Fennex secures place in the finals of this year’s Offshore Achievement Awards
The team at Fennex are delighted to announce we have been selected as a finalist in this year’s SPE Aberdeen Offshore Achievement Awards (OAA) in the category of Digital Innovation.
Now in its 35th year, the OAA rewards innovative technologies and growth in companies both large and small, as well as significant contributions of individuals within the industry. The prestigious awards, which received a record number of nominations this year, give recognition to the achievements of those who go above and beyond across the energy sector.
Our team is extremely delighted to have been recognise for their role in harnessing cutting edge technology to develop enhanced safety procedures that meet the needs of an industry embracing a digital revolution.
Our Managing Director, Adrian Brown, says:
“We are thrilled to have been selected as finalists in this year’s Offshore Achievement Awards in the Digital Innovation category. The technology we have designed is truly innovative and to be named as a finalist in this category is a great honour for us all at Fennex.”
We are seeing a marked increase in clients who are keen to leverage the power of digital technology to improve safety and efficiency in their operations and we are proud to be at the forefront of delivering this game changing technology.
Huge thanks to the dedicated Fennex team for their hard work and commitment and a grateful thanks to the OAA judges for recognising our contribution to the digital transformation of the industry.”
Our pioneering Behavioural Based Safety Solution (BBSSTM) is a cloud-based intuitive platform that fully transformed the critical offshore safety observation program, providing live visual dashboards and intelligent analytics tools to aid decision-making and improve safety performance.
To allow for varying levels of digital readiness across diverse company structures, our BBSSTM solution includes both an app for mobile phone and tablet use offshore and a paper card specifically designed for conversion to digital data using machine learning.