Domain intelligence for climate, forestry and industry

The intelligence layer for
the global bioeconomy.

Amazonia Tech Partners builds domain-specific AI on governed data and controlled infrastructure for green industry, forestry, nature intelligence and climate finance.

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Decarbonization intelligenceATPCarbon Forestry intelligenceTOMI AI Private AI and domain intelligenceDigital Brain - Infinite Loop

The Intelligence Gap

Thesis

The global bioeconomy does not lack data. It lacks domain intelligence.

Climate, forestry and natural-asset data is fragmented across operational systems, scientific institutions, satellite platforms, field teams and regulatory frameworks. Turning that data into decisions requires more than a general-purpose model. It requires intelligence built around the language, methods and constraints of each domain.

ATP connects domain knowledge, operational data, specialized AI and controlled inference to help organizations move from raw information to decisions they can implement.

Data → Domain knowledge → Operational decisions

Three Strategic Pillars

Routing

01 · AI for Green Industry

Domain intelligence for industrial decarbonization, executive climate-risk decisions and green finance.

ATP develops climate software and domain-specific AI for organizations turning emissions data, climate obligations and financial exposure into operational and executive decisions. The Green Industry portfolio supports carbon accounting, decarbonization planning, regulatory reporting, supplier engagement and sustainable-finance workflows for enterprise teams, boards, financial institutions, lenders, climate-risk teams and green-finance actors.

ATPCarbon · Available now Carbon Expert · Available now GRID · Cross-pillar program under structuring

02 · AI for Nature & Climate Economy

Domain intelligence for commercial forestry, native tropical forests and climate-resilient nature-based value chains.

ATP combines scientifically curated knowledge, forest and soil inventories, operational data, remote sensing, climate data and field observations to build AI systems for commercial forestry and native tropical forests. Across current and developing initiatives, the portfolio addresses Eucalyptus and Corymbia forestry, soil organic carbon, forest logistics, MRV, mitigation, adaptation and resilience, climate and natural-asset intelligence, and decision support for local communities and nature-based value chains.

TOMI AI Forestry · Q1 2027 TOMI Native Forest AI · Consortium initiative under structuring OLEA AI · Consortium initiative under structuring

03 · AI for Sovereign Projects

Strategic AI programs for institutions that require control over data, models and inference.

ATP structures sovereign projects where data governance, jurisdiction and controlled deployment are strategic requirements. Digital Brain - Infinite Loop combines private inference, specialized models, sourced knowledge and supervised agents to connect business data to operational decisions. Scope, capacity and residency are defined for each project.

Product Portfolio

Registry

01ATPCarbonCarbon intelligence for operational decarbonization.AI for Green IndustryAvailable now

ATPCarbon helps organizations measure emissions, structure carbon data and turn climate obligations into practical decarbonization decisions.

ATPCarbon brings Scope 1, Scope 2 and Scope 3 data into a structured carbon-management workflow. It supports emissions calculation, source and emission-factor traceability, regulatory reporting, decarbonization scenarios and supplier engagement — connecting operational data with the methods used by sustainability teams, consultants and financial institutions.

Scope 1, 2 and 3 carbon accounting
Emissions calculation and data structuring
Source and emission-factor traceability
Climate and regulatory reporting workflows
Decarbonization scenario planning
Supplier data collection and engagement
Applications for sustainable and green finance

Explore ATPCarbon →

02Digital Brain - Infinite LoopPrivate AI that understands your business.AI for Sovereign ProjectsAvailable now

Digital Brain - Infinite Loop brings private AI into the processes that drive business results.

The offering brings together private infrastructure, integrations, operations, specialized models and controlled evolution. The service combines private inference, knowledge retrieval with sources, operational memory and supervised agents. Each project starts with a defined process, authorized data and measurable KPIs; deployment, capacity, residency and service levels are agreed by scope. Model adaptation and data reuse require specific authorization.

Private inference and governed deployment
Knowledge retrieval with sources and operational memory
Supervised agents and prioritized business integrations
Versioned models, evaluations and approved evolution
Controlled pilots with baselines and measurable KPIs

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03Carbon ExpertAI for carbon specialists and enterprise climate teams.AI for Green IndustryAvailable now

Developed with AFRY, the global Swedish engineering and consulting group, Carbon Expert brings domain intelligence to complex carbon value-chain operations.

Carbon Expert combines a domain-specific conversational layer with deterministic workflow steps for data collection, validation, classification, emissions calculation and MRV. It helps carbon specialists and enterprise climate teams interrogate Scope 3 data, identify supplier hotspots, interpret regulations, model scenarios, analyse documents and prepare traceable evidence — accelerating delivery while keeping technical judgement under professional oversight.

Conversational collection and analysis of carbon data
Deterministic collection, validation, classification, calculation and MRV workflows
Scope 3 supplier and value-chain analysis
Emissions calculations with versioned factors and documented methodology
Regulatory and methodological interpretation
Scenario modelling and reduction-opportunity analysis
Document and evidence analysis
Structured baselines and emissions-hotspot identification
Support for assurance preparation and enterprise carbon-management delivery

Explore Carbon Expert →

04TOMI AI ForestryDomain-specific AI for industrial forestry.AI for Nature & Climate EconomyAvailable Q1 2027

TOMI AI Forestry transforms forest, operational and scientific data into intelligence for silvicultural planning and field decisions.

Developed with the forestry sector and scientific partners SIF and UFV, TOMI AI Forestry combines forest inventory, silvicultural prescriptions, growth and yield modelling, remote sensing and field knowledge. Its development is supported by non-reimbursable innovation funding from Brazilian programmes operated by EMBRAPII and Sebrae. The system is designed to support planning, monitoring, anomaly detection, MRV and technical decision-making across the forestry operation.

Forest inventory intelligence
Silvicultural planning and prescriptions
Growth and yield modelling
Satellite, LiDAR and field-data integration
Forest monitoring and anomaly detection
MRV automation
Decision support for forestry teams
Biomass and carbon-stock analysis

Explore TOMI AI Forestry →

05TOMI Native Forest AIDomain intelligence for native forests.AI for Nature & Climate EconomyConsortium initiative under structuring

TOMI Native Forest AI is being developed to connect ecological knowledge, field observations and remote sensing across native forest systems.

TOMI Native Forest AI is a domain-specific intelligence system for native forests, biodiversity and natural assets. Its development scope brings together tree-species knowledge, biomass and carbon-stock data, biodiversity indicators, satellite imagery and ground observations to support forest understanding, monitoring, conservation and restoration.

Native forest knowledge systems
Tree-species and ecological information
Biomass and carbon-stock intelligence
Biodiversity indicators
Satellite imagery and remote sensing
Ground observations and sensor data
Conservation and restoration decision support
Natural-asset monitoring

Follow TOMI Native Forest AI →

06OLEA AISovereign AI for climate-resilient olive production.AI for Nature & Climate EconomyConsortium initiative under structuring

OLEA AI is a consortium initiative under structuring to help the European olive sector respond to drought, water stress, pests, soil degradation and fragmented technical knowledge.

OLEA AI is being structured as a consortium initiative combining an olive-domain knowledge model, specialized AI agents, agronomic and climate data, satellite information and IoT integration. Its proposed scope supports irrigation, pest management, soil health, carbon and sustainability, production forecasting and field decision-making across olive cooperatives and value chains. Proposed consortium members must not be presented as confirmed until participation is documented.

Olive-domain knowledge model
Agronomy and crop-management agents
Irrigation and water optimization
Pest and disease intelligence
Soil-health monitoring
Climate-risk analysis
Carbon and sustainability workflows
Satellite, IoT and field-data integration
Production, market and logistics intelligence

Explore OLEA AI →

07GRIDFrom industrial climate risk to financeable transition projects.Cross-pillar / AI for Green IndustryProgram under structuring

Green Industry program enabled by ATP domain intelligence and sovereign infrastructure.

Green Resilience and Industrial Decarbonization. GRID is ATP’s program framework for helping industrial and service companies turn emissions, climate and nature risk, regulatory readiness and operational needs into mitigation, adaptation and resilience projects prepared for blended finance.

GRID combines business mobilization, Scope 1, 2 and 3 inventories, physical and transition-risk assessment, IFRS S1/S2–CBPS readiness, applied R&D, transition planning, project preparation, blended finance, implementation and MRV. The proposed first phase focuses on Brazil’s North Region and is designed for later regional replication. Existing technology from ATP and AFRY provides the operational infrastructure; the program’s primary objective is measurable transformation in companies, industrial sites and governance.

Mobilization and company selection
Climate-industrial diagnosis and regulatory readiness
Emissions inventories and physical and transition-risk assessment
Applied R&D and industrial challenges
Mitigation, adaptation and resilience plans
Business cases and financeable-project preparation
Blended-finance structuring
Implementation, MRV and independent verification
IFRS S1/S2–CBPS and Green Governance frameworks for boards

Discuss the GRID program →

Three Strategic Assets

Assets

Decarbonization intelligence

ATPCarbon

From emissions data to operational decarbonization.

ATPCarbon is ATP’s commercial entry point into Green Industry. It structures carbon data, supports emissions management and creates the intelligence foundation for climate reporting, decarbonization and green-finance applications.

Forestry intelligence

TOMI AI

From forest data to domain intelligence.

TOMI AI is ATP’s forestry intelligence family. It translates scientific, operational and field knowledge into systems for planted forests, native forests and natural assets — creating a reusable domain architecture for the bioeconomy.

Private AI and domain intelligence

Digital Brain - Infinite Loop

Intelligence that evolves with your business.

Digital Brain - Infinite Loop combines private AI infrastructure, operations and specialized intelligence. It connects authorized business data, knowledge, models and supervised agents, with traceability and approved model evolution. Outcomes are validated through controlled pilots, not guaranteed ROI claims.

Authorized data → Specialized models → Supervised agents → Validated evolution

How ATP Builds Domain Intelligence

Architecture

The ATP Architecture

Built around the domain. Connected to the real world.

ATP does not begin with a general-purpose model and search for a use case. It begins with a domain problem, structures the knowledge and data required to solve it, and builds the models, agents and infrastructure around that context.

Domain knowledge

Scientific literature, regulations, technical methods and operational expertise establish the knowledge base for each system.

Operational and environmental data

Enterprise systems, forest inventories, satellite imagery, field observations, sensors and IoT devices connect the intelligence layer to real operations.

Specialized models and agents

Domain-specific models interpret context while specialized agents execute calculations, analysis, monitoring and decision-support workflows.

Private inference and controlled evolution

Digital Brain combines private model execution, governed data access and traceability. Model improvements are evaluated, versioned and approved before deployment.

Knowledge + Data + Models + Agents + Infrastructure

Ecosystem

Network

Built with the domain

Science, industry and infrastructure in one ecosystem.

Domain intelligence cannot be built from public internet data alone. ATP works with scientific institutions, industry partners and infrastructure providers to connect research, operational knowledge, deployment capacity and routes to market.

Service development and engineering contextAFRY

Scientific and forestryUFV, SIF and associated research institutions

InfrastructureEquinix and Scaleway

AI ecosystemNVIDIA Inception

European climate and bioeconomy programsUniversities, cooperatives and project partners under development

Work with ATP

Build the intelligence your domain requires.

Explore an available product, develop a domain-specific AI program or discuss sovereign infrastructure for your organization.