Fundamentally transform energy generation, transmission, and distribution
Improved grid reliability and energy safety through digital twin technology and energy infrastructure monitoring
Optimized energy production and cost efficiency using advanced AI models
Enhanced decision-making by consolidating data from multiple sources
Client Voice
Our Expertise
Energy Demands
Integrate advanced technologies such as smart grids, AI, and IoT into utility systems to better forecast demand, automate load balancing, and optimize energy distribution.
Renewable Energy Projects
Plan renewable energy projects more effectively by determining the right number of solar panels or wind turbines and the required storage capacity. Our AI models analyze site conditions, costs, and regulations.
Asset Management
Implement digital asset tracking and remote monitoring to gain real-time visibility into your infrastructure and resolve issues faster. Predict equipment failures and reduce costs.
Vegetation Management
ML models analyze growth patterns, species, terrain, and weather data to predict vegetation risks at the individual tree level, helping utilities target high-risk areas and plan maintenance efficiently.
Design and Construction
Our Insights
white paper
How Gen AI Assistants on Google Cloud are Changing eCommerce
Improve Corrosion Management and Ensure Asset Integrity With ML and Computer Vision
Pinnacle, a leader in data-driven solutions for oil, gas, chemical, mining, and water industries, wanted to help clients build stronger data reliability programs by connecting data collection and intelligence in a single solution. They turned to SoftServe for our edge technology expertise. Read the full story to see how we made it happen.
Vodafone launched Developer Marketplace, a unified digital platform giving internal teams and developers easy access across the company. They chose Google Cloud Apigee X for API management and partnered with SoftServe to ensure a smooth implementation using our Apigee expertise.
Data-Driven Emissions Optimization With a Cloud-Based Solution
TS Cyanergy partnered with SoftServe to build a cloud-based solution using Cyanergy’s sensors to measure emissions accurately and optimize engine performance. The platform tracks drilling rig data, monitors performance over time, and uncovers cost savings across oil and gas operations. Read the full case study to see the results.
AI models analyze weather, site conditions, costs, and regulations to create robust plans and schedules, ensuring clean energy sites are built on time, within budget, and run efficiently.
Customer Experience
Estimate potential savings in utility programs and share this valuable information with customers, promoting transparency and empowering them to participate in energy conservation efforts.
white paper
Robotics in Warehouse Operations: Scaling Automation for the Intelligent Enterprise