AMAZONIA TECH PARTNERS · DEEP TECH FOR THE PHYSICAL ECONOMY

The planet is physical. We build AI for the decisions that shape it.

Amazonia Tech Partners develops domain-specific AI for emissions, industrial transition, forestry, nature intelligence and sovereign programs. We connect governed knowledge, operational data, specialised models, agents and controlled infrastructure so organisations can move from information to decisions in the real economy.

Knowledge Data Domain intelligence Operational decision

01

Intelligence matters when it changes what happens outside the interface.

Beyond AI as an online service

Many AI products are designed primarily for digital interaction: generating content, answering questions or automating online tasks. ATP operates further downstream, where an answer must remain connected to specialised knowledge, operational data, governed methods, professional judgement and physical-world constraints.

Our objective is not to generate more information. It is to help organisations understand what is happening across emissions, industrial systems, forests and natural assets — and structure the next decision with evidence.

Starting principle
We do not begin with a general-purpose model and search for a use case. We begin with the domain problem.
02

Different systems. One repeatable Deep Tech capability.

Products · R&D · Infrastructure

ATP's development capacity is visible in the systems it builds: commercial applications, governed R&D and controlled infrastructure organised around complex domains.

01

AVAILABLE NOW · CLIMATE INTELLIGENCE

ATPCarbon

From carbon data to governed transition decisions.

ATPCarbon connects domain reasoning to governed carbon methods, deterministic calculation services and enterprise workflows for Scope 1, 2 and 3 emissions, intervention analysis, transition planning and Green Finance readiness.

Explore ATPCarbon →
02

AVAILABLE NOW · DEVELOPED WITH AFRY

Carbon Expert

Natural-language intelligence connected to enterprise carbon context.

Carbon Expert helps sustainability, operations, procurement and finance teams interrogate governed emissions data, identify hotspots, compare scenarios and structure evidence. Its documented configuration connects ATP domain intelligence with Carbon Meter data and calculation workflows.

Explore Carbon Expert →
03

IN DEVELOPMENT · FIRST MACRO-DELIVERY COMPLETED

TOMI AI Forestry

Scientific forestry knowledge, engineered into domain intelligence.

TOMI AI Forestry demonstrates ATP's ability to transform technical-scientific knowledge into a governed AI system for Brazilian silviculture and forest operations. Its delivered foundation includes a hierarchical forestry knowledge architecture, structured corpus and working retrieval environment, with specialist evaluation inside the development loop.

Explore TOMI AI Forestry →
04

STRATEGIC INFRASTRUCTURE · CONTROLLED DELIVERY LAYER

KENE — The Sovereign AI Factory

Infrastructure for domain intelligence under controlled conditions.

KENE is ATP's sovereign infrastructure direction for connecting specialised models, agents, policies, data and execution. It is designed to support deployment choices aligned with the governance, security and operational requirements of enterprise and sovereign projects.

Explore ATP R&D Intelligence →
03

Deep Tech begins with context — and ends with a system that can be governed.

From domain problem to controlled delivery

ATP combines domain research, product engineering and infrastructure around a repeatable development path. The exact configuration changes by sector, but the governing logic remains consistent.

01

Domain problem

Start with the operational, scientific or institutional decision that must improve.

02

Governed knowledge

Structure scientific literature, regulations, technical methods and specialist expertise around the domain.

03

Operational and environmental data

Connect enterprise systems, inventories, documents, field observations, remote sensing and sensors where the application requires them.

04

Specialised models and agents

Use domain-specific reasoning to interpret context and route work to the appropriate knowledge, tools and governed services.

05

Controlled execution

Apply deterministic calculations, APIs, policies, logs and deployment controls where accuracy, traceability and governance require them.

06

Specialist and operational validation

Evaluate outputs against evidence, professional judgement and the requirements of the real operating environment.

Knowledge+Data+Models+Agents+Infrastructure
04

Impact is a chain, not a marketing claim.

From intelligence to the real economy

ATP does not treat planetary impact as an automatic consequence of using AI. Better outcomes require evidence, decisions, implementation and measurement. Our role is to build the intelligence and controlled execution environment that helps organisations move through that chain.

Domain evidenceGoverned intelligenceBetter decisionOperational actionMeasurable outcome
01

Green industry

Structure emissions, methods, hotspots and scenarios so enterprise teams can evaluate operational decarbonization and transition decisions.

02

Forestry and nature

Connect scientific knowledge, operational context and field evidence so forestry and nature decisions can become more contextual, traceable and technically responsible.

03

Climate and Green Finance readiness

Structure data, scenarios and evidence for management, project preparation and finance-readiness workflows. Financing decisions remain with authorised institutions.

04

Sovereign programs

Support institutions that require greater control over data, models, inference and deployment conditions.

Responsibility boundary

ATP systems support the path from evidence to action. Technical feasibility, implementation, verification, certification, financing and measured outcomes remain subject to the relevant organisations and qualified professionals.

05

Deep Tech is built with the domain, not around it.

Science · Engineering · Infrastructure

Domain intelligence cannot be built from public internet data alone. ATP works across scientific, engineering, sector and infrastructure environments to connect research, operational knowledge, deployment capacity and routes to market.

ENGINEERING AND ENTERPRISE APPLICATION DEVELOPMENT

AFRY

Carbon Expert is developed with AFRY, connecting ATP domain intelligence with documented Carbon Meter configurations and enterprise carbon workflows.

FORESTRY RESEARCH AND SECTOR CONNECTION

UFV–DEF · UFV–Fibras Florestais · SIF

TOMI AI Forestry connects ATP engineering with a forestry research environment at the Federal University of Viçosa and a university–industry interface across the Brazilian forest sector.

INNOVATION SUPPORT

EMBRAPII / Sebrae mechanisms

The TOMI AI Forestry R&D structure references EMBRAPII/Sebrae innovation mechanisms alongside private execution and investment.

INFRASTRUCTURE AND AI ECOSYSTEM

Equinix · Scaleway · NVIDIA Inception

ATP participates in infrastructure and AI ecosystems relevant to controlled deployment, compute and the development of domain-specific systems.

Institutional boundary

Relationships and institutional participation support development, research, infrastructure or market connection according to their documented scope. They do not constitute universal certification, endorsement or a guarantee of results.

06

Built from LATAM and Europe. Relevant to the planet.

Brazil · Latin America · Europe

ATP operates across Brazil, Latin America and Europe. This position connects Brazilian experience in forestry, biodiversity, industrial transition and complex operating environments with European engineering, infrastructure, regulation and climate-market development.

The result is not the export of one generic model. It is a platform for building domain intelligence around the scientific, institutional and operational realities of each program.

07

Technology cycles are short. Climate and forest systems are not.

Built for the long term

Amazonia Tech Partners is being built as a long-term technology institution for climate, nature and the real economy. We prioritise scientific integrity, governed development and infrastructure that can remain useful as models, regulations and markets evolve.

Our ambition is to help organisations build the intelligence required for decisions whose consequences extend beyond a software interface — into operations, value chains, landscapes and future generations.

The measure of intelligence is not only what it can generate. It is what people and institutions can responsibly do with it.

WORK WITH AMAZONIA TECH PARTNERS

Build intelligence that belongs in the real world.

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