Renewable energy used
+4.2% simulated trendRENEWABLE ENERGY INTELLIGENCE / MELBOURNE
Make clean energy
infrastructure work as one.
We build optimisation software and energy intelligence for EV charging, solar, battery storage and connected infrastructure—helping organisations reduce costs, manage constraints and deliver measurable ESG outcomes.
RENEWABLE UTILISATION71%
Illustrative system model
SITE OPTIMISATION ACTIVE
- Assets
- 24
- Fleet ready
- 94%
- Carbon
- 418 g/kWh
37.8136° S144.9631° EMELBOURNE / AU
ILLUSTRATIVE SYSTEM MODEL
RENEWABLE UTILISATION71%
GRID IMPORT428 kW
PEAK AVOIDED124 kW
FLEET READY96%
ILLUSTRATIVE SYSTEM MODEL01Vendor-neutral energy architecture02EV + solar + storage coordination03Cloud and edge deployment04ESG data provenance05Australian energy context
01 / THE SYSTEMS PROBLEM
The energy transition will not be delivered by assets operating in isolation.
EV chargers, vehicles, solar, batteries, buildings and the grid must be coordinated as one operational energy system—with decisions that remain measurable and explainable.
DISCONNECTED ASSETSUNMANAGED ENERGY
- Peak demand exposure
- Solar curtailment
- Fragmented ESG data
COORDINATED SYSTEMMEASURED OUTCOMES
- Dynamic energy dispatch
- Higher renewable use
- Traceable performance data
02 / INTEGRATED ENERGY SOLUTIONS
Intelligence across energy, mobility and infrastructure.
We do not sell chargers, solar panels or batteries. We connect assets, establish a common data and control layer, and optimise how energy is produced, stored and consumed.
01 / EVALLOCATE / 428 kW
Smart EV Charging
Schedule charging against tariffs, carbon intensity, site capacity, vehicle energy need and departure constraints.
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02 / ENERGYSOLAR / 78% USE
Renewable Energy Orchestration
Coordinate solar, storage, building load, grid imports and EV charging behind the meter.
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03 / ENERGYBESS / 64% SoC
Battery Storage Optimisation
Model charge, discharge and reserve decisions against site, tariff and battery constraints.
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04 / EVREADY / 23:40
Fleet Electrification Intelligence
Connect routes, duty cycles, vehicle SoC and energy constraints into an operational transition plan.
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05 / ENERGYPORTFOLIO / 12
Distributed Energy Management
Create portfolio visibility and coordinated dispatch across sites and asset types.
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06 / DATAFORECAST / 24H
Energy Forecasting & Analytics
Forecast load, solar, EV demand, peak exposure and future infrastructure utilisation.
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03 / OPTIMISATION ENGINE
One intelligence layer. Multiple operational and sustainability objectives.
The engine reads asset state, tariffs, carbon intensity, forecasts and operating needs; respects physical constraints; then returns a feasible energy dispatch plan.
INPUTS
SoC · solar · tariff · carbon · demand→CONSTRAINTS
Grid · battery · time · compatibility→OUTPUTS
Dispatch · schedule · alerts · evidence
SoC · solar · tariff · carbon · demand→CONSTRAINTS
Grid · battery · time · compatibility→OUTPUTS
Dispatch · schedule · alerts · evidence
SIMULATION OBJECTIVE
Inputs and outputs are simulated. A real implementation uses project-specific operational data, constraints and emissions factors.
24-HOUR ENERGY ALLOCATIONSIMULATED DATA
FLEET READY97%
MANAGED PEAK426 kW
RENEWABLE USE71%
CARBON INDEX44 / 100
04 / RENEWABLES + STORAGE
Coordinate energy behind the meter.
Solar forecasts, battery state, building demand and fleet requirements become one decision problem—not separate dashboards.
07:00SOLAR RISING
Prioritise building demand and flexible vehicle charging.
12:30EXCESS GENERATION
Increase self-consumption and charge storage within limits.
17:45PEAK TARIFF
Dispatch storage and defer non-urgent charging.
23:00FLEET RECOVERY
Schedule vehicles against SoC and departure deadlines.
Potential battery and renewable value depends on tariff structure, site load, asset specification and operating requirements.
05 / ENERGY DATA ARCHITECTURE
From physical assets to operational and ESG decisions.
A reporting-ready architecture starts with reliable asset data, clear calculation boundaries and traceable transformation logic.
05Reporting outputs
Dashboards · site reports · portfolio exports · audit trails · APIs · board summaries
04ESG metrics
Renewable percentage · Scope 1/2 indicators · energy intensity · utilisation · efficiency
03Intelligence layer
Validation · baselines · forecasting · optimisation · emissions calculations · attribution
02Operational data
Consumption · sessions · generation · battery flows · kilometres · imports · equipment state
01Physical assets
EV chargers · vehicles · solar PV · battery storage · smart meters · buildings
06 / ESG INTELLIGENCE
From energy data to measurable ESG outcomes.
Many organisations invest in charging, solar and storage but cannot clearly quantify the effect. We connect operating data to energy, emissions and infrastructure metrics—while keeping assumptions and limitations visible.
DEMONSTRATION DASHBOARDRegional portfolio Data model active · simulated
Vehicle readiness
Departure target trackedEstimated operational emissions
Modelled · not assuredIllustrative availability
+1.1% simulated trendENERGY SOURCE MIX24-HOUR PROFILE
GridRenewableBattery
DATA COVERAGE91%
Sources connected
GRID ENERGY AVOIDED*118 MWh
BATTERY CONTRIBUTION*18%
EV FLEET*62%
DATA COMPLETENESS*91%
Demonstration dashboard using simulated data. Carbon results are modelled, not assured. Method, boundaries, factor sources and reporting period must be defined for each project.
SUPPORTSESG data collection · measurement · reporting workflows · customer-selected framework mappingDOES NOT CLAIMAssurance · statutory disclosure completion · guaranteed compliance · independent audit
Explore ESG intelligence ↗07 / OPERATING CONTEXTS
Different organisations measure different outcomes.
Fleet Decarbonisation
Electrification must protect routes and operating continuity while capacity remains constrained.
- DATA
- SoC · routes · fuel baseline · tariffs · carbon factors
- OBJECTIVE
- Maximise readiness and track fuel displacement
Public Transport
High-energy vehicles must recover charge inside short layovers while energy costs vary.
- DATA
- Blocks · dwell time · depot load · renewable supply
- OBJECTIVE
- Protect service availability and energy performance
Commercial Property ESG
Solar, charging, storage and buildings operate separately across a property portfolio.
- DATA
- Tenant load · common areas · sessions · solar · storage
- OBJECTIVE
- Coordinate energy and create reporting-ready attribution
Industrial & Logistics Sites
Production load, fleets, solar and storage compete for limited electrical capacity.
- DATA
- Process load · duty cycles · asset state · grid limits
- OBJECTIVE
- Preserve operational priorities while reducing peaks
Councils & Government
Public projects must demonstrate technical feasibility, funding efficiency and environmental impact.
- DATA
- Utilisation · cost · energy source · emissions assumptions
- OBJECTIVE
- Create transparent performance and impact evidence
Universities & Hospitals
Critical operations, estate energy and transport electrification require resilient coordination.
- DATA
- Campus load · critical circuits · fleet · tariffs
- OBJECTIVE
- Improve energy use without compromising service
08 / BUSINESS + SUSTAINABILITY VALUE
ESG begins with how infrastructure is designed, operated and measured.
Operational performance and sustainability performance belong in the same system. Explore a transparent, rounded capacity example.
CHARGERS28
CHARGER POWER22 kW
INDICATIVE CAPACITY EFFECT
- Unmanaged peak
- 616 kW
- Managed peak
- 388 kW
- Deferred capacity
- ~228 kW
09 / STAKEHOLDER VIEWS
One evidence base. Different decisions.
01
Operations
Reliability · cost · capacity · downtime · fleet readiness
02
Energy
Tariffs · peak demand · solar use · battery dispatch · grid constraints
03
Sustainability
Emissions · renewable percentage · ESG evidence · decarbonisation progress
04
Finance
Capital allocation · avoided upgrades · operating savings · asset utilisation
05
Executive & board
Risk · net-zero progress · portfolio performance · reporting readiness
10 / ENGAGEMENT
A technology partner, not an equipment catalogue.
Algorithm modules
Add scheduling, forecasting, pricing, carbon or fault-analysis capability to an existing platform.
API & integration
Connect charging, renewable assets, energy systems and enterprise software.
White-label platform
A configurable energy and infrastructure control layer for manufacturers, CPOs and energy businesses.
Custom R&D
Models, proof-of-concept simulations and technical validation for complex energy transition use cases.
Technical advisory
Capacity analysis, energy baselines, data architecture and evidence-based transition roadmaps.
Managed intelligence
Ongoing monitoring, model tuning, anomaly detection and operational or ESG analysis.
Services do not replace statutory electrical design, carbon assurance, legal compliance advice or independent ESG verification.
11 / METHOD
From infrastructure problem to measured performance.
1
Discover
Stakeholders, system mapping and constraint definition
2
Baseline
Energy, fuel, grid dependency, emissions assumptions and data quality
3
Model
Load profiles, asset behaviour, vehicle needs and cost structure
4
Simulate
Scenario comparison, peak analysis and operational stress testing
5
Integrate
Protocol mapping, data pipelines and control interfaces
6
Validate
Back-testing, controlled pilots and fail-safe testing
7
Deploy
Cloud or edge deployment, monitoring and documentation
8
Measure
Cost, energy, reliability, carbon and ESG KPI comparison
9
Optimise
Performance review, recalibration and expansion planning
12 / CONCEPT STUDIES
Evidence starts with a boundary and a baseline.
These examples demonstrate project structures, not reported customer outcomes.
Concept study12 SITES*
Commercial Energy & ESG Portfolio
Coordinating solar, storage, building demand and EV charging while structuring traceable site and portfolio metrics.
- OPERATIONS
- Peak demand · asset utilisation · uptime
- SUSTAINABILITY
- Renewable use · grid reduction · energy intensity
Concept study3 SCENARIOS
Electric Fleet Decarbonisation
Modelling routes, SoC, fuel baseline, charging capacity, tariffs and operational emissions across a staged transition.
- OPERATIONS
- Fleet readiness · charging capacity · energy cost
- SUSTAINABILITY
- Fuel displacement · modelled emissions · transition progress
Concept study24H MODEL
Solar, Storage & EV Hub
Testing coordinated control of solar generation, battery storage, building load and charging demand.
- OPERATIONS
- Managed peak · battery dispatch · infrastructure capacity
- SUSTAINABILITY
- Solar self-use · grid energy avoided · emissions estimate
13 / INTEROPERABILITY + GOVERNANCE
Connected infrastructure needs controlled data.
Interoperability by design
Architecture can support OCPP, OCPI, ISO 15118 readiness, REST APIs, Modbus, smart meters, BMS, telematics and sustainability data exports—subject to project compatibility.
OCPPOCPIBMSRESTMODBUSEDGEESG API
Data governance
Device identity, calculation boundaries, emissions factor provenance, access controls, audit logs and change history can be aligned with customer governance and reporting workflows.
Supports reporting readiness; no assurance or certification claim is made.14 / RESEARCH
Research that can cross into energy operations.
Production capabilityMulti-objective energy optimisation
Pilot-readyModel predictive control
Pilot-readyForecasting under uncertainty
Production capabilityFleet schedule optimisation
Pilot-readyEnergy and infrastructure digital twins
Pilot-readyCharger anomaly detection
Research directionCarbon-aware dispatch
Research directionBattery degradation-aware scheduling
15 / INSIGHTS
Clear thinking for the energy transition.
Infrastructure that performs today
and supports tomorrow.
Whether you are deploying EV charging, integrating renewable energy, electrifying a fleet or improving ESG data, we can help turn disconnected assets into an intelligent energy system.