Roland Boubela

Any Device, Any Lab, Always Ready. Nuvolos is the operating system for data science. It is a cloud workspace that allows you to easily handle data and computation of any size and type. It lets you collaborate on projects and organize your work effectively. Nuvolos provides storage, computing power and control, whenever you need it.

Your agent-enabled platform for automated analysis, evals, and alignment for genAI products. Build for the needs of AI Product Managers, so they can validate, test and improve with 80% less of resources needed from their data scientists, AI engineers and analysts. End-to-end lifecycle in a no-code way, so your teams build valuable AI products that simply work.

Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev

Any Device, Any Lab, Always Ready. Nuvolos is the operating system for data science. It is a cloud workspace that allows you to easily handle data and computation of any size and type. It lets you collaborate on projects and organize your work effectively. Nuvolos provides storage, computing power and control, whenever you need it.

Your agent-enabled platform for automated analysis, evals, and alignment for genAI products. Build for the needs of AI Product Managers, so they can validate, test and improve with 80% less of resources needed from their data scientists, AI engineers and analysts. End-to-end lifecycle in a no-code way, so your teams build valuable AI products that simply work.

Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev

MOSTLY AI is the leader in the tabular synthetic data category, enabling safe and insightful data utilization for all. Its advanced GenAI algorithms facilitate the creation of high-fidelity synthetic datasets, empowering Fortune 100 companies and beyond to work securely with data and gain valuable insights. With offices in Vienna, Austria, and New York, USA, MOSTLY AI supports global organizations to create secure, scalable, and innovative data environments while upholding privacy compliance. To learn more about the use of synthetic data visit mostly.ai.