Telemetry ingestion
Carbon Collect
Connect the environment.
Bring telemetry from SCADA, meters, controllers, OT equipment, databases, and field devices into one intelligence architecture.
The CarbonDex Platform
One architecture.
From telemetry to action.
From telemetry to action.
Connect the environment, trust its history, understand its state, and put the right context in front of the operator.
ONE APPLICATION OF THE PLATFORM
Shown below: CarbonDex applied to
distributed solar and storage.
This is a concept mockup of a single application. CarbonDex is not a solar controller. It is an operational-intelligence platform for any environment where connected assets, dependencies, and telemetry shape operational outcomes. The architecture stays the same; what changes is the systems it connects.
FROM TELEMETRY TO OPERATOR DECISION
Five layers.
One decision path.
Each layer hands the next one something it can trust. CarbonUI is where that work becomes operator context.
MORE THAN A DASHBOARD
Monitoring shows
what is happening.
CarbonDex helps operators understand what changed, why it matters, and what may happen next.
Monitoring viewCarbonDex view
Inverter 4 temperature: +12.4% vs. baselineCooling degradation developing at Site 07, Inverter 4
Conversion efficiency: −4.1%A contributing signal to the same condition
Status: within limits, no alarmPotential impact in 4h 20m, at 87% confidence
Next step: left to the operatorInvestigation path to the evidence and dependencies
Carbon Sentinel relates telemetry to system state and dependencies, so a temperature drift and an efficiency loss read as one developing condition with a potential consequence, not two unrelated alarms.
Values shown come from the solar-and-storage concept mockup above, with demonstration data. They do not represent customer production data.
CARBON SENTINEL High
CONDITIONSITE 07 / INVERTER 4
Inverter cooling degradation
Correlated signals indicate an emerging thermal condition. No static threshold has been crossed.
TIME TO POTENTIAL IMPACT4h 20m
CONFIDENCE87%
CONTRIBUTING SIGNALS
- +12.4%Temperature drift
- −4.1%Conversion efficiency
POTENTIAL IMPACT
Reduced generation could increase battery demand and shorten critical-load endurance at Site 07.
INVESTIGATIONInvestigate condition
Prototype interface · Demonstration data, not customer data
CARBON INSIGHTS
Ask the operation.
Carbon Insights lets operators investigate infrastructure in natural language while keeping the underlying evidence, telemetry, historical context, and system relationships in view.
CARBON INSIGHTSILLUSTRATIVE EXAMPLE
RESPONSE
Why is Site 07 the highest near-term operational risk?
Inverter 4 shows a cooling-related temperature drift alongside falling conversion efficiency. Lower generation is increasing battery draw while critical demand holds steady, shortening projected endurance.
EVIDENCE USED- Inverter 4 temperature · +12.4%
- Conversion efficiency · −4.1%
- Battery discharge rate
- Site 07 dependency map
Demonstration data, not customer data
NOT A GENERIC CHATBOTResponses are grounded in CarbonDex's operational context, and each one shows the evidence it relies on so the operator can check it.
Secure communication
Carbon Mesh
Move information securely.
Connect distributed endpoints and services through a communication layer designed for encrypted transport, traceability, and resilient edge-to-platform communication.
Trusted operational history
Carbon DB
Trust the history.
Maintain authenticated operational records and auditable history, so operators can reason about how conditions evolved.
Predictive intelligence
Carbon Sentinel
Understand what is developing.
Analyze system state, asset relationships, and changing operating conditions to surface degradation and potential failure states.
Operator decision interface
CarbonUI
Make an informed decision.
Bring asset state, operational timelines, risk context, and recommended investigation together for the operator.
DISTRIBUTED BY DESIGN
Intelligence where
the system operates.
Local context matters when a central connection becomes uncertain.
CarbonDex is designed for distributed and edge-capable operation across commodity edge computers, local infrastructure, embedded systems, and OEM integration paths.
Deployment design should account for available compute, data volume, connectivity, latency, data sensitivity, and operator requirements. Local intelligence can support resilience without assuming every dependency is independent of external systems.
A system-of-systems view.
Follow an operational condition from the equipment that generates it to the mission that depends on it.
01
Asset
Changing equipment behavior
02
Local system
Connected dependencies
03
Site
Availability and resources
04
Multi-site
Distributed capacity
05
Mission
Operational requirements
THE NEXT OPERATIONAL ADVANTAGE
Understand the system.
Before the next critical event.
Your infrastructure already produces the data.
The next step is understanding what it means.