ARRIA NLG plc is a software development business. Its target is to be the global leader in the development and deployment of mission critical, core industrial, enterprise level Natural Language Generation software technologies. Natural Language Generation (NLG) is the computerised process of analysing and converting Big Data into actionable information.

The Group's core product is known as the Arria NLG Engine.

Global corporations are having to deal with an ever-growing amount of data resulting from the digitisation of transactions and industrial processes and from technological advancements in data capture. Computer networks are now producing and storing digital data at such a rate that this data is becoming increasingly difficult to be fully utilised. This development and the challenge to make optimal use of this data has become known as "Big Data".

The market opportunity for the Arria NLG Engine has grown substantially through the emergence of the Big Data phenomenon.

The Arria NLG Engine is a form of artificial intelligence, specialised in communicating information which is extracted from complex data sources in natural language (i.e. as if written by a human).

The Arria NLG Engine comprises of two main elements:
•an analytics component that is programmed to embody the expert knowledge of the domain in which it operates; and
•a natural language generation component, which embodies the skill required to communicate information articulately using natural language.


This combination of analytics and natural language generation means it can be used to automatically generate written reports in potentially any language for any audience that reads as if written by a person expert in their field. The Directors believe that the Arria NLG Engine provides value where many Big Data analytical tools are limited at the human-machine interface, being the point at which analytic results are communicated to humans.

The Arria NLG Engine automatically communicates results, not in numbers or graphics that may require further analysis and explanation, but in narratives that are designed to read as if written by a human expert. Although it is early days for the Group’s business, its technology is already deployed in a mission critical environment, monitoring large scale industrial machinery located on oil and gas production platforms in deepwater Gulf of Mexico for a major global oil and gas company and at a government national weather service.

The scientific foundation for the Arria NLG Engine has been developed over the past four years, but is based on more than 20 years of research and knowledge gained by the Data2Text Founders at the University of Aberdeen.

In 2009, the University of Aberdeen, Prof. Ehud Reiter, Dr. Yaji Shripada, Ian Davy and John Perry formed Data2Text Limited to develop and commercialise various NLG technologies.

Since 2009, the Data2Text science and technology team has continued to develop the commercial potential of its NLG software technologies culminating in the Arria NLG Engine.

Arria has been working with Data2Text since May 2012 when it acquired a 20 per cent. interest in Data2Text and was granted an option to acquire the remaining 80 per cent. On 25 October 2013 Arria acquired the remaining 80 per cent. of Data2Text.


https://www.arria.com/

Stock Information

https://www.arria.com/investorrelations/keyfacts-A710.php

Arria NLG soars on AIM admission as Big Data prospects excite

Thu, 05 December 2013



With technology described by Shell as a “game changer” for the oil industry, Arria NLG has floated its shares on AIM without raising any new funds as it looks to improve its profile and win new clients.

The company had a market cap on admission of around £102m at a share price of 100p, but this quickly soared to £162m as the shares hit 159p just after midday.

Developed by the University of Aberdeen, Arria’s software is based around the concept of natural language generation (NLG), whereby it transforms large sets of data into manageable reports.

For example, with one meteorological client the software takes a huge data set of weather information from all over the globe and can write a 5,000-word location-specific weather forecast in under one minute.

“The software understands the company’s rules for writing reports and turns this mass of data into forecasts – it understands rules better than humans,” explained Chairman and Chief Executive Stuart Rogers.

Perhaps more lucratively, the company has a contract with Royal Dutch Shell for Shell’s platforms in the Gulf of Mexico, where Shell have described the technology as a “game changer” for the oil industry.

Rogers said the software acts as a “force multiplier” on the oil and gas platform, where if there are any significant changes detected by the hundreds of motion sensors that monitor pumps, gears and other equipment a senior engineer usually will need to take between two and five hours to write a report for the platform operators. NLG completes the report in one minute.

The stock market listing is designed to raise the company’s profile and support the development of the Arria NLG brand internationally, give access to equity capital as needed, facilitate the recruitment of high calibre employees and provide liquidity in the company’s shares.

“The increasing growth in ‘Big Data’ in recent years has led to the significant expansion of our target markets,” said Rogers. “Our listing at this time is therefore highly appropriate.”

Admission to AIM & first day of dealings

http://www.moneyam.com/action/news/showArticle?id=4719088

What Is NLG?

ARRIA NLG technology can help tame Big
Data by creating instant plain English
narratives from complex data streams—
narratives you would believe were written
by a human expert—just for you.


How NLG Works

Natural Language Generation (NLG) is
an advanced computational linguistics
technology — it can profoundly impact
how mankind interacts with data in
every area of life.


Arria Innovations

Our vision is to be the global leader in
the development and deployment of mission
critical, core industrial, enterprise level
Natural Language Generation (NLG)
software technologies.

Thankyou dc

A company involved in the Big Data phenomenon. You could see this was going to fly within quarter of an hour of the market opening this morning.

Thanks BAYLIS, Keep an eye out as I have said before for the IPO of Rosslyn Analytics. Could be well worth backing from day 1. BIG DATA company, again an area enjoying exponential growth rates. :-)

Should have told us about this at about ten past eight this morning DC :-)

Watched it for 5 mins, then and off to work. I have made up for it with the tip off Rosslyn above :-)) , when it comes to market.


With technology described by Shell as a “game changer” for the oil industry, this share should go far. Arria NLG (NLG)

LISTEN: Stuart Rogers, CEO of Arria NLG, talks about the company's recent admission to the AIM Market

Click here to listen

UP 73% :-))

Any thing in my opinion to do with Big Data is going to rocket.

Been for a dog walk and its now 87% up today. Linked to Big data.

hmm ..... just 3 MMs and nearly 10% spread

clearly this is a sector you know something about .... how come?

Like I said Big data is taking the market by storm. The markets are hungry for big data, with plenty of cash waiting. I am waiting for the Rosslyn Analytics IPO. A £100 million float on the AIM. Was going to be at the back end of the summer. There is a clear shortage of investment opportunities in Big data.

Closed up 73.85%

IG quote it for CFDS, but their L2 platform for same was totally up the creek, but i have reported it to them

:-))

Will NLG Replace 3D Printing as the Next Big Thing?

http://uk.advfn.com/newspaper/lou-gutheil/23166/will-nlg-replace-3d-printing-as-the-next-big-thing

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In Saturdays Mail - Monday may just be interesting.

Many have tried to fill their boots with Arria NLG since the artificial intelligence software company joined AIM on Thursday at £1, with a valuation of £102m. They found stock in short supply and market-makers have had no option but to mark the price higher.

Buying was nevertheless sufficient to lift the stock to a spectacular close of 162.5p on debut day.


Yesterday, renewed demand in the restricted market saw the shares rocket to 368p before closing a further 120p higher at 282.5p, lifting its valuation up to £298m after only two trading sessions.


The attraction of Arria is apparently its Natural Language Generation technology. Its ‘NLG Engine’ is able to absorb and analyse large data sets and produce written reports in plain English.


Its technology already monitors large-scale industry machinery located at most gas production platforms in deepwater Gulf of Mexico and is in use at the Met Office.





http://www.dailymail.co.uk/money/markets/article-2459391/MARKET-REPORT-Investors-boost-AIM-Isa-rule-change.html

===================================================


By: David Thornton 05/12/2013



The biggest problem with big data is that there aren’t enough people to make sense of it all.

The amount of information in the world is ‘mushrooming’. And as we know, business or industrial processes generate enormous amounts of data. This information can contain crucial insights, but it takes a lot of time and effort to decipher it all. An expert has to interpret the data and then report on it… and there just aren’t enough experts.

This is where Arria NLG (LSE: NLG) comes in. Arria’s ‘NLG Engine’ (natural language generation engine) is able to absorb and analyse large data sets and produce written reports in plain English. Its reports read like they were written by a person rather than a machine, and they’re tailored to the audience. And because they are authored by a computer, they can be produced much more quickly and in whatever language is needed. Arria says that NLG technology “brings incomprehensible data to life”.

Clearly, Arria builds some interesting technology. So the company has decided to list on the stock market. It listed on AIM this week but unlike most IPOs, it isn’t raising any new money. It already has a wide shareholder base of over 200 investors and has enough money for the time being, so it has listed by way of an ‘introduction’. The opening listed at 105p but by mid-morning the shares were up by 50%, valuing the company at over £150m!

Arria’s first client

Like many exciting tech stocks, Arria started at a university. Aberdeen in this case. Twenty five years research and experience have got the company to where it is today as a leader in NLG. And the £150m company is only just beginning to make commercial sales. With its background in Aberdeen, oil and gas is the first industry to use the product.

The first client is an energy major that has worked with Arria since 2009. Earlier this year it signed a contract to install the NLG Engine on its deepwater platforms in the Gulf of Mexico. The industrial equipment on these rigs generates hundreds of data points every minute. If a machine developed a problem an expert would have to analyse the data to come up with a recommended course of action. Instead, the NLG Engine will produce a report much more quickly and in natural language that can be readily understood and acted upon.

In order to make sense of the data inputs, the engine gets programmed with company-specific information. After that, it’s ready to make reports without human intervention. The process is a lot more efficient than using people for the same work.

Can Arria crack finance?

Arria is aiming to broaden out into other industries. Obviously, it takes time to build an expert knowledge base in new areas. But the technology is already being used by the Met Office. Modern weather forecasting relies on the interpretation of massive amounts of raw data. This is where that ‘scalability’ comes into its own. The NLG Engine can write a detailed three-day weather forecast for 5,000 different locations in just one minute. A single forecaster would take six weeks to create this amount of output. And the forecasts can be instantly re-written as the data inputs change.

As well as oil and gas, Arria is targeting the financial services sector. But it doesn’t yet have an anchor customer. It will be very interesting to see how quickly it can add new clients in energy and make headway in the financial services space. Arria enjoys a decent valuation, so sales and marketing to build new commercial relationships is going to be important. The market is clearly impressed by the technology though. The automation of an expert’s role in this way is hugely impressive – the machines are taking over!

SMALL CAP MOVERS: 2013 a good year for FTSE AIM 100 - barring last-minute festive surprises


By Jamie Ashcroft, Proactive Investors

PUBLISHED: 14:55, 6 December 2013 | UPDATED: 14:55, 6 December 2013



The idea behind Arria NLG’s (up 116 per cent today at 352.5p) launch on AIM this week was to raise the group’s profile, and judging by the quick rise in the share price this was duly achieved. The software firm specialises in natural language generation (NLG) – which basically means turning hard numerical data contextually into words and simple English (or other ‘human’ language).


After just two days on the market its shares are now worth almost three times more than the price of its last pre-float funding – in which it raised £9.85mln at £1 per share.




http://www.dailymail.co.uk/money/markets/article-2519427/2013-good-year-FTSE-AIM-100--barring-minute-festive-surprises.html

The ARRIA NLG Engine is monitoring large-scale, mission-critical machinery located on oil and gas production platforms in deepwater Gulf of Mexico

A typical deepwater oil platform is a highly complex, integrated, industrial production facility operating 24/7/365. Its production capabilities depend on a number of large scale rotating machines such as turbines, compressors, pumps, generators and engines. An oil platform operates in one of the most challenging production environments in the world. The production output as well as the safety of the oil platform both depend on the reliable performance of its rotating equipment. When equipment begins to perform outside acceptable operating envelopes, embedded sensors detect the issue and cause alerts to be generated. In addition to rotating equipment, alerts cover a wide range of sources including wells, facilities, and sub-surface equipment. These alerts are monitored by automated systems and highly skilled engineers.

An Example of the Current Monitoring Situation in Complex, Multi-Asset, Surveillance Centres
1.Automated systems monitor data streams and raise alerts.
2. Expert analysts assess whether alerts are valid and need to be further investigated.
3. For valid alerts, the experts write a situational analysis summation which includes context and background.
4. Subject matter experts then further analyse the situation, and create a service recommendation for the equipment.

The problem is that while current monitoring systems generate alerts and notifications, they cannot articulate what has gone wrong. So expert engineers with decades of experience are required to analyse the alerts. But there is such a vast array of equipment generating so many thousands of alerts, it is impossible for human experts to analyse them all. Some control centre operators have likened this data overload experience to “drinking from a fire hose”. Further, the level of expertise required is so high, there is an acute shortage of human experts available to accurately analyse all of the alerts. As a result, alerts are missed and production suffers.

The Arria NLG Engine Effectively Solves This Problem

The Arria NLG Engine effectively becomes the expert. It instantly, automatically, continuously, accurately and effortlessly:
•Reviews every alert even in the absence of the expert.
•Performs analysis that determines what the alerts mean.
• Provides a plain English report identifying which alerts need the expert’s attention and provides the situational awareness that allows the engineer to immediately formulate an action plan to correct the cause of the alerts.

The Arria NLG Engine determines and reports the problem and solution faster than the engineer ever could. It saves each engineer hours of analysis and report writing per day. It works around the clock—never sleeping.1