What is it?
It is the invisible part of technology: where systems are hosted, how they talk to each other, what they cost to run and how much growth they can take.
The Enterprise AI CompanyAgentified IT services
NOC · Infrastructure and cloud
A stable base for your operation to grow without surprises
Everything a company does runs on something: servers, networks, systems, integrations. When that base is fragile, every new project gets more expensive, slower and riskier.
Your base looked after without replacing everything, keeping what already works and ready for agents.
Why does it matter?
It decides whether an idea goes live in weeks or in a year — and whether the monthly bill is predictable.
How does it work?
We assess what exists, choose what is worth modernizing, move to the cloud what makes sense, connect systems through well-defined interfaces and keep cost and security under control.
What changes?
The company gets room to grow: each new project builds on the last instead of starting over.
An example: getting something new live
The same business request, on two different bases.
Today
- Idea approved
- Server requested
- Infrastructure queue
- Manual setup
- Months until go-live
After
- Idea approved
- Environment provisioned
- Automated pipeline
- Live in weeks
With cost tracked from day one and security built into the path, not checked at the end.
Where this fits: this is the base where your operation connects. This is where companies start when a legacy system is limiting the operation or cloud cost is out of control.
Signs you need this
“The cloud bill changes every month and no one can explain why.”
“Getting a new server takes weeks of approvals.”
“The team spends the day putting out fires in old infrastructure.”
“AI projects stall because the base can’t handle them.”
What we offer
What you can hire, separately or together.
Journey to the cloud
An assessment of what exists today and a step-by-step migration, starting with the systems that gain the most from the move.
Also known as: Cloud Journey · hybrid and multicloud architecture
Cloud costs under control
Spending visible by department, resources at the right size and a cost review every month.
Also known as: FinOps
One view of the environment
A single dashboard for the cost, performance and health of every cloud and the data center.
Also known as: Platform observability
Infrastructure ready for AI
Computing power, accessible data and security to take AI beyond the pilot.
Also known as: AI-ready infrastructure
24×7 cloud operations
The same team that migrates can keep the environment running, day and night.
Also known as: CloudOps · Cloud Services
By the numbers
76%
of the IT budget is squeezed by hardware maintenance, power, cooling and support
Source: Gartner
68%
of organizations face delays and red tape to get new hardware
Source: Gartner
62%
of IT teams spend up to 80% of their time maintaining old infrastructure
Source: Gartner
Recognition
- ISG Leader in Google Cloud Ecosystem2025
- Top 3 Google Cloud partners in Latin AmericaWith advanced skills in AWS and Azure as well
Where AI comes in
AI needs a base: computing power, available data and security. We prepare the environment so an AI project can go from pilot to production without rebuilding everything — and we use AI in our own operations to predict failures and adjust costs.
Where to start
Architecture assessment
We map the current environment — cloud, data center or both — along with its costs and risks, and come out with a migration plan ordered by priority.
Request the assessment →What makes up that base
Things the end customer never sees and the business depends on.
Where it runs
Cloud, your own data center or both. The choice changes cost, speed and what the company can promise its customers.
How it scales
On Black Friday or at month-end close, the operation has to take the peak without turning into an emergency project.
How it connects
Systems talk through well-defined interfaces instead of manual exports and spreadsheets in the middle.
What it costs and how safe it is
Cost tracked from day one and security built into the delivery pipeline, not checked at the end.
Modernizing is not throwing away
Legacy systems hold decades of business knowledge. Each one requires a specific decision, and a full rebuild is rarely the best option.
- 01
Leave it as it is
It works, nobody complains and it blocks nothing. The best decision here is to leave it alone.
- 02
Connect it
The system is good, just isolated. We open secure access to it and it rejoins the operation.
- 03
Modernize in parts
We replace what hurts — the screen, the report, the integration — and keep the rest in production.
- 04
Replace it
Only when the cost of keeping it exceeds the cost of replacing it, and with the old system’s knowledge preserved before shutdown.
Who we build the base with
The choice of cloud and delivery tooling follows what the client’s operation demands — and we have certified teams to implement and operate on each of them.
Technologies in the Semantix ecosystem. Display of partner trademarks is subject to their authorization.
How do we do it? See the technical detail →Hide the technical detail
Technical detail
Reference architecture and landing zones · application migration and modernization · hybrid integration and APIs · containers and delivery pipelines with built-in security · platform observability · cloud cost management.
We call this cloud & infrastructure, application modernization, integration, DevSecOps and FinOps.
Frequently asked questions
Common questions about cloud and infrastructure
Should we move everything to the cloud?
It depends on each system. Some benefit from the public cloud; others run better in a private cloud or data center because of cost, latency or regulation. A hybrid model is usually the most balanced, decided system by system.
Which cloud should we choose: AWS, Azure or Google Cloud?
The one that best fits your systems, contracts and in-house skills. Semantix works with all three and can combine more than one, so your company depends less on a single vendor.
How do we keep cloud costs under control?
With FinOps: spend visibility by area, right-sized resources, shutting down idle capacity and well-negotiated usage commitments. Cloud cost is then tracked every month as a business metric.
Why does infrastructure matter for AI?
Because AI depends on available data, integrated systems and secure processing capacity. With a stable foundation, AI projects move out of pilot and into production.
Connected to your operation
This service is part of a single operating model, with AI agents and specialists on the Semantix AI Suite. Decisions made here feed your company’s shared context and make the other operations smarter.
- 01Service DeskField Services · Asset management · ITSM
- 02AMS · ApplicationsSupport · Modernization · Quality
- 03AMS SAPImplementation · Support · SAP Business AI
- 04NOC · Infrastructure and cloudCloudOps · FinOps · ObservabilityYou are here
- 05SOC · Security24×7 monitoring · Identities · XDR and MDR
- 06DOC · Data and AIData platform · Analytics · AI governance
- 07Agentified business processesFinance · Customer service · Procurement and supply · People and HR · Legal and contracts · Risk and compliance
Agents on the volumeSpecialists on judgmentFrom platform to operations
One context for your companyEvery operation feeds the same context and runs on the same foundation: the Semantix AI Suite and Brazilian governance.Explore Semantix AI Suite →Connect · Operate · Learn · Orchestrate