Ceramics & Sanitaryware

Porcelio

Autonomous operations layer for ceramics, tile and sanitaryware production — stable firing, on-tone and on-caliber pieces, fewer defects, less energy.

Seed Physical AI $1M raised 2026 porcelio.com
Overview

What Porcelio does.

Porcelio runs ceramics, tile and sanitaryware production: kiln firing control, defect vision, robotic glazing and decoration, energy optimisation and tone and caliber robotic sorting.

Every kiln deployment produces labelled firing and defect traces that train the next model, tightening the loop from body to finished piece.

At a glance
DetailValue
StageSeed
CategoryPhysical AI
Year2026
Websiteporcelio.com
HeadquartersNot disclosed
Raised$1M
Investor10xC
ModelPer-kiln software subscription with an energy and first-quality yield component.
Measured byFirst-quality yield, energy per piece, sort accuracy, kilns expanded per customer.
An inspection station on a ceramic production line
The kiln Firing held stable, piece to piece
Products

One loop, module by module.

Every deployment on porcelio.com writes labelled traces back into the model, so the system generalises across plants, alloys, grades and geometries.

01

Kilnex

Kiln firing control that holds temperature curves on profile.

02

Vitreo

Defect vision across glaze, body and fired piece.

03

Glazio

Robotic glazing and decoration.

04

Thermiq

Firing and energy optimisation.

05

Sortiq

Tone and caliber robotic sorting.

Why we invested

The thesis behind Porcelio.

Tile and sanitaryware is a high-volume, high-energy business where a kiln drift ruins a whole shift and sorting still runs on human eyes. Tone and caliber are judged on the line, at speed, against a batch standard.

Porcelio encodes the standard. The buyer is a ceramics manufacturer paying in hard currency; the wedge is one kiln or one sorting step, and first-quality yield is the number that opens the next module.

Who is building it

Co-Founder & CEO

Co-Founder & CEO

Owns the plant relationships, the pilot programme and the commercial model.

Co-Founder & CTO

Co-Founder & CTO

Owns the firing and vision models, the edge runtime and the write-back into kiln control.

A production chart on a monitor
The yield First-quality, at speed

Building something similar?

Building in Physical AI? We want to hear about it.

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