Application: Boost Battery Management Systems

AI Technology: Machine Learning, Neural Networks, and Reinforcement Learning

Improved Efficiency: Automated analysis of battery performance enhances efficiency and accuracy without extensive human intervention.

Cost Reduction: Automation reduces the need for manual monitoring, lowering overall costs and eliminating expensive proprietary systems.

Personalization: Predictive analytics tailored to unique battery data, usage environments, and operational habits ensures precise and personalized management.

Impact:

• Enhanced battery performance and longevity.

• Increased safety through real-time monitoring and anomaly detection.

• Cost-efficient solutions adaptable to various battery types and applications.

• Designed for electric vehicles, renewable energy storage.

• Suitable for other energy management systems like autonomous robots.

Application: Future Farming - rice yield prediction 

AI Technology: Machine Learning, Neural Networks

Improved Efficiency: Real-time monitoring and automation of data analysis from a field.

Cost Reduction: Automation reduces the need for manual monitoring. Predictive maintenance give estimation of harvest.

Personalization: Predictive analytics tailored to soil, weather and rice variety ensures precise and personalized management.

Impact:

• Enhanced yield.

• Enhanced quality of yield.

• Increase sustainability.

Application: Optimizing Battery Management Systems

AI Technology: Machine Learning, Neural Networks, and Reinforcement Learning

Improved Efficiency: Automated analysis of battery performance enhances efficiency and accuracy without extensive human intervention.

Cost Reduction: Automation reduces the need for manual monitoring, lowering overall costs and eliminating expensive proprietary systems.

Personalization: Predictive analytics tailored to unique battery data, usage environments, and operational habits ensures precise and personalized management.

Impact:

• Enhanced battery performance and longevity.

• Increased safety through real-time monitoring and anomaly detection.

• Cost-efficient solutions adaptable to various battery types and applications.

Application: Health and Care Systems Transformation

AI Technology: Machine Learning and Data Analytics

Enhanced Efficiency: Automated patient data analysis – significantly improves efficiency compared to manual data processing, eliminating the need for extensive human intervention.

24/7 Availability: Results from machine learning models are available around the clock – data can be continuously refined with new datasets to enhance accuracy.

Cost Reduction: Automation of routine data analysis and diagnostics reduces the workload on healthcare professionals, leading to substantial cost savings and reducing the need for expensive proprietary healthcare systems.

Impact: Predictive analytics tailored to the unique data from your healthcare infrastructure, environment, and patient care practices, ensuring highly accurate and personalized healthcare solutions

Application: Industrial Production Lines; Quality Inspection of Components 

AI Technology: Computer Vision - Game changer for industrial quality control

Improved efficiency: Automated detection of damaged components – much better efficiency that in “eye” inspection – not needed qualified employee.

24/7 available: Result of analysis from neural networks model are available for customers 24h per week – data can be improved by a new dataset 

Cost reduction: Automation of manual testers work, high level of efficiency give you very low number of damages detected by end-user; customized solutions for your needs without highly expensive machine vision commercial systems

Personalization: The prediction analysis is made on data from your production infrastructure, environment and habits of your quality teams that gives you very high score of damage components detection

Personalization: The prediction analysis is made on data from your experience, environment and habits of your team that gives you very high score of prediction

Application: Food Industry

AI Technology: Machine Learning, LLM

Improved efficiency: Automated ordering system connected with your webpage; independence 

24/7 available: result of analysis from neural networks model are available for you 24h per week – data can be improved by a new dataset 

Cost reduction: No commissions by food portals

Personalization: Automated ordering system is made on data delivered by you and gives you fully possibility to change number of dishes, number of maximum orders, dates and delivery hours\

Application: Food Industry

AI Technology: Machine Learning, LLM

Improved efficiency: Prediction of number of customer in week gives you opportunity to proper adaptation of food product orders – decreasing of food waste and money waste  

24/7 available: Result of analysis from neural networks model are available for you 24h per week – data can be improved by a new dataset 

Cost reduction: Adaptation of number of employees in a week based on prediction of number of customers – analysis of calendar, weather, adverts in Social Media

Application: Big Data analysis

AI Technology: Machine Learning, LLM

Automatization: Gathering specific data on a subject in a automated way tailored to the needs of the client

24/7 available: Result of analysis from neural networks model are available for you 24h per week – data can be improved by a new dataset

Scalability: Possible adaptation to multiple subjects as separate threads and scaling up the volume of data obtained and analyzed according to client needs

Flexible analysis: Quick benchmarking to choose most optimal model to analyze and make accurate predictions on the gathered data