The market leader in


Your data in, automated written reports out.

  • We apply our software to your data and explain what it means, in language that people understand.
  • Our patented AI Natural Language Generation technology goes beyond simple templates, extracting and communicating the insights hidden in your data.

Three ways we help your data tell its story

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Arria's Robert Dale: ' If data requires explanation, Natural Language Generation is the solution!'

AI Business recently spoke to Robert Dale, Arria’s Chief Technology Officer, about the potential he sees in applying natural language generation, and how he sees the benefits of AI in his industry.Arria is the leader in real-time data storytelling. Our core product is known as the Arria NLG Platform, a form of artificial intelligence software that specializes in extracting information from complex data sources and communicating that information in natural language. We configure the Platform for a wide range of client needs; and we also offer its technology as pre-packaged SaaS Products and as a Software Development Kits (SDK) via the NLG Cloud which has APIs that allow developers to add NLG functionality to their own applications.


AI Summit - New York

When: 1 December 2016

Where: Convene, Times Square, New York, USA

Arria is delighted to be attending the first AI Summit, New York, where Dr. Robert Dale has been invited to speak and share his insights and experience into NLG technology in his talk:

Let Your Financial Data Speak

Natural Language Generation – NLG – is the subfield of AI that’s concerned with turning data into language. This technology is empowering businesses to automate the analysis and interpretation of their data, and embed their domain expertise into software so that it can write detailed reports in seconds. In this presentation you’ll find out how NLG explains the meaning of data in terms that can be understood by anyone. NLG demystifies data and communicates insights, enabling businesses to act quickly on information that previously took hours or weeks to obtain manually. Applications of NLG are found wherever there’s data that has a story to tell; but it’s proving particularly useful when we’re talking about financial data. We look at three uses cases in the financial services domain where NLG can add value beyond other ways of presenting data. No more puzzling over graphs and charts, wondering ‘But what does it mean?’. Move over, visualization: we’re entering the era of textualization.