About VectorWave

Rebuilding intelligence at the signal

VectorWave started on a simple conviction: intelligence should operate at the signal itself.

In real-world environments where conditions change in milliseconds, decisions can't wait on centralized processing. They must happen at the edge, where signals first emerge.

Close-up of a chip board with VectorWave mark.

The team

VectorWave brings together expertise in analog computing, RF systems, and large-scale telecommunications infrastructure.

The team's experience spans advanced research, complex RF systems and real-world deployment environments where performance is mission-critical.

Ben Taylor portrait.

CEO

Ben Taylor

Ben led GTM strategy for Cisco’s Service Provider and Services businesses and is a graduate of the Wharton School of Business at the University of Pennsylvania.

Dr. Ronald Davis III portrait.

FOUNDER AND CTO

Dr. Ronald Davis III

Ronald is an MIT^3 researcher and entrepreneur who pioneered the first analog hardware accelerator to compute AI signal processing on radio-frequency signals.

Dr. Charles Dietlein portrait

CO-FOUNDER

Dr. Charles Dietlein

Charles is a principal RF engineer specializing in electromagnetic systems and large-scale RF program execution.

Tom Hennessey portrait.

BOARD MEMBER AND MANAGING PARTNER, COALITION VENTURES

Tom Hennessey

Tom is the Managing Partner at Coalition Ventures, focused on pre-seed and seed investments in deep tech and dual-use startups.

Why VectorWave?

Waveform analysis monitors and RF instrumentation.

01

More devices. More congestion. Higher stakes.

Billions of connected systems now operate across shared RF environments, from base stations and mobile devices to access points and IoT sensors. As density increases and spectrum remains finite, communication becomes both more congested and more critical.

Close-up of an automated system handling a circuit board.

02

The answer is architectural change.

Solving congestion and coordination challenges requires more than improved allocation models. By performing inference directly on physical waveforms, VectorWave enables real-time decision-making at the edge.

We build intelligence that begins at the signal.

Want to learn how inference at the edge changes what's possible? Reach out.

Get in touch