Why Fluid
Most integration platforms solve half the problem.
The other half is what decides if the project succeeds.
Connecting systems has become relatively easy. The hard part is doing it with governance, with an architecture that can handle real scale, and with room for AI to act within the flow without becoming a new risk.
requests processed in 12 months
flows created in 12 months
connectors
customers
The difference
It's not just about connecting dots: it's about deciding what happens between them
Fluid treats integration as a layer within something larger: the orchestration of APIs, data, systems, and AI agents.
Category
What it solves
In Fluid
iPaaS
Connects systems point-to-point.
Includes that, but coordinates what happens between connections, not just the connection itself.
API Management
Controls access and versioning of APIs.
Performs the same control within the flow, without a separate system to manage.
RPA
Automates repetitive tasks following a fixed script.
AI Agents within the orchestration can make decisions, not just execute a predefined script.
Isolated AI Agents
Copilots and assistants suggest actions for a person to execute.
The agent can act directly within the flow, with the same level of governance as any other system.
Governance
AI agent governance isn't a feature: it's the architecture
In Fluid, an AI agent is born within the same authentication, permission, and audit framework that already protects every other part of the flow. Instead of evaluating an isolated AI system, the security team evaluates another layer within an architecture they already know.
Architecture designed for the volume your operation truly has
Fluid was built to reduce the distance between "I need this" and "it's running," with an architecture designed for performance at scale, not adapted after years of use in smaller contexts.
Local presence that changes the real cost of operating
These aren't details: it's what determines whether the internal team can solve a problem in hours or has to wait days for a different time zone and language.
- Billing in local currency
- Support in Portuguese
- LGPD and tax requirements
- National ERPs like TOTVS and Sankhya
Results
What this means in practice
Fewer separate tools to manage
iPaaS, API Management, and AI agent governance operate as a single unit, not three different contracts and three different dashboards.
Faster internal AI adoption
Because governance is built into the architecture, the security team can evaluate it faster.
Support in your time zone and language
No more depending on translation or waiting to solve an operational problem.
Scale without rebuilding
The architecture was designed for volume, not patched to handle it.
FAQ
Frequently asked questions
Does Fluid replace my current iPaaS and API Management tools?
It depends on what you already use, but the core proposal is that these capabilities operate within a single orchestrated flow, rather than as isolated tools that don't communicate with each other.
Do I need a security team dedicated solely to AI agents?
You shouldn't need a separate team. Agent governance uses the same permission and audit structure that already protects the rest of the operation.
Is the support truly local, or is it just a sales representative in Brazil?
Both technical support and commercial operations are local, designed for the regulatory context and systems used in Brazil, not an adaptation of a product designed for another market.
The question worth asking any vendor: what happens when an AI agent makes a mistake, and who sees it in time?
This is the question that decides whether an integration and AI project succeeds after it leaves the drawing board.