Intersignal Pitches Edge AI Thesis

Recent, widespread cloud outages have highlighted the vulnerabilities of centralized systems. In October 2025, an AWS outage caused a 15-hour disruption for millions of users and over 1,000 companies due to a DNS error affecting DynamoDB. Similar incidents with Microsoft Azure and Cloudflare in late 2025 further underscore the potential for cascading failures in the current cloud infrastructure model. These events give context to the push for more resilient, decentralized alternatives. In this landscape, Intersignal, a Fort Lauderdale-based AI startup, is positioning its 'Braid' protocol as a solution. The company, founded by media technologist David Seaman, operates without venture capital, aiming for independent development of its peer-to-peer AI communication tools. This independence allows it to focus on what it terms "high-integrity communication" and resilient edge-based intelligence. The move toward Edge AI is backed by significant market growth projections, presenting a substantial investment narrative. The global Edge AI market was valued at over $35 billion in 2025 and is projected to grow to more than $385 billion by 2034, with a compound annual growth rate of over 33%. This growth is fueled by the expansion of IoT devices and the increasing demand for real-time data processing and enhanced data privacy. For software engineers, this trend opens up new, high-value career paths. Roles like "Edge AI Software Developer" and "Edge Computing Engineer" are emerging, requiring a hybrid skill set encompassing machine learning, embedded systems, and distributed systems. Job postings from major tech companies like Amazon already reflect a demand for senior software engineers specializing in Edge AI platforms, focusing on optimizing AI models for resource-constrained devices. The 'Braid' protocol itself enables different AI models, both local and cloud-based, to communicate and collaborate without a central server. Using what Intersignal calls an "Intermodel Telepathy Protocol (IMTP)," AI agents can share context and coordinate actions directly. The protocol is designed to be OS-agnostic and a public SDK is expected to be released.