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How it works

Ask. Query live data. Answer & act.

Ask

Ask in plain language.

Type a question the way you'd say it: no SQL, no query builder, no report backlog. DataTalk interprets what you ask and translates it into a SQL query before touching your data.

Verify & query

It checks CDP, then queries live data.

DataTalk queries your SMS, push and email campaign data in BigQuery, in real time: real numbers from the platform, never a stale export.

Answer & act

Answers you can act on, instantly.

You get a chart, table or KPI card from live data in seconds, and DataTalk can turn the result into a segment or audience, ready for the journey. Answers, not dashboards.

The loop

Runs on live data, inside the platform. Ask, get the answer and turn it into an audience, with no SQL, no export and no waiting on an analyst.

Live
CDP data
Cost & safety
checks
Executes
actions
No SQL
No analyst
Built on the platform

The engine behind every answer.

DataTalk runs on the same enterprise platform as every indigitall channel, with its orchestration, security and unified data.

  • Orchestration

    Multi-Agent Supervision

    A Router Bot analyzes user intent in natural language and directs the query to the right specialized agent, human agent, or external system. Complex workflows that span multiple departments are handled without the customer knowing.

  • Real-time integration

    MCP Integration

    The Model Context Protocol connects the agent to any external system in real time, such as a CRM, an ERP, inventory, payments, a healthcare record or a proprietary API. The agent fetches data, calls functions and writes results back. Real actions, not simulations.

  • Unified profile

    Omnichannel Context

    The CDP keeps conversation state active across every channel. A customer who starts on WhatsApp, continues on the web, and calls the contact center never has to repeat themselves. Full context, zero friction.

  • Enterprise safety

    Response Security Filter

    Every response passes through a security filter before delivery: blacklists, brand-safety guardrails and content moderation. RAG on the client's validated content keeps answers limited to that content.

  • Adaptive intelligence

    Continuous Learning

    Every resolved interaction, every escalation, and every drop-off feeds back into the model. Resolution accuracy improves over time without manual rule-writing.

  • Contact Center integration

    Human Handoff with Full Context

    When an interaction requires human judgment, the agent hands off to a live agent in the Contact Center, with the full conversation history, the customer profile and the resolution steps already tried. No cold handoffs.

Use cases

DataTalk, from question to action.

Real scenarios where a plain-language question becomes a chart, a segment or a report in seconds, on live data, with no SQL.

Segmentation

A segment from a sentence

Describe the audience in plain language and DataTalk builds the segment with the right filters, ready to drop into a journey.

  • No SQL, no query builder
  • Correct filters applied
  • Ready to activate
Analytics

Ask your KPIs

Ask about performance and DataTalk answers with the chart or KPI card: live data, no analyst, no dashboard hunting.

  • Charts and KPI cards
  • Live data from the CDP
  • Suggests the next step
Reporting

Reports on demand

Turn a question into a table or report in seconds: pull it when you need it, not when the analyst backlog clears.

  • Plain-language request
  • Live from the CDP
  • Right inside the platform
Your data stays yours

Trained on your data. Contained in your environment. Never exposed to a public LLM.

Most AI deployments have a hidden cost that doesn't appear in the contract: every customer query sent to a public large language model is a data transfer to that provider's infrastructure. indigitall AI Agents use Retrieval-Augmented Generation trained exclusively on client-provided content. The agent knows your products, policies, and procedures. It knows nothing it wasn't taught. And everything it was taught stays inside your environment.

  • RAG-only training

    Trained on your content: product catalogs, FAQs, policy documents, service data. Answers stay limited to that validated content.

  • No data sent to OpenAI, Anthropic, or Google

    Customer queries do not leave your environment to be processed by a third-party LLM provider. The reasoning layer runs on indigitall's infrastructure with your data.

  • Response Security Filter

    Every response is filtered for brand safety, legal compliance, and content moderation before delivery. Blacklists prevent specific terms, competitors, or off-limits topics from appearing in any response.

  • Certified infrastructure
    Independently audited to international security, privacy, and compliance standards.
    • ISO 27001
    • GDPR
    • HIPAA
    • ENS (Spain)
    • SOC 2
Validated by 430+ customers on G2

Rated #1 by the teams that run it in production.

G2 is the world's largest B2B software review platform, with 90 million verified reviews. These 76 badges were earned from customers operating indigitall every day, validating the platform reliability and AI capabilities behind OmnIA Agents.

Summer 2026

76 G2 Badges

430+ verified reviews across 8 categories, measuring delivery performance, AI capability and platform reliability in production.

AI Chatbots

High Performer

Recognized for AI conversational capability across global, EMEA, and European markets.

Global
EMEA
Europe
#2 Usability #2 Relationship
Global

#1 Momentum Leader

The fastest-growing platform in the category: ranked above all competitors on traction and growth trajectory.

Fastest growing · verified
Mid-Market

#1 Usability

Highest usability score in the category: teams configure and run OmnIA Agents without heavy IT overhead.

9.20  / 10
Mid-Market usability score
Regional

#1 in Two Regions

Top-rated platform in Europe and Latin America by verified customer rating, in two separate G2 Regional Grids.

Europe #1
Latin America #1

More about DataTalk

What can you ask when you chat with your campaign data in DataTalk?

  • DataTalk answers plain-language questions about your campaign data with a chart, a table or a KPI card.

  • If you are not sure where to start, it suggests questions, such as which campaigns launched last month.

  • Every query is saved under Your queries with its date, and the result can become a segmented audience.

Each part of the platform also has its own reports:

What you want to knowWhere you see it in indigitall
A one-off question about your campaignsDataTalk, as a chart, table or KPI card
Push sends, deliveries and CTRPush statistics, with CSV exports by date, device or campaign
How each person moves through a journeyStatistics per node and a CSV by customer
Bot and contact center activityA daily Excel report by email, plus periodic performance reports

FAQs: chat with your campaign data in DataTalk

Do you need to know SQL to use indigitall DataTalk?

No. In DataTalk you type the question the way you would say it, for example which day of the week gets your best results, and you can ask for the answer as a chart, a table or a KPI card. DataTalk interprets the question and translates it into a SQL query on your campaign data, so you never write one.

How does indigitall DataTalk understand natural language questions?

DataTalk uses Gemini, Google's model, to interpret the meaning of a question and translate it into SQL. The whole process runs on Google Cloud, and the queries go straight to BigQuery, which holds the platform's SMS, push and email data, so each answer uses current data.

Does indigitall DataTalk keep my past queries?

Yes. Every query is saved under Your queries, with the question text and the date and time of the last response, and you can search them. Recent queries show in the sidebar, and if the session times out or you close the browser, DataTalk picks the conversation up where you left it.

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