Picture of Seeing Machines logo

SEE Seeing Machines News Story

0.000.00%
gb flag iconLast trade - 00:00
TechnologyAdventurousSmall CapSucker Stock

REG - Seeing Machines Ltd - Issue of Shares





 




RNS Number : 3439C
Seeing Machines Limited
28 September 2018
 

 

Seeing Machines Limited

 

28 September 2018

 

Issue of Shares

 

Seeing Machines Limited (AIM: SEE, "Seeing Machines" or the "Group"), the advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety, has today issued 33,062,772 ordinary shares of no par value in the Group ("New Ordinary Shares") to be held in the existing Group trust (the "Trust").

 

The New Ordinary Shares, which rank pari passu with the existing Ordinary Shares in Seeing Machines, will be held in the Trust until such time as the beneficiaries of the Group's Employee Benefits Plan (the "Award"), the terms of which were announced on 2 November 2017 and 15 June 2018, exercise the performance rights and options. On the exercise of such performance rights and options, the Trust will transfer the shares to the relevant beneficiary.

 

The abovementioned Awards span forty people within the Group and form the basis of long-term incentive plans which are used to attract and retain world class scientific, engineering and business talent.

 

Application has been made for the New Ordinary Shares to be admitted to trading on AIM and admission is expected to occur on 4 October 2018 ("Admission"). Following Admission, the total issued share capital of the Group will be 2,286,449,115 Ordinary Shares with no Ordinary Shares held in treasury. Therefore, the total number of voting rights in the Group post Admission will be 2,286,449,115 and this figure may be used by shareholders as the denominator for the calculations by which they will determine whether they are required to notify their interest in, or a change to their interest in Seeing Machines. 

 

Enquiries:

 

Seeing Machines Limited www.seeingmachines.com

+61 2 6103 4700

Ken Kroeger, CEO

Sophie Nicoll - VP, Marketing & Communications


Cenkos Securities plc (Nominated Adviser and Joint Broker)

Neil McDonald/Beth McKiernan/Pete Lynch

+44 131 220 6939

Canaccord Genuity Limited (Joint Broker)

+44 20 7523 8000

Simon Bridges/Richard Andrews


Instinctif Partners

+44 20 7427 1412

Adrian Duffield/Kay Larsen/Chantal Woolcock


 

This announcement contains inside information for the purposes of Article 7 of the Market Abuse Regulation (EU) No. 596/2014.

 

About Seeing Machines - www.seeingmachines.com 

 

Seeing Machines (LSE: SEE), a global company headquartered in Australia, is an industry leader in computer vision technologies which enable machines to see, understand and assist people. The Company's machine learning vision platform has the know-how to deliver real-time identification and understanding of drivers through Artificial Intelligence (AI) analysis of heads, faces and eyes. This insight enables Driver Monitoring Systems (DMS), which monitor driver/operator identification and attention and can detect drowsiness and distraction across multiple transport sectors.

 

Seeing Machines develops DMS for the Automotive, Commercial Fleet, Aviation, Rail and Off-Road markets. The Company has offices in Australia, USA, Europe and Asia, and delivers multi-platform solutions to industry leaders in each vertical.

 

DMS is becoming a core safety technology integrated into ADAS offerings for the automotive industry, particularly with the development of semi-autonomous and self-driving cars. DMS is also increasingly seen to be an integral safety feature across the Commercial Transport & Logistics industry globally.


This information is provided by RNS, the news service of the London Stock Exchange. RNS is approved by the Financial Conduct Authority to act as a Primary Information Provider in the United Kingdom. Terms and conditions relating to the use and distribution of this information may apply. For further information, please contact rns@lseg.com or visit www.rns.com.
 
END
 
 
IOEKVLBLVKFEBBX

Recent news on Seeing Machines

See all news