ArchMinds

AI is moving into the physical world. We’re building what comes next.

THESIS 01

Physical Intelligence Goes Personal

WHAT WE OBSERVE

Physical Intelligence is advancing rapidly across foundation models, robotics, 3D, simulation and media.Most of that progress is still being built around machines, specialist workflows and professional applications.

WHAT WE BELIEVE

The next frontier is personal.As these capabilities become cheaper and more accessible, Physical Intelligence will move into everyday life — helping individuals understand, navigate and act on the physical world around them.

BUILD — PERSONAL SPATIAL INTELLIGENCE

We’re building AI for the physical reality of everyday life.That means building beneath the surface too: a spatial foundation that makes a person’s real spaces usable by AI.

PSI — Personal Spatial Intelligence
Research prototype + future direction The everyday moments it could change — and the spatial work underneath.

THESIS 02

Imagination Has Become Cheap

WHAT WE OBSERVE

AI has dramatically lowered the cost of imagining, exploring and generating new possibilities.But the path from an idea to physical reality remains largely traditional, fragmented and high-friction.

WHAT WE BELIEVE

A new consumer need is emerging.People need a better way to turn what they can now imagine with AI into something grounded enough to become real.

BUILD — MAKE IT REAL

We’re building a personal architect agent for people who want to change a space.Our current prototype grounds a chosen design in the space as it is — turning a picture into the start of a project.

MIR — Make It Real
Current prototype + future direction How it could carry a home project through the professional world.

THESIS 03

The Built World Is Still Far from AI-Native

WHAT WE OBSERVE

AI is rapidly changing how knowledge work is done.But the professions that shape the physical world still rely on fragmented workflows, specialist tools and large amounts of manual coordination.

WHAT WE BELIEVE

The next step is not simply giving professionals more AI tools.The practices that shape the physical world need to become AI-native — with intelligence embedded into judgement, knowledge, decisions and workflows from the start.

BUILD — AI-NATIVE PRACTICE

We’re building towards our own AI-native architecture practice, run by a group of talented architects.The test is the whole practice — how AI can automate work and carry intelligence through the loop as opportunities become commissions, commissions become real places, and every project makes the next one better.

The AI-Native Practice

Working model + future direction

  1. Opportunity
  2. Commission
  3. Understand
  4. Design
  5. Coordinate & Resolve
  6. Deliver
  7. Learn
  8. Better next project
  9. new Opportunity

AI automates work and carries intelligence through the practice loop.

WHAT WE’LL MEASURE
  • Revenue / FTE
  • Labour hours / project
  • Throughput
  • Cycle time
  • Rework
  • Margin
  • Repeat / referral
Portrait of Vito Chen

FOUNDER

Vito Chen

Architect · Spatial Intelligence Researcher · Founder, ArchMinds

Vito Chen is an architect researching spatial intelligence and the relationship between AI, space and everyday life.

That interest began in civil engineering and architecture: disciplines that teach you to think in physical systems and constraints, and about the people who live with what gets built.

Both are about what happens when an idea meets reality. As AI moves into the physical world, ArchMinds is where Vito researches and builds around that question, starting from everyday life.

CONTACT

Open to conversations.