Advanced Navigation, which makes AI-assisted hardware to let ships and aircraft navigate even when GPS is jammed, raised a $110M Series C at a $1B+ valuation
Advanced Navigation builds artificial intelligence-assisted hardware that provides accurate location data
Context & Ripple Effects
Advanced Navigation’s financing has progressed from a $13M Series A for AI-enabled inertial navigation systems to a $68M Series B for its robotics and navigation technology. The new round marks a materially larger capital base for the same navigation-hardware direction.
The company sits within a broader precision-location market that also includes Swift Navigation’s funding for high-accuracy GNSS hardware—but Advanced Navigation is positioned around operation when satellite signals are disrupted.
First-order effects
- Advanced Navigation gains $110M to develop and scale AI-assisted navigation hardware for ships and aircraft, with a valuation above $1B strengthening its financing position.
- Customers needing reliable location data during GPS jamming have a better-capitalized specialist supplier to evaluate for navigation deployments.
Second-order effects
- Navigation-hardware rivals face greater pressure to demonstrate resilient positioning capabilities, not only accuracy under normal GNSS conditions.
- The funding raises the stakes for component, integration, and certification partners serving maritime and aviation navigation systems as Advanced Navigation expands its product development.
Third-order effects
- If funding continues to favor GPS-resilient navigation, positioning may increasingly be sold as a layered, hardware-software resilience system rather than as a satellite-signal-dependent component.
- The pattern supports further industrialization of AI-enabled navigation hardware, although adoption will depend on customers’ integration and validation requirements.
The trend: Resilient positioning is becoming a distinct investment category as AI-assisted hardware is designed to maintain navigation when satellite signals cannot be relied on.