ML System Design
We offer a full cycle of
Machine Learning Design
Discovery
Dedicated research and analysis of the unique needs of your business.
Design
Design and recommend a model that is appropriate for your business problem.
Development
Creating an environment for the model to operate in production context with the focus on DataOps.
Deployment
Brining your models to life and making them accessible and operational for your end-users.
Stages of the ML Design process
Discovery
In the Discovery phase, we serve as your dedicated research-to-production partner, committed to understanding the unique needs of your business. Our collaborative approach involves working closely with your team to delve into the intricacies of your operations, challenges, and objectives. By gaining a deep understanding of your business landscape, we aim to uncover opportunities where machine learning and artificial intelligence can make a transformative impact.
Design
In the Design phase, our primary focus is to unearth a model that not only addresses your business problem but elevates your entire operational landscape. Our data scientist will collaborate closely with your data, delving deep into its nuances to extract valuable insights. Through meticulous analysis, we aim to unravel the untapped potential within your data, seeking patterns and relationships that lay the groundwork for a useful machine learning model.
Development
Your blueprint transforms into reality in this phase. Here, our dedicated team focuses on constructing a robust research infrastructure specifically designed for building and testing prototypes. The cornerstone of our approach is DataOps, ensuring that your valuable time is invested in experimenting with data rather than grappling with the complexities of data sources.
Deployment
In this crucial stage, we bring your models to life, making them accessible and operational for your end-users. Our team meticulously builds the serving infrastructure, designed to handle the demands of real-world usage. This ensures that the transition from development to deployment is smooth, efficient, and optimized for performance.
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