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    Strategic partner · Hybrid data and AI

    Cloudera with Semantix: data and AI in the data center and in the cloud

    Semantix deploys, modernizes and operates Cloudera data platforms, in the data center, in the cloud or both. Data stays where it needs to be, governed and ready for analytics and AI agents.

    Find where to start →

    What Semantix does with Cloudera

    • Data platform

      Architecture and deployment of the foundation that brings together company data, with security and lineage.

      Also known as: Cloudera Data Platform · Data Platform Foundation

    • Modernization

      We upgrade legacy data environments and move workloads to the cloud when it makes sense.

      Also known as: Data Modernization

    • Operations and support

      The platform stays available, up to date and cost-monitored, with a dedicated team.

      Also known as: Managed Data Services · data platform AMS

    • AI on your data

      Models and agents trained and run close to the data, without unnecessary copies.

      Also known as: Cloudera AI · AI pipeline

    • Data strategy

      An assessment of the environment and a prioritized plan tied to business outcomes.

      Also known as: Data Journey Strategy Consulting

    • Data products and analytics

      Pipelines, metrics and datasets ready for each area to use.

      Also known as: Data Products & Analytics · Data Factory

    • Governed AI

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

      Also known as: AI governance · AI curation

    With the Semantix AI Suite

    Semantix AI Suite agents query data on the Cloudera platform through LinkAPI, with per-source permissions. Safetix logs every query and masks personal data before it reaches the model.

    Explore the Semantix AI Suite →

    Use cases

    Application examples

    • Regulated dataSensitive information stays in your own environment, and analysis happens right there.
    • A modernized data lakeAn old environment becomes a current platform, with governance and lower maintenance costs.
    • Agents with contextAgents answer based on the company’s historical data, with the source of each answer.

    Frequently asked questions

    Common questions

    Does Cloudera work in the data center and in the cloud?

    Yes. The platform is hybrid: it runs in your own environment, in the public cloud or both, with the same security and governance rules.

    Does Semantix modernize older Cloudera environments?

    Yes. We plan the upgrade, migrate the workloads and keep operations running during the transition.

    Can AI agents use data from Cloudera?

    Yes. LinkAPI connects agents to the platform with per-source permissions, and every query is logged in Safetix.

    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.

    Not sure what a term means? That’s fine

    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.