About Data Today

Data Today turns messy AI and data trends into clear charts, sourced numbers, and conclusions you can act on. It is built for people who ship with this technology and are tired of hype. Less press release, more evidence: what actually happened, whether it holds up, and what it changes for the thing you are building or running.

How we work

Every story begins with the primary source: the announcement, the filing, the paper, the dataset. We pull the real numbers, build a chart that makes them legible at a glance, and write a sharp, honest read on what they mean. No recycled takes, no filler.

That gives you:

• Original analysis. A clear point of view on what matters and why, grounded in the data rather than the news cycle.
• Charts you can read. Each piece ships with a labelled chart built from the underlying figures: axes, category names, and values you can check.
• Evidence you can check. Every claim traces back to a named source, so you can verify the work and not just trust it.

What we will and will not claim

We label analysis and opinion distinctly from reporting. A chart built on a sample or on illustrative values says so in its caption. When a number comes from a study or a filing, we name it and link it. Corrections are made in the open rather than quietly edited away. If a piece cannot stand on sourced, specific facts, it does not run.

Drafts come from an automated research pipeline organised into five desks; a named editor reviews and signs off every piece before it runs. The editorial policy spells out who does what, and the corrections log lists every substantive fix.

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Get in touch

Story tips, dataset suggestions, and corrections are welcome. The contact page lists the right address for each, or write to [email protected].