About Us


Market trends and potential.

  • There is a huge buzz for Machine learning applications, potentially in many industries worldwide
  • Renewable energy have a Growth of up to 10 % per year until 2040 (Statoil New ventures) Siemens Romeo developed a ML for maintenance of the wind turbines.
  • Other potential competitors are Accenture, IBM, Google
  • There are some niche players developing solutions by market as well, like Tachyus in oil and gas and aerospace.
  • The wind offshore is environmental friendly and trends with the Paris Agreement on Climate (COP21) of Dec. 2015
  • Goal is to reduce with New designs and strategies the LCoE below 0,098 €/kWh by 2025 and 0,08 €/kWh by 2030.

Wunder Ocean increase the efficiency of wind farms with its innovative technology; reducing cost, time and construction & logistical operations

Improving the efficiency in the Wind Energy sector

Onshore & Offshore


Alex Godard

CEO. +10 years of experience in management and business development positions in oil in North and West Africa, Middle East and Europe. Stanford trained on machine learning, deep learning and reinforcement learning.

Pablo Gascón

CTO Engineer. Expertise in Design as well filing Patents for innovative products. Experienced in trouble shooting and identifying solutions.

Jorge Dot

+17 years as consultant specializing in the industrial sector, having worked on projects in automotive, steel, food, energy, gas and oil sectors. In 2006 he started his own company to develop power generation projects based on renewable sources..

Global Opportunity

 Values: The Values that represents Wunder Ocean are  

  • Professionalism
  • Engagement
  • Research
  • Innovation
  • Experience
  • Trust  

The offshore wind and onshore sector are booming due to the need to meet the EU's emissions reduction targets . The Wind industry has to find ways to be more efficient in terms of design, construction, maintenance and safety and hygiene. 

Wunder Ocean aims to enter the market by offering innovative solutions for onshore and offshore, through "Software" and "IP". Helping to implement wind energy globally saving costs, reducing logistical requirements and time, thus optimizing the LCoE.