Having spent years working with PubNub's platform, I've had a front-row seat to what it takes to build and operate mission-critical, real-time systems at global scale. What excites me about Blocks.ai is that it applies those same principles to what we (at PubNub) believe is the next major enterprise infrastructure challenge: operating AI agents.
The industry has made incredible progress building agents. What's been missing is the operational layer that lets organizations securely connect, govern, discover, route, observe, and manage agents across different models, frameworks, clouds, business units, and environments without locking themselves into a single AI ecosystem.
That vendor-neutral approach is what stands out. Rather than replacing existing AI investments, Blocks.ai provides a common control plane that helps enterprises bring them together with the governance, visibility, and operational controls they'll ultimately need as AI moves from experimentation into production.
I also appreciate that the team isn't building from scratch. It's built on infrastructure that's been trusted in production for more than 15 years, which gives me confidence that the focus is on solving real operational problems, not just shipping another AI demo.
I think Blocks.ai is tackling an infrastructure layer that's going to become increasingly important over the next few years, and I'm excited to see where the platform goes.
