Our state-of-the art technology stack enables us to efficiently build and operate production grade ML systems.
Data is the fuel of AI. High quality data is important for the success of an AI project. We developed processes and tools for data-centric AI and creating valuable insights. Our project teams face various data challenges when training models. Having the right tools at hand significantly improves the outcome.
That’s why we created Parrot to leverage domain experts for solving NLP tasks. Moreover, every day we are pushing the state-of-the art of ML which requires complex data infrastructure. Staying flexible at scale is a task for Squirrel!
Fueled by data, ML models are the mathematical engines of AI. To build them you need to understand the problem and come up with an appropriate algorithm to model your task.
We combine this artisan art with automatization of frequent steps. Each project needs a Scaffold that holds it together. Our Chameleon framework helps us to bring state-of-the art computer vision models into production in no time!
The ML lifecycle does not end but begins with the model deployment step: This is when the system starts generating value! At Momentum, we deploy your ML models at scale and operate them in a fully managed fashion, providing continuous third level support. We can monitor the models’ behavior in production in order to ensure that they reliably solve your use case.