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.
Not one agent on its own, but several specialists working together: one reads your documents, one calls your APIs, one carries out the task. We orchestrate them with Google ADK and IBM watsonx, with a trace behind every decision.
We build agents around your operation, wired into your CRM, your ERP, your documents and your APIs. We define the use case with you, integrate them with your systems and leave them running with traceability and access control.
The IBM Silver tier mark is a trademark of International Business Machines Corporation, registered in many jurisdictions worldwide.
Companies that trust us
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.
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.
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
7years
With streaming implementations in production
8countries
Of IT experience behind our architects
+20years
Banking, telco, retail, manufacturing and more
+14industries
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.
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.
FOR COMPANIES WITHOUT A PLATFORM TEAM
And if your company is not there yet?
Everything above is built for organisations with event volume, legacy systems and a regulator watching. Not every company is there, and you do not have to be for an agent to be worth having. For that case we work with Aracely AI, a partner platform where agents are built and run without standing up infrastructure.
No dedicated team
Agents are built, tested and published from the platform. You do not need to hire a data team to start.
On your own documents
Upload manuals, policies and contracts, and the agent answers from that context instead of inventing one.
Wired to what you already use
CRM, databases, email and your own APIs through MCP, the same protocol we use on the large projects.
Aracely AI
An agent platform with monthly plans from USD 99
Unlimited agents on every plan
Models from OpenAI, Anthropic, Google and Groq
On their cloud or yours: AWS, Azure, GCP and Oracle
Role-based access control, end-to-end encryption, GDPR and SOC 2 ready
