The Energy, Power and Utilities industry is experiencing the transformative potential of AI throughout its value chain, driving enhanced performance in oilfields, plants, and beyond. Sozan AI serves as the perfect data science partner for operators, leveraging AI-derived insights to inform strategic and operational decision-making.

Partner with our team of AI, ML, and advanced analytics experts to solve problems across a vast variety of energy, power and utilities use cases.

Partner with our team of AI, ML, and advanced analytics experts to solve problems across a vast variety of energy, power and utilities use cases.

Partner with our team of AI, ML, and advanced analytics experts to solve problems across a vast variety of energy, power and utilities use cases.

Use predictive analytics like condition-based monitoring and variable analysis to construct scenario-based simulations to identify likely future maintenance events and undertake any necessary maintenance before the equipment is damaged.

Predictive modeling allows companies to evaluate pipeline risk based on vulnerability and impact to increase overall safety, decrease time from incident occurrence to incident identification and contribute to improved decision making.

Data and analytical tools can inform decision-making by helping sales representatives assess customer profiles, drill down into historic order volume, and develop more efficient processes for capturing deals, thereby transforming upselling from a static,

NLP can help field employees by analyzing their information requests — such as on-the-fly requests for safety rules, real-time information on performance — and then querying a consolidated database of internal.

NLP can help field employees by analyzing their information requests — such as on-the-fly requests for safety rules, real-time information on performance — and then querying a consolidated database of internal.

NLP can help field employees by analyzing their information requests — such as on-the-fly requests for safety rules, real-time information on performance — and then querying a consolidated database of internal.

Stay informed about the state of your Cloud systems and take corrective measures proactively, by leveraging centralized logging and monitoring systems like Cloud-based app monitoring, with personalized parameters and alerts.

Stay informed about the state of your Cloud systems and take corrective measures proactively, by leveraging centralized logging and monitoring systems like Cloud-based app monitoring, with personalized parameters and alerts.

Stay informed about the state of your Cloud systems and take corrective measures proactively, by leveraging centralized logging and monitoring systems like Cloud-based app monitoring, with personalized parameters and alerts.