Seismora builds a control plane to route AI workloads across devices and clouds

Seismora wants to sit in the middle of AI traffic. The company is building networking software that decides where different parts of an AI workload should run, whether that’s on a device, at the edge, or in a cloud provider’s setup.

Founder and CEO Vito Palermo described it as a control plane for distributed AI, one that lets developers use resources across multiple environments without baking routing logic into every app. His pitch is simple: the system should know enough to send some work to an iPhone, some to the edge, and some to a cloud environment when that makes more sense.

That matters because AI applications are getting more fragmented, not less. Palermo said Seismora’s “cognitive routing” makes placement decisions based on capability, cost, latency and policy constraints. He also pointed to the need for heterogeneous setups, where enterprises may already be juggling multiple neoclouds and multiple models.

The company’s target customers are developers building agentic applications, not consumers. Palermo said he sees a future where open-weight models, contextual data from Neo4j, and compute spread across the edge and the enterprise all need to work together. The point, in his view, is to move intelligence to whatever place makes the most sense.

Palermo made the case during an interview with John Furrier for theCUBE + NYSE Wired: AI Luminaries on theCUBE. He also cited Stripe’s planned acquisition of OpenRouter, announced in August for a reported price of around $7.5 billion, as a sign that routing infrastructure is getting hotter.