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KENE AI by ATP

KENE AI is ATP's artificial intelligence family for real-world operations

KENE AI is Amazonia Tech Partners' AI family designed to operate in physical, industrial, and environmental environments where generic AI does not perform.

It was built to decarbonize industry and enable forest maintenance and growth with real data, traceability, and governance.

Start with KENE See Modules

What the KENE family includes

Deep domain knowledge

Industrial, environmental, scientific, and operational context.

Specialized LLMs and SLMs

Trained for real operational contexts, not generic chat behavior.

Orchestrated AI agents

Continuous task execution instead of one-off answers.

Secure, auditable infrastructure

End-to-end traceability and strong data governance.

MCP (Model Context Protocol)

Standard layer to connect agents, enterprise data, and tools.

ATP Physical AI

Direct connection between AI models and the real world.

Physical AI: ATP's structural differentiator

ATP AI does not run only on text and reports. It is directly connected to physical operations and productive environments.

Connected directly to

  • Sensors and IoT devices
  • Satellites and drones
  • Machines, assets, and industrial infrastructure
  • Forest, agricultural, and logistics operations
  • Field data and productive environments

This enables

  • Measuring emissions at the source, not by estimates
  • Monitoring physical assets in near real time
  • Acting on operations, not only reporting
  • Ensuring productive growth with environmental compliance

KENE modules

Carbon & Climate Intelligence

ATPCarbon

  • Automated Scope 1, 2, and 3 calculations
  • Auditable factors and methodologies
  • Integration with real operational data
  • Agents that calculate, validate, and monitor continuously
  • Evidence for GHG Protocol, IFRS S1/S2, CBAM, and CSRD
  • From data to calculation, to decision, to action
Nature & Operations Intelligence

TOMI AI

  • Integrates field, satellite, drone, and sensor data
  • Continuous monitoring of natural assets
  • Supports technical decisions for restoration and risk prevention
  • Scalable and verifiable MRV outputs
  • Reliable base for green credit and blended finance
  • Nature monitored as an asset, AI applied as infrastructure

Why KENE is different

KENE is operational, physical, and auditable AI.

Physical data -> specialized AI -> autonomous agents -> auditable decisions -> real impact.

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