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Toleron

About Toleron

Engineering the layer between the machine and the decision.

Toleron is an industrial technology company from Tuttlingen, Germany. We build the platform that connects CNC machines — straight from the controller or with added sensors — records their data in full detail and turns it into clear statements about the process. Developed and validated on real machines, and honest about what it can and cannot yet do.

Mission

Turn machine data into manufacturing intelligence.

A factory floor is not short of data. It is short of reach — the old grinder reports nothing; of detail — the moment that mattered happened between two measurements; of trust — nobody can say whether that 0 % is an idle machine or a missing figure; and of proximity — the evaluations that matter need detailed data that should not leave the building.

Toleron answers each of those: one connection for machines with and without a controller, complete recordings with a permanent archive, firm rules against invented figures, and evaluations that run right next to the machine.

Connect machines. Understand processes. Detect change. Act with confidence.

How we work

Six principles, each with a cost we pay on purpose.

They are not values on a wall. Each one has shaped a specific piece of the product, usually after something on a real machine went wrong.

01

Capability honesty

A number that is not measured is shown as n/c — never as 0, never as 100. A lost connection shows nothing rather than an old value. A shortened recording says why. This rule is built into the software, on every screen.

02

Validate on real machines

Nothing is called ready until real acceptance criteria pass on a real machine. Simulated data is never used to claim that something works.

03

Compute where the data is

Detailed measurement data stays on the shop floor. Evaluations and models run at the machine; only results travel. The raw data never has to leave the site.

04

Open standards, no lock-in

We read straight from the controller you already have, using open standards. Machines with no controller get sensors instead. No machine or controller is replaced.

05

Deploy like an industrial supplier

Every update is versioned and traceable. Backup, a way back to the previous version and a written report for every release — including a section on known limitations that a buyer can check.

06

The platform advises, humans act

Writing to the machine is designed as a safeguarded function and deliberately switched off. Every recommendation names its source; every model first runs on trial alongside production before anyone relies on it.

Research background

Built in a machining laboratory, not a slide deck.

Toleron is developed at the KSF laboratory in Tuttlingen — a machining research environment with a machine park spanning grinding, turning and milling.

Four of those machines are connected today: a tool grinder with Siemens Sinumerik 840D sl, with controller data and additional sensors on the grinding process; a Swiss-type lathe with Sinumerik 828D; a Haas TL-1 lathe; and a surface grinder with no controller at all, which reports through a sensor at the machine. The laboratory’s grinding expertise is integrated directly into the product through the GrindingExpert service behind Grind Master.

That environment is where every proof point on this website comes from — the long-run tests, the complete recordings, the alarm archive, the evaluations at the machine and the first model for production use: a grinding-wheel condition model, being commissioned on the tool grinder now.

The team covers software at the machine, industrial data systems, machine learning on process data and manufacturing technology. We work in English and German, and we are based in the IFC building in Tuttlingen.

Where

IFC – Innovations- und Forschungs-Centrum
Katharinenstraße 2
78532 Tuttlingen, Germany

Contact

info@toleron.de

Work with us

Careers · Partners

Next step

Bring intelligence to your machines.

Connect existing CNC equipment without replacing the machine or the controller. We start with one machine, real data and an honest acceptance run.