Seismora Develops Control Plane to Route AI Workloads Across Devices and Clouds
The startup is building an intelligent networking layer to assign AI tasks across mobile hardware, edge servers and cloud providers based on cost, latency and policy.

Seismora Inc. is developing networking technology designed to manage and direct artificial intelligence workloads across disparate computing environments, including hyperscalers, edge infrastructure, neoclouds and local devices. The startup aims to provide a distributed control plane that automates task placement, allowing software engineers to avoid building custom routing logic into each application.
The effort addresses technical friction as computing shifts from human-to-system interactions toward machine-to-machine communications. Speaking during an interview with theCUBE, SiliconANGLE Media's livestreaming studio, and reported by SiliconANGLE (https://siliconangle.com/2026/10/09/control-plane-agentic-ai-seismora-thecube-neo4jdatatoknowledge/), Seismora founder and Chief Executive Officer Vito Palermo explained that the company is building an infrastructure layer capable of moving AI network traffic across heterogeneous environments.
Seismora calls its approach "cognitive routing." The system evaluates application intent and dynamically selects where specific tasks should run based on capability, latency, execution cost and policy constraints.
Palermo illustrated the concept with an example of an application dividing its computing requirements across tiers: running lighter tasks locally on an iPhone, executing intermediate steps on edge servers, and directing heavy tasks—such as building digital twins with Nvidia Corp.'s Omniverse—to a neocloud, with the control plane orchestrating placement and optimizing costs automatically.
To illustrate commercial interest in machine-to-machine routing infrastructure, Palermo cited Stripe Inc.'s agreement in August to acquire AI model routing platform OpenRouter Inc. for a reported valuation of approximately $7.5 billion.
Seismora is designed to operate across multi-provider setups, linking open-weight models from vendors like Fireworks.ai Inc. with contextual data tools such as Neo4j while distributing compute and storage across the enterprise. The startup is targeting developers building agentic AI applications rather than end consumers.
Sources
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