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AI FOR THE PHYSICAL WORLD

AI has mastered the digital world. The physical one is next.

We build AI-powered robots that see, decide, and do real work in the real world.

Put simply: robots, powered by modern AI, for the world's hardest physical work.

A wheeled inspection robot with an articulated sensor mast and rugged all-terrain wheels, photographed in an industrial facility.

Vision

AI can already write, design and predict. But the world that feeds, moves and powers us — factories, ships, plants, pipelines — still runs on human hands and hours. We bring modern AI off the screen and onto the ground — as robots that inspect, operate and maintain the physical world, where and when people can't.

What our robots do

Inspect

Enter tanks, hulls, silos and pipes and check them from the inside — no human entry, no shutdown.

Monitor

Read the atmosphere and equipment around the clock: gas, temperature, corrosion, wear.

Clean & maintain

Remove sludge and scale and handle routine upkeep in place.

Handle & operate

Move materials and run repetitive physical tasks through hazardous or hard-to-reach routes.

WHY IT MATTERS

Safer — Goes where humans can't
Cheaper — Less downtime, fewer hours, lower risk
Always on — 24/7, any conditions
Automated — Does, not just thinks

Where we start

First stop: maritime, energy and process industry across the Helsinki region — where the physical world is hardest, and the payoff is biggest.

Who we are

Portrait of Tommi Lundell

Tommi Lundell

Co-Founder · Hardware

Our hardware lead. Nearly 30 years at Nokia — from HW/FPGA engineer to leading software and ML infrastructure teams, now managing GPU and Kubernetes platforms for machine learning at scale. Background in leadership, innovation, and hands-on hardware and mechanical design.

Portrait of Ikram Ul Haq

Ikram Ul Haq

Co-Founder · AI

Our AI lead. ML Engineer at Smartly, previously AI Tech Lead at Nokia leading a team building a production-grade GenAI platform — RAG pipelines, agentic workflows, and distributed LLM training on private Kubernetes clusters. Erasmus Mundus dual Master's, specialised in computer vision.

The physical world is the next frontier for AI.

We're choosing a few partners to build it with.

Based in Helsinki — building with the region's heavy industry.