Deeploy makes ML deployments accountable by giving explainable AI (XAI) a central place in ML operations (MLOps)

AI/ML

Information Technology

Software

Deeploy

Maarten Stolk

Sofia Karali

Markus Heid

Bastiaan van de Rakt

Matilde Alves

Tim Kleinloog

Nick Jetten

The Engineering team at Deeploy designs, develops, and implements robust frameworks for explainable AI within MLOps, ensuring machine learning deployments are transparent and accountable. They collaborate on software development, backend infrastructure, and AI research to optimize and support explainability features.

Engineering

The Leadership Team at Deeploy is responsible for setting the strategic direction of the company, ensuring alignment between business goals and product development in the realm of machine learning operations. This team drives innovation in explainable AI (XAI) to enhance accountability in ML deployments and fosters a collaborative culture among co-founders across various domains, including commercial strategy, technology, and marketing. Through their vision, they aim to position Deeploy as a leader in transparent and responsible AI practices.

Leadership Team

Deeploy

Org chart

Teams

Engineering

Leadership Team

Offices

Deeploy

Org chart

Teams

Engineering

Leadership Team

Offices

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