AI Training
All customers receive an individual training based on the global model and firm specifications.
Each single model is trained on the individual customer premise. No data needs to be uploaded onto our platform.
Together we can
Train AI better
XAIN builds the technology to scale your AI training. You can train your model based on several different data sources - without having to share that data with us. Your data can stay where it is and you can build privacy-preserving AI applications.
Introducing the eXpandable AI Network
Because MANY brains are better than one!
XAIN builds technology that yields the most efficient model training available. Based on the latest research on Federated Machine Learning (FedML), any model can learn from the knowledge of the entire network. This is how we make any machine learning application scale!
Discover also the following links and download material
Case Study
The first AI application powered by XAINs FedML technology.
ANDY is the first application running its training models on the eXpandable AI Network.
The solution for automated invoice processing consolidates machine learning knowledge from various data silos while keeping data privately in the respective corporate environments.
How it works?
Model Optimization
The training outcome is an initial learning based on the customer’s own data.
This knowledge is then being consolidated in a global training model where the model is optimized through a weighted average. No link can be drawn to the data used.
Distribution
The model optimum is then distributed to the customers' applications to update and improve each individual model based on the collective knowledge acquired.
Thus, companies are able to train well performing machine learning models - even with less training data available!
About us
Our mission is to make AI scalable while also protecting data privacy, granting companies the ability to harness the full potential of AI in a safe and secure manner.
Milestones
Incorporated in 2017 as a research spinoff from Oxford University
Won the first ever Porsche Innovation Contest in 2017
Infineon announced implementation of XAIN Embedded in October 2018
Our founders
Leif-Nissen Lundbæk
CEO & Co-Founder
Felix Hahmann
Chairman of Supervisory Board & Co-Founder
Prof. Michael Huth
CTO & Co-Founder
We are proud to have already successfully worked with:
Get in touch
Interested in more information about XAIN, insights about Federeted Machine Learning or you want to work with us?