ATPCarbon domain intelligence
Interprets enterprise questions, classifies activities, retrieves relevant knowledge and decides which method, tool or agent should handle the task.
AI for Green Industry · Available now
ATPCarbon combines domain-specific AI, deterministic carbon calculations and task-executing agents to help enterprises collect emissions data, understand Scope 1, 2 and 3, and move from reporting to mitigation, adaptation and finance-ready transition planning.
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The problem
ATPCarbon provides the probabilistic reasoning layer that interprets context, classifies data, retrieves applicable methods and orchestrates the next action. Its knowledge architecture is designed around curated public sources, licensed datasets and governed private operational data.
The architecture supports retrieval, evaluation and model-development workflows across these source classes. ATP does not claim that every listed corpus has already completed fine-tuning or that every methodology applies universally.
ATPCarbon connects domain intelligence to KENE — The Sovereign AI Factory — and to a controlled stack of calculation services, versioned emission factors, APIs and specialised agents.
The probabilistic layer interprets, classifies, explains and coordinates. Deterministic engines apply defined methods to structured inputs. Observability can record the data source, factor, methodology version, input and execution context to support traceability and assurance preparation.
Interpret → Route → Calculate → Record → Explain → Act
Interprets enterprise questions, classifies activities, retrieves relevant knowledge and decides which method, tool or agent should handle the task.
Provides ATP's strategic inference infrastructure and a controlled environment for model routing, policy enforcement, service execution and observability.
Calculation engines, data connectors and task-executing agents perform defined steps across collection, validation, classification, calculation, evidence structuring and reporting support.
Core system rule
The model does not invent the number. It decides which governed method, data and tool should produce it.
Professional judgement, organisational controls and independent assurance remain outside the model. ATPCarbon supports those processes through structured evidence and traceability.
Carbon Expert combines ATPCarbon's conversational domain layer with deterministic workflow steps for data collection, validation, classification, emissions calculation and MRV support.
Operational boundary: the system accelerates specialist work and evidence preparation. It does not replace independent verification, certification or professional responsibility.
Bring activity data, factors, methodologies and Scope 1, 2 and 3 results into a structured view of the enterprise baseline and its evidence.
Identify emissions hotspots, evaluate interventions and connect climate-risk context to mitigation, adaptation and resilience planning.
Structure transition information, evidence and scenarios for management decisions, regulatory workflows and Green Finance readiness — without promising funding or asset issuance.
Domain intelligence for carbon specialists and enterprise climate teams, developed with AFRY. It connects conversational analysis to deterministic workflow steps and Carbon Meter configurations.
A specialised mobility application using the ATPCarbon architecture to structure commuting data, calculate relevant Scope 3 mobility emissions and support mobility-plan diagnostics and measures for the Spanish market.
ATPCarbon is designed to help teams structure data, methods, calculation context and evidence. Verification, certification, legal conclusions and financing decisions remain with qualified professionals and authorised institutions.
Enterprise engagement
Discuss an enterprise emissions, industrial decarbonization, mobility or Green Finance readiness use case with Amazonia Tech Partners.