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
Veracell has a proven track record in a wide range of quality control, forecast development, and visualization projects. We empower our customers to transition from outdated Excel spreadsheets to integrative, software-assisted operational control and automation.
Our AI offerings are designed to cater to the unique needs of businesses across various industries, providing tailored, scalable, and effective solutions that drive growth and efficiency. By partnering with us, you can unlock the full potential of AI.
Veracell offers a comprehensive suite of data engineering and data science services, leveraging the capabilities of Microsoft Azure, AWS, and other cutting-edge technologies to help you make informed decisions and unlock new opportunities.
From housing price prediction to spam classification and time series forecasting, decision tree ensembles have proven to yield robust baselines and even state-of-the-art performance in many domains.
Life cycle AI models, derived from survival models, have the potential to revolutionize predictive analysis across various industries. By leveraging the power of AI, organizations can better understand the factors affecting the life cycle of their assets and make data-driven decisions.
With a vast amount of unstructured data scattered throughout the world, the communication gap between humans and machines poses a significant challenge. NLP fosters seamless cooperation between humans and machines, and with the advent of GPT-4 and generative AI, the possibilities are virtually endless.
In the midst of Europe's escalating energy crisis, businesses, municipalities, and individuals are striving to uncover innovative strategies for conserving energy. Data analytics emerges as a trailblazing solution to optimize energy usage, presenting an opportunity to take the reins on sustainable development.
Water treatment plants amass a treasure trove of data from maintenance monitoring devices and automation processes. Learn how cutting-edge analytics and machine learning models can transform processes, avert malfunctions, and herald a groundbreaking era in water treatment plant management.