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An autonomous mobile robot carrying a box through a warehouse

Self-healing robotics, end to end.

The diagnostic layer for robots and PLCs. Cut downtime from hours to minutes: see which node broke, and ship the fix that worked before.

01 /How it works

From fault to fix, with you in control.

Four stages. A human signs off on every change, until a fix has proven itself enough times to run on its own.

01

Diagnose

A fault anywhere in the fleet lands in one SOVD view, with a freeze-frame of every value at that moment. A deterministic matcher ranks causes against every incident your fleet has seen, about 40% faster to root cause.

02

Patch

Your call. The operator picks from fixes proven on your fleet. One click to approve, and the signed OTA update ships.

03

Recover

Updates are signature-verified and health-gated. If the robot does not come back healthy, the diagnostic gateway rolls it back on its own.

04

Continue

The verdict is remembered. The next repeat fault is answered from memory in 3 ms, and once a fix has proven itself enough times, you let it run without asking.

The real product

One box, three vendors, one fault cascade

Three vendors fail one after another - Allen-Bradley, Beckhoff, Siemens - and one box on the DIN rail sees the whole cascade. The AI traces the root cause and a technician verdict teaches it. The repeat fault is answered from memory in 3 ms. Every screen is the real product.

Conference

ROSCon 2026

Toronto · September 22-24

Our talk

Production diagnostics for ROS 2

Fault lifecycle, freeze-frame ring buffer, SOVD REST surface

Talk details

Our values

Nothing you have to take on faith.

Full security model

Apache 2.0

An open core you can inspect and trust

ISO 17978-3

Built on the international SOVD standard

On the device

On-prem and air-gapped - no cloud required

Any stack

ROS 2 today, PLCs and ECUs through Pro bridges

02 /Approach

Observability says it broke.
Diagnostics gets it fixed.

Observability was built for cloud software, not mass production. You cannot stream terabytes a day from every robot, and a dashboard fixes nothing. Diagnostics captures structured faults at the moment of failure, on top of whatever you already run.

See the math on a real robot

1.5 TB

Continuous recording

per robot per day - the fault buried somewhere in those 24 hours

414 MB

Fault-scoped capture

per fault record - full context from the moment of failure

~360x

Less data per day

measured on a ROS 2 robot, ten faults a day

Now watch it happen

ROS 2 fault forensics with ros2_medkit

A real fault on a Yahboomcar M3 Pro: captured, traced and fixed on camera.

Watch the recording

03 /Products

One diagnostic layer for robots and PLCs

Different vendors, one plant, one fault tree - from the open-source Medkit core to guided triage and a plant-floor appliance.

04 /Where this is going

Nature's resilience, engineered into machines.

The goal: fleets that detect, diagnose, and repair themselves. Once a fix has proven itself enough times, you let it run without asking.

A cut closes. A bone knits. A fleet that has seen a fault once should not need a person to fix it twice. selfpatch turns every incident into memory, and every memory into a faster recovery.

The diagnostics box in a control cabinet, on the OT switch

Continuous recovery

Diagnose · Patch · Recover · Continue

Who we are

Built by diagnostics engineers

selfpatch is a product company founded by engineers from automotive diagnostics and software-defined vehicles. We build one diagnostic layer for robots and PLCs from different vendors in the same plant.

About the company

Industries

Wherever robots do the work.

The same fault tree, whatever the floor looks like.

All industries

Frequently asked questions

SOVD, ROS 2 diagnostics, OTA, and how selfpatch fits.

Diagnose · Patch · Recover · Continue

See selfpatch on your fleet

Tell us your stack - we'll show which of your recurring faults it could already resolve.