WFS DataTalk AI — talk to your data

Generative AI that understands your corporate data model and answers business questions in natural language — with charts, tables and actionable insights.

Live demo See AI talking with data
Request a demo How it works Natural language Knows your model RLS security
Capabilities

Conversational BI for everyone

End the BI team queue. Any user asks in plain language and gets the answer from the data — with security and governance.

Natural language

"What was the South region revenue last quarter?" — ask the way you speak.

Automatic charts

The AI picks the best visualization for the question — bars, lines, heatmaps, pivot tables.

Knows your model

Trained on your data dictionary, metrics, KPIs and business rules — no "hallucinations".

Row-level security

Respects the same access controls as your data warehouse — users only see what they can see.

Transparent SQL

Advanced users can see and edit the generated SQL. Full audit of every question asked.

Proactive insights

The AI suggests analyses, identifies anomalies and anticipates questions based on your usage pattern.

Who it's for

Democratize your data

Directors, managers, analysts, operations. Anyone in your company can make data-driven decisions — without depending on a BI report queue.

  • ✓ Cuts BI team time on repetitive demands by up to 70%
  • ✓ Increases data adoption across the company
  • ✓ Measurable ROI in 3 to 6 months
DataTalk em uso

See AI talking to your data

Demo with your own dataset (under NDA) — book in 1 click.

Request a demo
Frequently asked questions

About WFS DataTalk IA

What is WFS DataTalk IA?

WFS DataTalk IA is a generative AI platform that lets you talk to your corporate data in natural language. You ask a question (e.g. 'what was net revenue by region last quarter?') and the product generates the matching SQL, runs it on your data warehouse, and returns the answer with charts, tables and actionable insights.

How does DataTalk IA understand my data model?

Before answering questions, DataTalk IA is trained on the customer model: schemas, relationships, business glossary, KPIs, calculation rules. That training uses our engine — the WFS DataTalk IA, made up of the 5 largest AIs in the world collaborating with each other — to understand the company's internal vocabulary and generate precise SQL, with references to the source code.

Which databases does DataTalk IA support?

Oracle, SQL Server, PostgreSQL, MySQL, MongoDB and any database with a JDBC/ODBC connector. Also integrates with cloud data warehouses: Snowflake, BigQuery, Synapse, Redshift, Databricks SQL. Works on analytical layers (DW/lakehouse) and can query data in real time or from snapshots.

Is it safe to let AI generate SQL in production?

Yes. Several security layers: read-only connections by default; granular per-user RBAC (each one sees only what they're allowed); optional human review before execution; full audit of prompts and generated queries; PII masking in answers; resource consumption limits to prevent expensive queries.

Can I integrate DataTalk IA with Power BI or other tools?

Yes. Available as its own portal (optional white-label), embedded in other tools (Power BI, Teams, Slack) via REST API, and integration with corporate agents via MCP server. Multilingual team: PT-BR, EN and ES native, other languages on demand.