From data in motion
to the agent that acts

We have spent seven years putting streaming platforms into production across Latin America. We know which architectures hold up under real volume and which ones break, and we build the agents on top of that foundation, not beside it.

OUR APPROACH

Data first. Agents second.

Most AI projects do not fail because of the model, they fail because of the data. An agent wired to a warehouse that refreshes in batches reasons about a business that has already moved on, and no amount of prompt tuning fixes that.

That is why we work in that order. First we make your business events available the moment they happen, then we build the agents that decide and act on top of them. That is the difference between a pilot that impresses and a system that operates.

01

Understand the business first

Your use cases, your priorities and the systems you already run. Technology comes later.

02

Data in motion as the foundation

A governed event backbone instead of a point-to-point integration for every use case.

03

Agents with engineering standards

Version control, testing, evaluation and traces. The same things you would demand of any critical system.

04

Continuous evolution

Your agents are not a project, they are an organizational capability. We help them grow.

WHAT WE DO

Our services

Four areas that cover the full path, from the first event to the agent in operation.

Assessment and roadmap →

We map your operation, your event sources and the state of your data platform. We pinpoint where real time changes a business outcome and what order to tackle it in.

  • • Data and AI maturity assessment
  • • Use case prioritization by impact and feasibility
  • • Phased roadmap with estimated investment
  • • Platform and model selection for your ecosystem

Real-time data platform →

The ground we have been working for seven years. We implement and migrate to Confluent, move processing to Flink and leave governance for data in motion running from day one.

  • • Confluent Cloud and Confluent Platform, in the cloud or on-premise
  • • Migration from open source Apache Kafka or legacy queues
  • • Processing with Apache Flink and real-time context
  • • Schema Registry, lineage, security and cost control

Agent design and development →

We design the agent system and build it on the runtime that fits your organization: Google ADK when you want open source and control, IBM watsonx when regulatory governance calls the shots.

  • • Multi-agent systems with Google ADK and Vertex AI Agent Engine
  • • Automation and governance with IBM watsonx
  • • Interoperability protocols: MCP and A2A
  • • Integration with your systems, testing and knowledge transfer

Operations, governance and evolution →

Your agents in production need observability, governance and continuous improvement. We implement the capabilities so your team has full control and your agents evolve.

  • • On-premise or cloud observability
  • • Performance dashboards and proactive alerts
  • • Model governance: auditing and version control
  • • Continuous improvement and fine-tuning cycles
METHODOLOGY

This is what an Archgents project looks like

1. Diagnosis

Your use cases, your event sources and the state of your data platform.

↳ Diagnosis report
2. Architecture design

Event backbone, context model and agent runtime. Validated with you before implementation.

↳ Architecture blueprint
3. Implementation

Development sprints in your cloud or your data center. Your team participates and learns in the process.

↳ Platform and agents in production
4. Operations and evolution

Observability for streams and agents, periodic improvements and priority technical support.

↳ Monthly report
HOW WE WORK

Contract models

We adapt to your needs and maturity level.

2-4 weeks

Point consulting

For organizations that prefer a clear strategic vision before moving towards implementation.

  • Discovery sessions with key teams
  • Diagnosis and maturity report
  • Recommended architecture blueprint
  • Roadmap with estimated investment
6-16 weeks

End-to-end project

An end-to-end model that takes your agents from definition to production operation, with design, implementation and knowledge transfer.

  • Everything from point consulting
  • Complete development and implementation
  • Integration with your current systems
  • Deployment in your environment
  • Documentation and team training
Monthly recurring

Support and evolution

For organizations with agents in production that want governance, performance and continuous improvement.

  • Continuous monitoring and observability
  • Monthly performance report
  • Periodic improvements and adjustments
  • Priority technical support

Is your team ready to build
agents that work in production?

Schedule a free diagnosis call with one of our senior architects. No sales pitch, just context.