Digital AI Disruption

Within the Energy Sector

With a passion to solve the challenges facing the energy industry, experts from both the energy and artificial intelligence sectors joined forces to create OriGenAI. Our mission is to push the boundaries of AI in the energy sector by producing and commercializing disruptive research. Our platform predicts and optimizes complex processes crucial to energy supply with world-leading performance. More efficient energy production is not only a matter of money but also critical to our shared environment.


Research in deep reinforcement learning

Many of the most challenging optimization problems cannot be solved with conventional approaches. The problems facing the energy industry are more complex and dynamic than ever before. Our team has developed unique, deep reinforcement learning algorithms which have been used for real-time optimization and planning across multiple domains, and have yielded unprecedented results.

Research in predictive analytics

Our new deep learning architectures substantially improve prediction within complex chemical industrial processes. We can predict the outcome of complex industrial processes several hours in advance, allowing for better-informed predictive analytics to drastically increase the efficiency of industrial processes. Better decision-making improves performance and saves millions of dollars in energy costs.

Research in Generative Adversarial Networks

We pioneered the use of Generative Adversarial Networks (GANs) to augment datasets. By learning from essentially boundless datasets, we implement optimal solutions for unforeseen situations. We lead the market in analytical techniques to better predict the precise outputs of refineries, wind farms, etc. allowing energy companies to lower the cost per barrel or megawatt.

Our Platform

Our unique platform allows users to:

  •  Work with predictive analytics
  • Monitor the manufacturing, industrial and energy processes
  • Allow the operators to control and modify the process
  • Predict outcomes 2 hours in advance
    Save millions of dollars on Energy Cost, Efficiency and Output

Oil Refinery 4.0:

1 Provide robust predictive analytics tools to increase efficiency

2 Optimize refinery controls system to increase efficiency

3 Reduce operational cost

Exploration and Production:

1 Optimize field development plan in real time (adapt locations and well control optimization based on on-line information)

2 Provide robust reservoir predictive models that don’t require expensive reservoir simulator tools

3 Use predictive analytics tools to control and monitor oil reservoir wells

Renewable energies:

1 Optimize turbine controls (including yaw, pitch, angle, and brake) to maximize output at system and farm levels

CEO & AI expert in Oil & Gas

Ruben Rodriguez Torrado


AI energy expert with 10 years of experience leading projects as principal investigator in AI and Oil and Gas at IBM and Repsol. Ruben has more than 15 patents, tens of publications and was recognized by the World Economic Forum as a leading subject matter expert in AI and Oil and Gas in 2017. He was the principal Artificial Intelligence advisor for Repsol and IBM during the last 4 years, leading the digital transformation and several research projects such as (Excalibur and Pegasus).

Artificial Intelligence
Machine Learning
Predictive analytics


137 Varick Street, New York