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AI will answer any question you ask it.
Even when it's wrong.

Watch the on-demand session: how to build data your AI can actually be trusted with — demonstrated live, from raw source to answers in seconds.

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The part most AI demos skip

Connecting an AI tool to your data is easy. What nobody shows you is what happens when the data underneath is poorly modelled, ungoverned, and inconsistently defined. The AI still answers — fluently, confidently, and sometimes completely wrong. And by the time a decision's been made on it, nobody can tell.

In this session we do the part everyone else glosses over. Using public 2026 World Cup data, we take raw source data and build it into a governed, AI-ready layer in the TimeXtender Data Platform — live, from scratch, no slides hiding the messy bits.

Then we hand it over

Once the layer's built, we expose it through MCP Server, connect an AI interface, and take real questions. Plain language in, trustworthy answers out — trend analysis, multi-tournament comparisons, head-to-head records — the kind of thing that normally takes an analyst hours in a dashboard, answered in seconds. Because the data behind it is actually ready.

The football is just the example. What you'll take away is what “AI-ready” really requires — and why it's the foundation everything else depends on.

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Frequently Asked Questions

About Timextender

Timextender offers the Timextender Data Platform, a unified platform with four modules: Data Integration, Data Enrichment, Data Quality, and Orchestration. The modules operate independently today as standalone products, and we are actively unifying them into a cohesive web app, eventually connected by shared metadata across the platform.

Timextender helps teams build AI-ready data using metadata-driven automation across any data source, while supporting deployment across cloud, hybrid, or on-prem environments.