Ask in plain language.
Type a question the way you'd say it — no SQL, no query builder, no report backlog. DataTalk classifies the request, decides whether it's analytics or an action, and picks the best route before touching your data.
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The AI assistant on top of your CDP. Charts, tables and KPI cards from plain-language questions — and agentic actions like building a segment from a single sentence. Live data, right in the platform. No SQL, no waiting on an analyst.
Type a question the way you'd say it — no SQL, no query builder, no report backlog. DataTalk classifies the request, decides whether it's analytics or an action, and picks the best route before touching your data.
Before running anything, DataTalk verifies access and security— you stay in control. Then it queries your CDP and campaign data live via MCP: real numbers from the platform, never a stale export.
You get a chart, table or KPI card from live data in seconds — and DataTalk can execute the next step too, like creating the segment or audience, ready for the journey. Answers, not dashboards.
Runs on live CDP data, inside the platform, with cost and security checks on every query. Ask, get the answer, execute — no SQL, no export, no waiting on an analyst.
DataTalk runs on the same enterprise platform as every indigitall channel — the orchestration, security, unified data and live integrations that let it not just report, but act on what it finds.
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.
The Model Context Protocol connects the agent to any external system in real time — CRM, ERP, inventory, payment, healthcare record, or proprietary API. The agent fetches data, calls functions, and writes results back. Real actions, not simulations.
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.
Every response passes through a security filter before delivery — blacklists, brand-safety guardrails, and content moderation. RAG training on client-only data means the agent never hallucinates from public internet content.
Every resolved interaction, every escalation, and every drop-off feeds back into the model. Resolution accuracy improves over time without manual rule-writing.
When an interaction requires human judgment, the agent hands off to a live agent in the Contact Center — with the full conversation history, customer profile, and attempted resolution steps already loaded. No cold handoffs.
Real scenarios where a plain-language question becomes a chart, a segment, or a report — in seconds, on live data, with no SQL.
Describe the audience in plain language and DataTalk builds the segment in the system, with the right filters — ready to drop into a journey.
Ask about performance and DataTalk answers with the chart or KPI card — live data from the CDP, no analyst, no dashboard hunting.
Turn a question into a table or report in seconds — pull it when you need it, not when the analyst backlog clears.
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.
Trained on your content — product catalogs, FAQs, policy documents, service data. Nothing from the public internet. No hallucinations from Wikipedia or news content.
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.
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.
G2 is the world's largest B2B software review platform — 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.
430+ verified reviews across 8 categories — measuring delivery performance, AI capability, and platform reliability in production.
Recognized for AI conversational capability across global, EMEA, and European markets.
The fastest-growing platform in the category — ranked above all competitors on traction and growth trajectory.
Highest usability score in the category — teams configure and run OmnIA Agents without heavy IT overhead.
Top-rated platform in Europe and Latin America — by verified customer rating, two separate G2 Regional Grids.