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AI for farm operations

Operational answers.Within reach.

Bring connected farm information into the conversations your team already has on WhatsApp.

Request a demonstration Visit the site · colmeia.agr.br

Multi-agent AI platform

Specialised skills.
Connected knowledge.

Each AI agent is configured for a specific role, combining a defined skill set, domain knowledge and access to relevant business data.

  1. 01

    Data agent

    Skill
    Retrieve and organise information from connected sources.
    Knowledge
    Data structures, source definitions and available records.
  2. 02

    Operations agent

    Skill
    Investigate performance, compare records and identify exceptions.
    Knowledge
    Equipment, operating processes and business rules.
  3. 03

    Coordination agent

    Skill
    Direct tasks to specialist agents and combine their findings.
    Knowledge
    Question context, agent capabilities and access requirements.

Agent roles, skills and knowledge are configured around the agreed use case and connected data.

The business challenge

What gets in the way?

Machinery telemetry, operational records and costs are spread across separate systems. Before investigating an issue, managers often have to collect and reconcile the information themselves.

Our product

A practical way forward.

Colmeia is a multi-agent AI platform that brings specialised agents together to work with farm data and operational questions. Each agent combines a defined skill set, domain knowledge and access to relevant sources. A coordination agent directs the work and consolidates findings into a response through WhatsApp, with fleet operations as the initial focus.

What it brings to your team

Designed around the work you do.

01

Questions in everyday language

Ask about operational performance through WhatsApp, without starting with a dashboard or database query.

02

Connected operational context

Bring relevant information from agreed farm systems into the scope of a question.

03

Evidence behind an answer

The intended experience connects answers to underlying sources and explains the findings so teams can investigate further.

04

A defined starting scope

Start with fleet operations and review the currently supported questions and integrations in a demonstration.

How it works

  1. 01

    Define the operational questions

    Identify the fleet questions and data sources that matter to your team.

  2. 02

    Review the connections

    Assess supported integrations, data availability and access requirements.

  3. 03

    Evaluate the experience

    Use a demonstration to inspect the answers, supporting evidence and current product scope.

Fit with your environment

Clear scope. Connected information.

The connection scope depends on the farm’s systems and available data. Review access permissions, data handling and supported questions as part of the product assessment. Broader operational applications should be assessed against the current product scope.

Start a conversation

See Colmeia in a demonstration

Discuss your business context, data requirements and the right next step with MT2 Data.

Contact MT2 Data
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