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UCapital News · For companies and managers

Get known worldwide. From a single channel.

UCapital News is the global channel that puts companies and managers in front of investors, clients and international partners: in Italian and English, on the Wire, in Voices and in the Brief. Simple to activate, fast to publish, effective in results: every contact lands in your CRM.

One single, global channel

Global

One channel, two languages, readers worldwide.

Simple

Pick the format and send: we handle the rest.

Fast

Live in hours, distributed across news, the entity page and the Brief.

Effective

Content in front of the right people, contacts straight into your CRM.

Wire

Press releases and updates, single or bundled. Distributed on UCapital News, the entity page and the Brief.

On request

Publish a release →

IR Package

For listed companies: an Investor Relations channel, documents, calendar, price-sensitive releases, IR contacts.

On request

Let’s talk →

Brand Studio

Sponsored content, always labelled, written with the editorial desk, with readership data.

On request

Let’s talk →

Voices

Editorial interview with founders, CEOs and managers, produced by the UCapital desk.

On quote

Request your Voice →

Let’s talk

Fill it in and we’ll get back to you: it creates a lead in the UCapital CRM.

Want to do it yourself? Pro gives you a business page and a CRM; releases are purchased single or in a pack. Pro →

Raising capital? Capital Markets includes Pro and the Deal Flow. Capital Markets →

What are you interested in

Wire
IR Package
Brand Studio
Voices

AI use policy. UCapital AI supports the newsroom with news analysis, summaries, market reactions, translations and the generation of cards and charts. AI-generated or AI-assisted content is labelled in the byline (AI Desk or joint byline) and is reviewed by editors before publication. News received via API feeds from third-party providers is attributed to the original source. AI can make mistakes: report any inaccuracies to the newsroom. Users’ personal data is not used to train the models.