We specialize in building commercial production grade machine learning systems. We work on internal projects and do consulting. Examples of what we can help you with: - Do you even need machine learning to begin with? - When do you need a researcher and when do you need an engineer? - Building cost effective machine learning products that suit your needs - MLOps (https://en.wikipedia.org/wiki/MLOps) - Cloud architecture, data science, data engineering, AI (artificial intelligence), software engineering - Which platforms to choose? Build your own? (Cost and performance and complexity trade-off considerations) - Cloud/on-premise/hybrid? - Feasibility assessment - Scoping, time assessment, project expectation estimations - Data collection strategy - Labeling/ground truth strategy - Recruiting (DS/ML/DE/AI) - Upskilling - Privacy aspects - Anonymization We can provide consultancy for junior, senior, expert, and lead roles. We have experience with multiple cloud platforms, but AWS in particular.