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Strategic partner · Cloud, data and AI

Google Cloud with Semantix: from migration to AI in production

Semantix moves workloads to Google Cloud, organizes data in BigQuery and puts Google’s AI into production, with ongoing operations and governance. You get one accountable partner, from architecture to day-to-day operations.

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What Semantix does with Google Cloud

  • Cloud journey

    We assess the environment, plan the migration by priority and move applications to Google Cloud without stopping operations.

    Also known as: Move to Cloud · workload modernization

  • Costs under control

    We track consumption, right-size resources and show each area how much it spends and why.

    Also known as: FinOps

  • Data ready for decisions

    We build the data platform and the data products each area uses, with quality and per-source permissions.

    Also known as: BigQuery · Data Platform Foundation

  • AI from pilot to production

    We design, deploy and monitor models and agents, with ongoing evaluation and curation.

    Also known as: Vertex AI · Gemini · AI pipeline

  • Ongoing operations

    We monitor, fix and evolve the environment with a dedicated team, 24/7.

    Also known as: CloudOps · Managed Services

  • Modern, observable infrastructure

    Containers, automation and end-to-end monitoring so applications make the most of the cloud and warn before they fail.

    Also known as: Infrastructure modernization · observability

  • Modernized, sustained data

    Legacy data environments moved to BigQuery, and the platform kept available and up to date by a dedicated team.

    Also known as: Data Modernization · Managed Data Services · data AMS

  • Governed AI

    Usage rules, evaluation and ongoing curation of models and agents, with every decision recorded.

    Also known as: AI governance · AI AMS/curation

  • SAP on Google Cloud

    Your SAP environment operated on Google’s cloud, by the same team that looks after the ERP.

    Also known as: SAP Cloud and infrastructure operations

With the Semantix AI Suite

The Semantix AI Suite works on the Google Cloud your company already has. Agentix can use Google’s models, chosen agent by agent, LinkAPI connects agents to BigQuery and company systems, and Safetix enforces your rules and logs every action.

Explore the Semantix AI Suite →

Use cases

Application examples

  • Data center to cloudApplications leave the data center in waves, starting with those that weigh most on cost.
  • One version of the numbersSales, finance and operations query the same BigQuery base, with the same definitions.
  • Agents with GeminiAgents read documents, respond to requests and record what they did in company systems.

Frequently asked questions

Common questions

Does Semantix only work with Google Cloud?

No. We also work with AWS, Microsoft Azure and Huawei Cloud. We recommend a cloud based on the problem and what your company already uses, not on the vendor.

Can Google’s AI be used with sensitive data?

Yes, with governance. Safetix masks personal data before it reaches the model, enforces permissions and logs every use.

Who manages the environment after the migration?

Semantix, if you want. Ongoing operations cover monitoring, cost, security and evolution of the environment.

Start with the process, not the technology

An assessment shows where value is stuck in your operation and which technology, the one you already have or the best fit, solves it first.

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Technology from the Semantix partner ecosystem. Names and trademarks belong to their respective owners.

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Nobody should have to speak technology to understand a transformation.

Enterprise AI Company
A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
Hybrid workforce
AI agents handle the volume; specialists decide the exceptions and the risky cases.
Operation that learns
Every human decision becomes knowledge, so the next similar case is faster and cheaper.
Outcome-based contract
You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
Context
Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
AI
Computers able to perform tasks that would normally require human intelligence.
Agent
An AI system that can carry out tasks using tools.
Workflow
The path a piece of work travels inside a company.
API
A way of letting systems talk to each other.
Cloud
Computing and storage reached over the internet.
Data Platform
An environment that organizes and serves the company’s data.
Agentic AI
AI that can understand goals and carry out tasks within defined limits.
AI Harness
The structure that supplies the context, tools, rules and controls an agent needs to act safely.