Discover how Veracell's expertise in data processing, machine learning, and analytics is transforming industries. We empower businesses to make data-driven decisions for enhanced efficiency and profitability.
Our cases include wind and solar power forecasting, customer segmentation for electric utilities, prediction of spot price spikes, proactive quality analytics, and predictive maintenance services.
We built a Microsoft Azure Cloud-based system that stored and processed real-time IoT data to create an AI model for estimating energy-saving potential and guiding ventilation adjustments. The solution led to significant energy savings and improved ventilation efficiency.
Our solution uses drone-based LiDAR technology to capture point-cloud data, which is then processed by our algorithms to estimate tree types, heights, and volumes. This information is invaluable for forest management and valuation.
We created an AI model that predicts the yield of industrial processes based on IoT measurements and process parameters. Our real-time dashboard helps operators optimize processes and maximize yield by adjusting parameters in response to forecasted outcomes.
Our AI model analyzes data from over 50,000 IoT sensors and automation control parameters to predict the risk of machine breakdown within the next 3 hours. This real-time monitoring system helps paper manufacturers avoid expensive downtime and improve overall efficiency.
We developed an AI model that predicts the risk of spare part failure several weeks in advance. This allows shipyards to proactively replace parts with elevated risk during planned maintenance windows, reducing costly downtime.
Our cloud data analytics solution combines statistical process control and machine learning techniques to predict product quality in real-time. This enables manufacturing companies to prioritize laboratory assessments and improve overall quality control.
Our AI-driven segmentation algorithm analyzes detailed historical energy consumption data to create targeted customer segments. This enables electric utilities to tailor pricing models and refine sales and marketing strategies for maximum impact.
We use deep neural networks to accurately predict solar and wind energy generation up to 3 days in advance. Our solution helps clients better plan their production by integrating real-time weather data and forecasts, and providing an intuitive web-based interface for operators and brokers.
“Veracell was able to effectively plan and carry out our data model development project, providing us useful competence to develop our reporting platform. Communication with Veracell was continuous and smooth throughout the project.”
"From Veracell we found a professional team that we had been looking for to advance our lifecycle modeling. The results of the project are promising and lead us towards a production solution."
- Tomi Krogerus, Senior Manager of Analytics and AI
