Pulp & Paper

Pulpum

Autonomous operations layer for pulp and paper manufacturing — stock prep, wet-end chemistry, forming, pressing, drying, coating and reeling, with web-defect vision and break prediction.

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

What Pulpum does.

Pulpum closes the loop on the paper machine: refining and freeness control, wet-end chemistry, forming, pressing, drying, coating and reeling, with web-defect vision, break prediction and an as-run machine simulation.

Every reel produces labelled process and defect traces that train the next model, tightening the loop from stock to finished reel.

At a glance
DetailValue
StageSeed
CategoryPhysical AI
Year2026
Websitepulpum.com
HeadquartersLondon, United Kingdom
Raised$1M
Investor10xC
ModelPer-machine software subscription with an uptime and yield outcome component.
Measured byMachine uptime, break rate, defect escape rate, reels expanded per customer.
Engineers reviewing paper-machine data on monitors
The machine Stock to reel in one closed loop
Products

One loop, module by module.

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

01

Refining & Freeness

Refining and freeness control.

02

Chemistry & Retention

Wet-end chemistry and retention control.

03

Forming & Pressing

Headbox, slice and press control.

04

Drying & Coating

Steam, hood, coating and calender control.

05

Web Vision & Breaks

Web-defect vision and break prediction.

06

CD Profile Control

CD basis-weight, moisture and caliper control.

07

Broke & Grade

Broke, energy and grade sequencing.

08

Reel & Winder

Reel, winder and roll logistics.

09

Genealogy & Release

Per-reel genealogy and release.

10

As-Run Simulation

As-run machine simulation.

Why we invested

The thesis behind Pulpum.

A paper machine runs a mile a minute and a web break costs hours; defects are found after the reel is wound, and wet-end chemistry is tuned by the few people who know the grade. Paper volume is consolidating into fewer, larger machines.

Pulpum moves web vision and break prediction onto the line. The buyer is a paper mill paying in hard currency; the wedge is one wet-end or inspection step, and machine uptime and defect escape are the numbers that open the next module.

Who is building it

Sameer Khan

Co-Founder & CEO

Sameer owns the mill relationships, the pilot programme and the commercial model.

Asiya Bibi

Co-Founder & CTO

Asiya owns the web-vision and process models, the edge runtime and the write-back into machine control.

Process metrics on a control dashboard
The reel Wound once, released to spec

Building something similar?

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

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