Energy & Utilities
From oil and gas to electricity and renewable resources, SFL Scientific helps global utility and energy companies leverage cutting-edge machine learning techniques that provide predictive maintenance capabilities that help plan corrective actions and can optimize costs to computer vision inspections for quality control.
We Work with Top Energy & Utilities Companies
Creating Novel Machine Learning Solutions for the Energy and Utility Industry
The energy industry is undergoing a rapid transition driven by new energy types, changes to distribution models, and market shifts in supply and demand. Stay ahead by engaging AI to make your power/utility business more dynamic, resilient and sustainable.
Preventive Maintenance Optimization
Analyze both device component service calls and records while examining device utilization logs events to model optimal maintenance schedule thresholds relative to acceptable downtime, costs, and scheduling.
NLP / Time-Series
Developed a deep learning-based pipeline to identify, localize, and segment 20+ defects within high-end wafers and dies. Autonomous system performs all QC in the clients manufacturing workflow
Synthetic Fault Detection
Fault detection from vibration measurements require a combination of manual inspection and rule-based algorithms. Machine Learning (ML) is a promising approach for automating the detection for these types of faults in a faster, more reliable, and less labor-intensive manner.
Piping Corrosion Wear Rates
Flow-accelerated corrosion (FAC) wear rates are time-consuming and laborious, involving manual data inspections. The goal is to create a time series algorithm to predict FAC wear rates.
People Powered from Data Management to Custom Solutions and Deployment
Energy and Utility providers and companies know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.
Our US-based team of data scientists, consultants, and engineers can guide you through the process of driving real business value with AI. We will work to understand your AI business cases, identifying unique areas of innovation that require further research with proof of concept through building models and deploying sustainable, performant AI business applications at scale.
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We’d like to help creating your next solution, whether modernizing legacy platforms or developing new AI solutions. Technology moves fast, let’s build sustainable solutions.