The Vetrov Brothers

Art of Science & Science of Art

Our work

The origin

Our father taught us to find the heartbeat in every circuit and seek the soul inside the machine.
Family photograph: a father and two children gathered around an open computer.
Family archive

Our father has spent 30 years fixing computers, and continues to do so today. To him, every broken device was a puzzle with a heartbeat — a family member waiting to be healed.

He grew up on Soviet science fiction, the Strugatsky brothers and Asimov. We grew up on Blade Runner, The Fifth Element, Johnny Mnemonic and Star Wars. We expected flying cars, holographic interfaces and robots that felt like friends.

The dream & the noise

Some of that future did arrive: VR headsets, AI assistants and spatial computing. Alongside it came mass surveillance, carelessly built software exposing data, and an avalanche of disposable AI content. Too often, speed replaced the question of why we wanted this future in the first place.

Companies fear AI will make their work look cheap. People want machines to do their work, yet worry about being replaced. We see the paradox — and keep looking for a more thoughtful way forward.

Our mission

We refuse to let the future be ugly. One of us engineers the hardware that gives machines life; the other designs the software that connects machines, people and meaning.

Together, we build AI and XR experiences for people who believe technology should elevate, not merely accelerate. We bring the speed of the machine and keep the soul of the maker.

Two perspectives.
One shared practice.

Ivan Vetrov

Ivan works at the intersection of design, generative AI and spatial computing. He creates identities, digital products and immersive experiences, with a focus on purposeful, functional and owner-centric design. He builds WebXR and AI products and teaches UX/UI 3.0 and AI/XR/Web3.

Biography & CV

Inno Vetrov

Innokentiy connects audiovisual production with automation and AI systems. His work spans computer vision, image and video generation, and reliable inference workflows under real production constraints. He focuses on efficient inference, multimodal retrieval and the infrastructure behind creative production.

Biography & CV

Our work

A shared practice across design, philosophy, technology and media. Companies, publications and independent projects, connected through the work.