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Datum: Conversational AI for SAP

Ask in natural language and get answers based on the information available in SAP, with permissions, traceability, and Gigas' security.

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What is Datum?

Teams working solely on SAP have been left behind. Relying on manual reports, Excel exports, or IT requests to answer recurring business questions is no longer efficient.

Datum answers those questions in natural language, without granting users direct SQL access.

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For the business

Sales, collections, stock, purchases, and operational questions answered instantly, without manual reports or actions from your technical department. Reduces the load on your SAP.

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For IT / SAP

More control, less ad hoc SQL: roles and permissions by module or table, full auditing, and read-only execution.

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For SAP partners

Available white-label, with a multi-tenant console to manage licenses, usage, and support across your entire portfolio.

Datum's advantages for your business

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Access SAP information easily

Ask business questions in natural language, with no need to know SAP tables or write SQL queries.

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Get answers in different formats and languages

Datum can return explanations, tables, metrics, or charts depending on the query made.

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Have full traceability over queries

The technical detail lets you review the tables queried, the SQL generated, and the result obtained where applicable.

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Simplify access to information

Get the information you need without relying on Excel exports, manual reports, or recurring requests to IT.

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Keep access to information under control

Each user only interacts with information authorized according to defined roles and permissions.

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Core features

Answers with context and technical detail

Datum doesn't just show a result. Where applicable, it lets you check the tables used, the SQL generated, and the detail behind the answer.

Role-based permissions

Permissions can be defined at the module, specific table, custom table, or company database level. When a query needs to access information the user isn't authorized for, Datum blocks access.

Conversational context

Queries take place within conversations that preserve the context of the interaction. History, feedback, and usage are all linked to the conversation.

Languages

The natively supported languages are Spanish, English, and Portuguese.

Access requests

If a query requires unauthorized information, the user can generate an access request directly from the chat.

Security and governance

AI without a black box. Without giving up control of your data.

Every query is logged, every SQL statement generated can be reviewed, and every permission is enforced by tenant, role, module, and table.

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Read-only access to your data

Datum's query flow is designed to execute read-only SQL.

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SQL in plain sight

Administrators and authorized users have full transparency: they can review the tables used, the SQL generated, the filters applied, and the reason for any block.

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Role-based permissions

Access defined by SAP B1 module, tables, and/or database, with traceable blocking if permission is missing.

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Audit and identity

Identity integrated with Active Directory, per-user configurable 2FA, and full activity traceability.

For SAP partners

Your brand up front, Datum behind the scenes

Datum lets you add AI capabilities across your SAP client portfolio, strengthening the partner's value proposition and generating recurring revenue. Datum is offered white-label.

Become a partner
  • Your own brand: Login, dashboard, and communications with the partner's branding; no Gigas brand exposure to the end customer.
  • Per-client isolation: Each client operates in its own tenant, with history, permissions, and usage fully segregated.
  • Individual licenses: Each user has their own license and credit allocation; there's no shared pool between users.

I want to add Datum to my SAP

Frequently Asked Questions about Datum

No. Operational data stays within the client's tenant; the AI engine receives the schema and query context, not the raw data rows, so it is not used to train models.

ChatGPT has no access to a real ERP's data and can generate figures that don't exist. Datum queries SAP tables directly through read-only SQL and shows the query generated, so the answer is based on real, verifiable data.

No. Datum coexists with existing BI tools: it answers one-off questions in natural language without building a dashboard, while BI tools remain useful for recurring analysis and reporting.

No. Datum lets you ask questions in natural language without knowing SQL or the database structure: it generates the query automatically, validates it before running it, and returns the result along with the criteria used.

The query isn't executed: the administrator defines permissions by module and table, the block is logged, and access can be requested directly from the chat. Blocks due to missing permissions don't consume credits.

No. Datum reduces the recurring report requests that today absorb IT or consulting time, but it doesn't replace their judgment: permissions, configuration, and data governance are still defined by your technical team.

Datum operates within the infrastructure managed by Gigas, the same perimeter where your SAP B1/HANA is already deployed; there is no model in which the database is hosted outside that environment.