — and one of the least instrumented

Across commercial and industrial portfolios, energy represents up to a third of operating cost. Price volatility, ageing infrastructure, and fragmented sub-metering leave organisations without the evidence base required for optimisation, compliance, or grid participation.

The opportunity is not cheaper power. It is measurable visibility and deterministic control.

Solutions

One platform. Three operating environments.

Commercial buildings

Circuit-level visibility across HVAC, lighting, and plant. Continuous optimisation against tariff and occupancy.

  • Identify waste across HVAC, lighting, and major loads
  • Reduce peak demand charges
  • Detect asset degradation weeks before failure
  • Extend asset lifespan
  • On-site processing; no data egress
Commercial solutions

Industrial and infrastructure

High-frequency electrical signature analysis exposes mechanical and electrical faults long before conventional condition monitoring detects them.

  • Detect bearing wear, insulation breakdown, imbalance
  • Identify phase imbalance and harmonic distortion in situ
  • Surface degradation weeks before failure
  • No per-machine sensor deployment required
  • Uptime-first, safety-first operation
Industrial solutions

Residential and smart homes

Optimise solar, storage, and automation integrations. Grid-ready, privacy-preserving, locally processed.

  • Maximise solar self-consumption
  • Optimise battery dispatch
  • VPP and demand-response readiness
  • Integrates with KNX and Control4
  • Early fault detection on fixed circuits
Residential solutions

Platform

A single edge platform, four intelligence layers

A dedicated on-premises device capturing high-frequency electrical data, processing inference locally, and integrating with existing BMS, SCADA, and automation systems.

Electrical intelligence (NILM)

Non-intrusive load monitoring identifies individual loads by electrical signature, without per-device sensors.

Behavioural modelling

Time-of-use, occupancy, and seasonal patterns inform optimisation and forecasting.

Digital twin and grid integration

Coordinated control of solar, storage, and flexible loads for demand response and distributed flexibility.

Predictive and prescriptive AI

Fault-signature models detect degradation ahead of failure and recommend intervention windows.

Predictive Asset Health

Detect failure conditions before they become outages

Continuous electrical signature analysis exposes degradation modes that condition monitoring and scheduled inspections routinely miss.

  • Early detection of abnormal electrical signatures
  • Degradation trending weeks ahead of failure
  • Prevention of thermal runaway and cascade faults
  • Roadmap: automated controlled shutdown on critical faults

Energy Strategy

Quantify before you invest. Optimise after you deploy.

Roadmap capability.

Pre-investment

Model before committing capital

  • Simulate retail tariffs across providers
  • Forecast demand under operational scenarios
  • Model ROI for solar, wind, and storage
  • Avoid over- or under-sized capital deployment

Post-deployment

Continuously re-optimise operations

  • Continuously optimise procurement against live load
  • Adapt to tariff, weather, and demand shifts
  • Surface new savings opportunities over time
  • Measure, verify, and report savings

Market Context — ANZ

Scale of the addressable opportunity

Commercial and industrial building stock across Australia and New Zealand. Figures are indicative market estimates.

$36B+
Combined annual electricity spend
900M+ m²
Commercial floor area
25%+
Of total grid electricity consumed by commercial sector
20–30%
Typical energy waste in commercial buildings

Projected Outcomes by Environment

Indicative performance envelopes

Ranges are projected based on comparable deployments and internal modelling. Pilot engagements produce site-specific baselines.

Public sector

Council and municipal

Portfolio-wide visibility, centralised reporting, and cost reduction for ratepayer-funded facilities.

15–25%
Projected cost reduction
Commercial

Office and corporate

Operating-cost control with predictive maintenance and demand management.

20–35%
Projected cost reduction
Industrial

Manufacturing

Asset protection through electrical signature analysis and degradation detection.

Significant
Reduction in emergency repairs
Residential

Solar and smart homes

Solar self-consumption, battery optimisation, and VPP readiness.

15–30%
Projected cost reduction

Security and Privacy Posture

Built for critical and regulated environments

Rapid deployment

Installed at the main or sub-distribution board with minimal disruption to operations.

No data egress

All captured data and inference remain on site. No cloud processing required.

No cloud dependency

Continues operating without internet connectivity. Optional secure sync.

Enterprise-grade security

Designed against critical-infrastructure cyber-security practice (IEC 62443 alignment).

Grid Participation

From cost centre to revenue asset

Aggregate behind-the-meter flexibility into programmes that monetise it.

Demand response

Monetise dispatchable flexibility via network and retailer programmes.

VPP participation

Aggregate site-level storage and loads into Virtual Power Plants.

Grid stabilisation

Contribute to frequency and voltage stability through distributed control.

Standards and Compliance

Built against critical-infrastructure standards

Product, process, and operational posture aligned with:

IEC 62443
Industrial cyber-security
ISO/IEC 27001
Information security management
AS/NZS 3000
Electrical installation standards
NIST CSF
Risk management framework

Alignment statement. Formal certifications progressing on published roadmap.

About

The intelligence layer for energy

Ambient Context builds the edge intelligence layer that sits between electrical infrastructure, operational systems, and the grid — delivering deterministic visibility and control without introducing cloud dependency or data-egress risk.

About the company

Quantify the opportunity for your site

Pilot engagements produce a site-specific baseline for energy, uptime, and grid-revenue opportunity. Typical pilot length is 8–12 weeks.