Conventional architectures move RF data between memory and compute before inference. VectorWave performs inference before conversion, eliminating the round-trip penalty.
VectorWave computes directly on physical radio signals, turning raw waveforms into decisions before digitization.
When intelligence happens at the RF edge, data center processing and cloud round-trip latency stop being constraints—and power-hungry AI-hardware at the edge is no longer needed. Insight happens immediately, where the signal begins.
01
Spectrum was never meant to be locked into rigid blocks.
VectorWave enables real-time awareness and prioritization across frequencies by inferring directly on raw signals, allowing systems to share spectrum dynamically instead of competing for static allocations.
02
Receivers should be resilient, no matter how crowded or contested the environment.
VectorWave identifies what matters directly at the waveform, enabling jam-resistant, interference-tolerant receivers that maintain performance in conditions where digital-first systems fall apart.
VectorWave began as a research question: how should intelligence operate on physical signals? The result is a computational foundation built for real-time awareness at the waveform level.
Who we areVectorWave’s core is an analog AI processor purpose-built for RF inference at the waveform level. By performing inference in the physical domain, it enables nanosecond-scale decision-making directly at the RF edge, reducing data movement, latency, and power overhead before signals ever reach digital systems.
Latest updates from VectorWave, including research publications, technical milestones, and company announcements.
03.25.2026
VectorWave Corporation announces the public launch and commercialization of a fundamentally new approach to edge intelligence.