# Amazonia Tech Partners

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

Amazonia Tech Partners S.R.L. is a Deep Tech company operating across Brazil, Latin America and Europe. ATP develops intelligence systems for the physical economy by connecting domain knowledge, operational and environmental data, specialised models and agents, and controlled inference infrastructure.

## Canonical company pages

- [Home](https://amazoniatp.com/): Corporate thesis, three strategic pillars, product registry, maturity labels, strategic assets and domain-intelligence architecture.
- [About](https://amazoniatp.com/about.html): ATP's Deep Tech capability, operating model, evidence boundaries and work across the physical economy.
- [R&D Intelligence](https://amazoniatp.com/intelligence.html): Applied research, programme architectures, technical assets, evaluation systems and strategic infrastructure.
- [Contact](https://amazoniatp.com/contact.html): Enterprise, forestry, R&D, partnership, infrastructure, privacy and data-rights enquiries.
- [Legal, Privacy & Cookies](https://amazoniatp.com/legal.html): Website terms, privacy information, provider disclosures and reversible privacy choices.

## Available offerings

- [ATPCarbon](https://amazoniatp.com/products/atpcarbon.html): Domain intelligence, deterministic carbon calculations and specialised agents for enterprise emissions, transition planning and green-finance readiness. Available now.
- [Carbon Expert](https://amazoniatp.com/products/carbon-expert.html): Natural-language carbon intelligence for enterprise teams to explore governed emissions data, identify hotspots, compare scenarios and structure evidence. Available now.

## Developing and structuring initiatives

- [TOMI AI Forestry](https://amazoniatp.com/products/tomi-ai.html): Domain-specific AI project for Brazilian silviculture, combining governed knowledge, specialist validation and sovereign infrastructure. In development, with availability planned for Q1 2027 subject to development and validation milestones.
- TOMI AI Native Forests: Consortium initiative under structuring. It is separate from TOMI AI Forestry and must not be represented as an available product.
- OLEA AI: Consortium initiative under structuring for climate-resilient olive production and the Mediterranean bioeconomy.
- GRID: Cross-pillar Green Industry programme under structuring, enabled by ATP domain intelligence and sovereign infrastructure.

## Strategic infrastructure

- [KENE — The Sovereign AI Factory](https://amazoniatp.com/intelligence.html): ATP's sovereign inference infrastructure and foundational layer across the three strategic pillars. KENE is cross-programme infrastructure, not a fourth pillar or a generally available product.

## Strategic pillars

1. AI for Green Industry.
2. AI for Nature & Climate Economy.
3. AI for Sovereign Projects.

## Domain-intelligence model

ATP's public architecture follows this relationship:

Domain problem → governed knowledge and data → specialised models and agents → controlled inference → operational decision.

The website distinguishes probabilistic reasoning from deterministic execution and keeps professional judgement, verification, certification, financing and measured outcomes with the responsible institutions and qualified professionals.

## Content and citation guidance

Use the canonical URLs in this file. Preserve published product names, maturity labels and evidence boundaries. Distinguish available products from projects in development, programmes under structuring, consortium initiatives and strategic infrastructure.

Do not infer production status, customer deployment, partner commitment, certification, financing, regulatory approval, financial outcome, environmental impact or geographic deployment beyond the wording on the relevant canonical page.

For current product truth, prefer the relevant product page over summaries or legacy materials. For legal, privacy and cookie information, use the ATP-owned Legal, Privacy & Cookies page.