AlgoBalance  

Services

Algorithm development

• Development and Implementation of (customized) algorithms
• Implementation as a module based reusable library or a lightweight webservice
• Integration in existing software projects
• Mathematical analysis of algorithms

Consulting: We offer consultance, advice and help for

• Application of causal inference and causality methods in your business
• Application of AI, ML methods in your business
• Application of customized algorithms in your business
• Integration of (customized) algorithm solutions into existing software projects

Artificial Intelligence and Machine Learning

We are using the following methods and algorithms in our solutions

• State of the art machine learning algorithm
• Neuronal networks and Deep Learning
• Causal inference, Causal models
• Reinforcement learning
• Bayesian networks
• Probabilistic graphical models

Software development

• Design, development, and realization of software projects
• Desktop- and web applications
• Objectoriented software architecture
• Agile development process
• Cross-Platform desktop development

App development

• Design and development of Web-Apps
• Design and development of native iOS and Android-Apps
• Integration with web applications
• Use of modern development technologies

Nutrimizer - Scientific nutrition and symptom diary

Nutrimizer is a nutrition and symptom diary, equipped with data analysis algorithms that can detect possible food allergies and intolerances. Nutrimizer combines all of AlgoBalance's service areas and is available as a web application as well as an app for iOS and Android. AlgoBalance successfully designed and developed the required (AI) algorithms, the web application and the app applications. Visit the Nutrimizer webpage https://www.nutrimizer-app.com to learn more (the current version is only available in german).

Contact

AlgoBalance UG (haftungsbeschränkt)
Spielberg 2
92727 Waldthurn
Germany

Phone: +49(0)160 96207243
E-Mail: kontakt(at)algobalance.com

Dr. Peter Gmeiner studied mathematics at the FAU Erlangen-Nuremberg and received his PhD from the Chair of Mathematical Physics. His mathematical know-how is complemented by several years of experience in software development in a wide variety of projects. He develops, designs and implements software solutions as well as algorithms. He is specialized in causal inference, machine learning methods, deep learning methods as well as other current methods from the AI environment.