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More stories. Closer to home.

This is the basic logic behind the automated editorial content we send to local news publishers in Scandinavia, Europe, the UK, the US and Canada every day.

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Newsroom resources are limited. Local stories are endless.

With United Robots’ automated content you can provide coverage where previously there was none. 

Our mission is to empower local news publishers. We help newsrooms:
– free up reporter time

– expand coverage

– and grow business

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We do this by providing routine reporting – done by our robots, built on structured data and Natural Language Generation (not GenAI) on topics like sports, real estate and extreme weather. Delivered directly to your CMS, complete with images, maps, graphics and metadata.

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The result: You can cover more topics, across more geographies, reaching more readers with relevant content.

With no impact to your journalists’ time.

Automated content drives most value for local publishers.
We know because we've done it since 2016.
And we're here to help you get started.

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We're a tech company, buildling text robots. But we're also a company with a big focus on people – those who work here and those we collaborate with in local media organisations.

We work in close partnership with our customers. Because what we do is new to most of them.

The tech is the easy bit – the trick is to understand how it can best be used to drive value for local newsrooms and the communities they serve.

Local publishers use automated content at the intersection of journalism, audience and business imperatives.

This is how some of our publishing partners leverage it.

Advance Local, USA

Problem solved: Because automated editorial content is created from verified, structured data, it can safely be automatically published – from reliable data comes reliable text. This reliability lies behind a number of values gained in the newsrooms of Advance Local who publish automated weather warnings.

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READ FULL CASE

Polaris Group, Norway

Problem solved: With a local newsroom of only a few journalists, how do you create enough relevant content to attract and keep paying subscribers? That question is at the heart of a project around automated content at local media group Polaris Media in Norway. The starting point was obvious: real estate sales and local business had been top scoring topics or interest among readers for the past few years. Initial results are remarkable: every second to third automated article generates a subscription sale.

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READ FULL CASE

McClatchy, USA

Problem solved: McClatchy identified gaps in the reporting – topics driving new audiences which the publisher didn't have the reporter power to cover. Robots were deployed for some of the bulk routine reporting of information topics like high school sports and real estate sales.

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READ FULL CASE

Bergens Tidende, Norway

Problem solved: Local business was an underreported segment at Bergens Tidende, as reporters' time was focused on investigative journalism rather than breadth of reporting. With the Business bot automating company annual reports, the publisher can suddenly cover all industries. Bonus: the business coverage is a smash hit with subscribers.

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READ FULL CASE

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© 2023 WAN-IFRA World Association of News Publishers

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