Fuzzy Labs follow a structured framework to deliver the best open source MLOps solutions for our clients. Our friendly, collaborative approach means no surprises – we’re trusted to deliver, and we do, simple as that.
What challenges are you facing? How do you operate? By immersing ourselves in your business, we build a detailed picture of your AI capabilities. We talk your data scientists’ language, taking the time to understand any frustrations, agreeing clear commercial objectives.
From this, we’ll provide a detailed proposal, tailored for your business. This outlines our suggested solution, project timelines, and how we’ll make sure it works for your team. We’ll cover not only the immediate improvements, but also any longer term support your team might need too.
We work side by side with your data scientists every step of the way, iterating, testing and refining so the resulting handover is completely seamless. We live and breathe MLOps. We work quickly to optimise the technical solutions we develop, and share what we know to upskill your team. Our open source approach means we have nothing to hide – so what we know, you’ll know too!
As well as integrating all technical tools, we provide comprehensive training as well. Project handover is phased and reviewed until everyone is 100% confident that objectives are met.
Once your solution is deployed, we’ll support your team as long as they need us. As business needs change and evolve, our open source approach makes upgrading and optimising simpler than ever. We’re on hand for long-term maintenance. Ongoing development. Or simply ad-hoc troubleshooting, we’re here to support you.
We’re confident that our open source approach to MLOps gives our clients the greatest flexibility to get the most from their AI. You’re never locked in to any one provider or product – our tailored and flexible support gives you exactly what you need. No more. No less.