
Production-Ready Machine Learning
~
Understanding your business Case
Our experience launching ML solutions at scale taught us that we should begin with your end goal - what is the business case that the ML solution should serve and are the needed data assets available and reliable to support a stable solution
Training and Configuring the right Ensamble
Most solutions are not based on a single Machine Learning model and a simple processing pipeline. We begin with feature engineering, model selection and configuration and iterate to craft the right ensamble to optimize the business outcome.
Deploying and Monitoring
at Scale
Deploying a Machine Learning solution is an art work. We choose the right computing environment and scaling strategy to ensure a cost-effective yet robust deployment as well as the right Monitoring tools to avoid accuracy reductions & drifts
Quamm goes back since 2004
~
16
Years of Experience
4
Companies Founded
+120
Clients Served
6
Intl. Partners

About Us
~
We are absolutely positively passionate about tech challenges that involve data and Machine Learning at scale. Over the years, our CEO & Founder launched tech projects in the AdTech & FinTech spaces and took them from an idea to millions of active users, processing billions of daily transactions managing tech teams from all fields of expertise.
We have been witnessing the digital r/evolution from the very beginning and know the importance of data management, computing efficiency, and elegant solutions in each of the projects we worked on.
Machine Learning and AI is the new frontier and we are partnering with the best platforms and implement best practices to bring this amazing power to our select customers