DATA STREAMING + AI AGENTS

AI agents that act on your data in real time

7 years implementing Confluent in Latin America. Today, IBM partners and specialists in Google ADK and IBM watsonx. We design the architecture that connects your business events with agents that decide and act the moment things happen.

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EVENTS Kafka Flink AGENTS ACTION From event to action, with no overnight batch in between

Technology partnerships

The IBM Silver tier mark is a trademark of International Business Machines Corporation, registered in many jurisdictions worldwide.

Companies that trust us

Banco AztecaGaliciaMibancoBanco BISABanco PichinchaBNP ParibasTigoClaroAlfaCencosud
THE PROBLEM

The problem we solve

An agent that answers with yesterday’s data is not an agent, it is a report

Agents blind to the present

They query databases that refresh in batches. They decide on a state of the business that changed hours ago.

One integration for every agent

Each new use case demands another point-to-point connector. Complexity grows faster than the value delivered.

Decisions nobody can audit

When an agent gets it wrong, there is no way to reconstruct what data it saw or why it acted that way.

Pilots that do not survive volume

They work with a thousand records in a demo and collapse under real production traffic.

WHAT WE SPECIALIZE IN

Three technologies, one architecture

We lead with the streaming platform we have been implementing in the region for seven years, and we build the agent runtime your organization needs on top of it.

PROVEN GROUND

Data Streaming with Confluent and IBM

Kafka, Flink and Confluent Cloud on AWS, GCP and Azure. Migrations from open source Kafka, governance for data in motion and agents that run inside the stream itself.

  • Streaming Agents native to Flink
  • Real-Time Context Engine for RAG
  • Migration from open source Kafka
  • Governance and lineage for data in motion
Explore Data Streaming
OPEN RUNTIME

Agents with Google ADK

Multi-agent systems built with the Agent Development Kit and deployed on Vertex AI Agent Engine, interoperable through A2A and MCP.

  • Multi-agent systems with ADK
  • Deployment on Vertex AI Agent Engine
  • Interoperability with A2A and MCP
  • Agent evaluation and observability
Explore Google ADK
ENTERPRISE GRADE

Agents with IBM watsonx

watsonx Orchestrate to automate processes, watsonx.ai for models and watsonx.governance for the compliance that banking and telecommunications demand.

  • Automation with watsonx Orchestrate
  • Proprietary and open models on watsonx.ai
  • Governance and auditing with watsonx.governance
  • Hybrid and on-premise deployment
Explore IBM watsonx
REFERENCE ARCHITECTURE

How we connect your events to agents that act

We do not plug an agent into a database. We put an event backbone at the center, build context while the data is moving and let agents act on the present. Every decision returns to the stream as one more event, so it stays audited and can be replayed.

SOURCES Core banking CRM · ERP · APIs IoT · Network · Logs CONFLUENT · IBM Apache Kafka EventsSchema Registry Apache Flink Streaming AgentsReal-time context MCP · A2A AGENT RUNTIME Google ADK Vertex AI Agent Engine IBM watsonx Orchestrate · ai · governance ACTIONS Fraud block Customer offer Ticket · Repair Every decision returns as an event: traceability and replay

STACK

  • Apache Kafka
  • Apache Flink
  • Confluent Cloud
  • IBM watsonx
  • Google ADK
  • Vertex AI
  • MCP
  • A2A
  • AWS · GCP · Azure
  • On-premise
PROVEN GROUND

7 years implementing Confluent in Latin America

We started with Apache Kafka when streaming was still treated as an infrastructure project. After IBM acquired Confluent, that experience and our IBM partnership come together in a single practice: data in motion and agents that act on it.

Where we have implemented

  • Colombia
  • Mexico
  • Dominican Republic
  • Ecuador
  • Peru
  • Bolivia
  • Chile
  • Argentina
Implementing Confluent across the region
7 years
With streaming implementations in production
8 countries
Of IT experience behind our architects
+20 years
Banking, telco, retail, manufacturing and more
+14 industries
IN PRODUCTION

Where this architecture already runs

Sectors where real time is not an improvement, it is the requirement

Financial services

Fraud detection at the instant of the transaction, risk decisions driven by events and customer service with up-to-date context.

Telecommunications

Network management, quality of service and subscriber experience over event streams that cannot afford delay.

Retail and consumer

Inventory, recommendations and omnichannel experience that respond to customer behavior while it is happening.

View all use cases
HOW WE WORK

What an Archgents project looks like

A structured process to take agents to production on real-time data

01

Diagnosis

We map your use cases, your event sources and the state of your data platform. We identify where real time changes the business outcome.

02

Architecture design

We define the event backbone, the context model and the agent runtime. Validated with you before a single line of code is written.

03

Implementation

We deploy Confluent and the agents in your cloud or your data center, integrated with your current systems. Your team takes part and learns along the way.

04

Operation and evolution

Observability for streams and agents in production. Metrics, alerts and continuous improvement on real data, not assumptions.

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With one of our senior architects. No sales pitch, just context.

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