ingestia.ioingestia.io
Integrated platform

From source to decision in one platform

Ingestia Data organizes, ingestia.bi shows and Ingestia AI answers — on the same governed data. Connect → Organize → Model → Visualize → Ask the AI.

What sets us apart

What you won't find in a BI-only tool

Seven things that, together, no single tool delivers — and that you'd have to build with multiple purchases and a team.

  • A single platform in your language

    Integration, warehouse, BI and AI in one platform — without tying five tools together or building a data team.

  • BI without licensing every person

    Creators pay the creator license ({criador}/mo); view-only users cost almost nothing (+25 for {visualizadores}/mo).

  • Formulas in Portuguese, with English aliases

    Over 100 spreadsheet-style functions — Portuguese names, with English aliases — translated into queries on your datalake.

  • AI on governed data

    The AI shows the origin of the number, respects permissions and row-level security and runs with your company's AI key — without per-user license.

  • Cost under control

    Credits pay for data usage — processing, storage and movement. The AI runs with your company's key, and the model cost is billed to your provider account. You track consumption and receive a warning when the balance is low.

  • Credentials by reference

    The pipeline definition uses a reference to the credential, not the password. It's resolved at run time, with versioning, revocation and usage logging.

  • Data in Brazil + your own cloud (BYOC)

    Processing in the São Paulo region, one dataset per customer. Run it in your own GCP account with an encrypted key (Business add-on {valor}/mo; included in Scale+). The keyless variant is Planned.

Security and governance

Security and isolation at every layer

From the source connection to the published dashboard, every access is controlled, scoped and auditable. Data governance isn't a separate project — it's part of the structure.

Architecture implemented and covered by tests; validating isolation in the cloud (real IAM) is a pilot stage. Each company's data is isolated per tenant, with one dataset and one bucket per customer.