MeetCarbon AI

Energy-carbon AI
Decision engine

Foundation models + domain agents + harness, built for energy-carbon operations

Time-series models forecast and decompose; general models reason and explain. Solar / microgrid / building agents decide across cost, carbon and reliability. Atan is the unified entry; the harness holds tool bounds, approval and audit trail — nested in the operating loop.

Agent orchestrationTime-series × general modelsAtan as unified entryGovernable loop
Time-series foundation model
Load · price · output · emissions forecasts
General foundation model
Reasoning · explanation · report context
Domain agents
Solar · microgrid · building co-decision
Harness guardrails
Tool allow-list · approval · audit trail
AI Stack
Multi-layer intelligence stack
Shared permissions · orchestrable
L1Interaction entry
Atan
CompanionQ&ATask assistanceSidebar / floating entry
L2Domain agentsCost · carbon · reliability
Solar and green-power agent
Investment and abatement, evaluated together

Under irradiance, offtake constraints and grid-connection rules, fuse output forecasts with power-price and carbon-price signals to produce multi-scenario IRR and abatement per kWh — materials for plant expansion and green-power contract talks.

Siting and resource assessment

Combine satellite remote sensing, shading and available-site data to estimate installable capacity and annual generation bands, and flag the marginal effect on park carbon intensity and green-power share — so electricity is never calculated without carbon.

Harness
Microgrid and park agent
Coordinated operation and resilience

In source-grid-load-storage scenes, schedule charge/discharge and demand management on 15-minute-to-day rolling forecasts, balancing backup and peak–valley spreads; map dispatch results to carbon and bill dual metrics for operations reviews.

Capacity and asset-mix advice

Under load growth, distributed capacity and quota constraints, rank storage/PV expansion and give a rough investment band, explaining the path to purchased-power cost, green-power offtake rate and Scope 2 emissions.

Harness
Building and civic-facility agent
Load and carbon-intensity co-optimisation

Under time-of-use tariffs, comfort and indoor-environment standards, optimise HVAC, lighting and power time-of-use strategies; output executable setpoints or control sequences and estimate daily/weekly kWh savings and Scope 2 abatement.

Efficiency benchmarking and retrofit ranking

Normalise energy and carbon intensity by floor area, format and climate zone; find abnormal branches and retrofit candidates (heat-pump substitution, VFDs, group control) and produce a list roughly ranked by abatement cost for budget decisions.

Harness
L3Time-series foundation model

Forecasts for electricity, heat, gas and carbon-related quantities

Power-price and cost forecastsLoad and demand forecastsRenewable output forecastsEmissions and intensity outlook
L3General foundation model

Reasoning in energy-carbon domain knowledge and compliance context

Prompt engineeringAgent Q&AReasoning engineSafety and compliance engineering
L4Orchestration loopHarness control plane
01
Monitor
02
Strategy
03
Execute
04
Review
L5Capability base
Development managementAgent marketplaceTool marketplaceOperations managementOpen-platform managementSolarMicrogridBuildingTradingAccounting
Brand IP

Atan

For zero-carbon, talk to Atan.

Brand IP × unified agent entry · companion / Q&A / tasks

Open the topic
Atan brand image

Energy-carbon work: ask Atan. Personal work hub: MeetCore.

Atan is the unified zero-carbon entry on MeetCarbon Cloud and OS. MeetCore holds your materials, methods, rhythm and outcomes.

Harness

A governable operating loop

Tools, guardrails and orchestration, written into the control plane.

Foundation models are strong at understanding and generation; production needs a governable agent. The harness is the control plane around the agent: it defines which data and tools may be called, runs policy checks and trails on every iteration, and routes key actions through approval. Each of the three domain agents has its own topic page with the full operating loop and guardrails.

Open each agent's harness on the right

Capability Center

Mechanics · data · models

Mechanics, data and models each own a layer.

Agent development platform
Time-series foundation model
General foundation model

Agent development platform

Development managementAgent marketplaceTool marketplaceOperations managementOpen-platform management

Time-series foundation model

Forecasts for electricity, heat, gas and carbon-related quantities

Power-price and cost forecastsLoad and demand forecastsRenewable output forecastsEmissions and intensity outlook

General foundation model

Reasoning in energy-carbon domain knowledge and compliance context

Prompt engineeringAgent Q&AReasoning engineSafety and compliance engineering
Applications

Business-app coverage

Ship standalone, or compose industry solutions on MeetCarbon OS.

MeetCarbon OS
Smart microgrid / zero-carbon park
Source-grid-load-storage coordination and visible emissions
Low-carbon building platform
Itemised energy vs comfort-and-savings balance
Virtual power plant operations
Flexible-capacity aggregation and instruction fulfilment
Load aggregation platform
Demand response and interruptible-load dispatch
Power-trading decision support
Medium- and long-term plus spot portfolio assistance
Solar operations platform
Output monitoring and O&M work-order close-out
Storage operations platform
Charge/discharge strategy and life constraints
EV charging operations platform
Charging load and grid-friendly interaction

Intelligence hub · Multi-source ingest, time-series and model services, agent orchestration — an auditable base for apps and Atan.

Ask clearly, push it out

Book a demo, or start with Atan — the unified entry.