Episode Details

In "How Nordian's Platform Enables Long-Haul Autonomy", Joe Lynch speaks with Co-founder and CEO of Nordian, Michael Schramm, about how Nordian enables long-haul autonomy by combining precise positioning, satellite connectivity, and edge intelligence into a single platform.

Michael Schramm is Co-founder and CEO of Nordian, the positioning and connectivity platform for Physical AI, delivering centimeter-level GNSS corrections, satellite connectivity, and fleet lifecycle management to some of the largest industrial OEMs in the Americas. A serial entrepreneur with 15+ years of executive leadership, he is a founding partner of Ambush, an applied AI engineering firm; co-founder of Echo54, an advanced sensing R&D company serving US and allied government agencies; and founder of GOAT, an acquired consumer micro-mobility company. Across nearly two decades of building companies that operate in the physical world, he kept running into the same failure point: machines break when positioning and connectivity aren't engineered as one system. Nordian exists to fix that.

Nordian is the positioning and connectivity platform for Physical AI. One platform delivers centimeter-level GNSS corrections, integrated satellite connectivity, and fleet lifecycle management to industrial OEMs across transportation, agriculture, and mining. Headquartered in Austin, Texas, and deliberately launched in the hardest environments on Earth, Nordian built South America's largest PPP-RTK network, and its platform serves 80% of the region's 20 largest agricultural OEMs. Proven where networks fail and machines can't, Nordian is now expanding globally to power autonomous operations at scale.

• In "How Nordian's Platform Enables Long-Haul Autonomy", Joe Lynch speaks with Co-founder and CEO of Nordian, Michael Schramm, about how Nordian enables long-haul autonomy by combining precise positioning, satellite connectivity, and edge intelligence into a single platform.
• Physical AI is a Connectivity and Processing Challenge, Not an AI Model Problem: Current AI systems are fully capable of handling autonomous navigation, but real-world physical AI is constrained by connectivity and real-time processing capabilities. Offloading critical decisions to back-end cloud servers introduces latency, which is dangerous for heavy machinery like a 25-ton autonomous truck moving at highway speeds.
• Edge Computing and Local Inference Eliminate Deadly Latency: To operate safely without reliance on uninterrupted internet access, 100% of mission-critical decisions must occur directly on the device using edge computing. Nordian provides the local processing capacity needed for real-time inference, allowing autonomous vehicles, drones, and heavy equipment to operate safely in "air-gapped" environments or during brief network dropouts.
• Centimeter-Level Positioning Replaces Imprecise Traditional GPS: Standard GPS provides meter-level accuracy, which is acceptable for route navigation but unacceptable for vehicle co