Hey everyone 👋

We're Julius, Cornelius and Roger — the founders of sizeless.

TL;DR

sizeless turns a smartphone video of an open trench into the documentation utilities and contractors are legally required to produce: a 3D model, CAD/BIM plans, and the quantities they bill from. Today that takes months and a surveyor. We do it in hours, from a video the crew films themselves.

Problem ❌

Everything under a street — gas, water, power, heat, fiber — must be documented when it is built or repaired. That documentation is still done by hand: schedule a surveyor, drive out, measure with a tape or a GPS rover, write it on paper, go back to the office and draw it. Then the next contractor does the same thing again, for their own pipe, in the same trench.

Our average customer waits 6 months for documentation and spends around $4M a year per German city on it.

And once the trench is backfilled, nobody can check whether the numbers were right. One person's reading, one moment, unrepeatable. That is why crews keep hitting lines that "aren't there".

Solution ✅

The crew films the open trench with a phone for about 10 minutes. Then:

Our SLAM engine builds a metric 3D model from that video — no surveyor, no scanner, and it works without GPS in basements and house connections

Our vision engine recognises the components — pipe types, diameters, fittings, couplings — and attributes them

Our agent produces what the customer actually files: CAD/BIM, GIS, quantities, and invoice-ready numbers

The crew also talks while filming, and that goes into the record:

"There was a gas pipe crossing, so we had to lay this pipe approximately
50 cm below it."

No point cloud and no plan ever captures the reason for a deviation — and once the trench is closed, it is gone for good. That sentence, anchored to the exact position in 3D, is the part nobody else has.

Where we are: seven paid pilots in three months, the first converted to an annual contract, working with utilities and contractors on district heating in Germany.

Why now: phones do metric 3D capture, reconstruction got cheap, and vision-language models read attributes rather than just detecting boxes. And the long game: construction robots are coming, and nobody holds the training data for what is underground. That is the layer we are building.

Ask 💬

Intros to utilities, municipal works, or civil and pipeline contractors - Europe or the US

Anyone who has sold into municipalities or utilities: how did you shorten those cycles?

Founders in construction tech, geospatial or robotics — would love to compare notes

If you know someone running a family construction business, that is often our fastest door in

You can reach us at julius@sizeless.co (commercial) or cornelius@sizeless.co (technical).

Team

Julius (CEO) — ex-Chief of Staff to the CEO at Aon.

Cornelius (CTO) — PhD in robotics and computer vision at ETH Zürich's Autonomous Systems Lab. Built perception systems for railways, and a wearable navigation system for blind users.

Roger (Science lead) — professor of physics & AI. Spent a decade recovering 3D structure from sparse, noisy measurements; in his case, mapping the universe.

Fun fact: the hardest part of our capture pipeline is not the maths, it is that trenches are wet, muddy, and full of moving excavators — which breaks every off-the-shelf 3D reconstruction method we tried.