Jidokai · 自動化系
Coming soon · pilots Q3 2026

Your plant,
on a live view.

Industrial AI that watches your manufacturing data in real time. Spots anomalies before they become downtime, traces any batch in seconds, and recommends what to do next. Deployed and supported by a senior practitioner from the Lean Competence network.

Request a demo See capabilities

USD 20M+

VALUE GENERATED, FORTUNE 500

Weeks

TIME TO MEASURABLE RESULTS

Causal

REASONING, NOT CORRELATION
jidokai.leancompetence.ch / solothurn-line-3
OEE
78.4%

+3.2 vs target

DOWNTIME
14 min

-44 vs avg

SCRAP
1.2%

+0.4 vs target

LIVE ANOMALY FEED Streaming
11:42:18 HIGH

Temperature drift on extruder 2, 4 σ

Suggested action: Re-tare scale + check feed

11:36:02 MED

Cycle time +18% on press 7

Suggested action: Inspect die clamping

10:58:11 LOW

Batch B-2061 ready for review

Suggested action: Trace ready, 8 s

The combination

A senior practitioner who knows the gemba.
Now with eyes on every cycle.

WHAT THE NETWORK BRINGS

A senior practitioner who has run your kind of plant

Engagement scoped to an outcome target

Single signature, MSA, NDA, insurance bundled

Knowledge transfer and an internal champion certified

WHAT LIVE OPERATIONS ADDS
+

Connects and contextualises production data across systems

+

Causal AI reasoning, not surface-level correlations

+

Agentic workflows that link insight to action in real time

+

Measurable value within a few weeks of go-live

What Jidokai does

Six capabilities,
one live feed.

Industrial-grade infrastructure, paired with a Lean Competence practitioner who knows your sector and runs the rollout end to end.

01

Live data ingestion

Streams from PLCs, MES, SCADA, plant historians, edge sensors and quality systems. Normalised into a single, queryable production picture.

02

Anomaly detection on your normal

Models train on your healthy production, not on a generic textbook. When reality drifts more than a few sigma, an alert lands within seconds, not at the end of the shift.

03

End-to-end batch traceability

Trace any batch back through every parameter, tool, operator and material lot. The four-hour Excel hunt becomes an eight-second click.

04

Actionable recommendations

Not another alert wall. Each anomaly comes with a ranked recommendation, drawn from how your team and similar plants have fixed it before.

05

Downtime and scrap analytics

See where minutes and grams are leaving the plant, by line, shift, product and root cause. The week-end report writes itself.

06

Built to integrate, not replace

Sits next to your MES and ERP, never on top of them. APIs and connectors for the systems you already run.

What changes

The same plant.
A different operating speed.

TIME-TO-DETECT ANOMALY
BEFORE

2 to 4 hours, shift handover

WITH JIDOKAI

90 seconds, live alert

BATCH TRACE, CUSTOMER CLAIM
BEFORE

4 hours, three Excel sheets

WITH JIDOKAI

8 seconds, one click

RECOMMENDATION LATENCY
BEFORE

End-of-shift huddle

WITH JIDOKAI

Real-time, ranked by impact

WEEKLY DOWNTIME REPORT
BEFORE

Friday afternoon, manual

WITH JIDOKAI

Auto-generated, signed off Monday

SCRAP ROOT-CAUSE
BEFORE

Best-guess after the fact

WITH JIDOKAI

Traceable to parameter and lot

How a rollout looks

One quarter.
Live by week five.

01

Scoping workshop

Week 1

Senior practitioner walks the gemba with your team, identifies one lighthouse line, maps data sources. Outcome target signed.

02

Connect and listen

Weeks 2 to 4

Data connectors stood up, baseline period starts. Models learn your normal. No alerts go live until accuracy is calibrated.

03

Go live on the lighthouse

Week 5

Alerts on, dashboards on the floor, daily standup uses the live feed. Practitioner stays close during the first cycles.

04

Roll out, hand over

Weeks 6 to 12

Additional lines added on the playbook from the lighthouse. Internal champion certified. Practitioner steps back into advisory cadence.

Trust

Your plant data,
your perimeter.

Operations leaders told us trust was the first thing to get right. So we did.

Your data, your premises

On-prem deployment for regulated environments. Private cloud where it fits. Recipe and parameter data never leaves your perimeter.

Industrial-grade security

ISO 27001 aligned. Role-based access, audit log, encryption at rest and in transit, signed code in the pipeline.

Regulated-ready

GMP, ISO 13485, ISO 9001 deployments supported. Validation packs, change-control hooks, and audit-trail exports built in.

You own the models

Trained on your normal, owned by you. No cross-customer learning. Take the trained models with you if you ever switch.

Request a demo

See it on
your data.

Tell us your plant context and we will book a 45-minute walkthrough with a senior practitioner and our industrial-AI engineers. No deck, just the dashboard, on a relevant reference plant.

FOUR FIELDS · TWO MINUTES

We will reach out within two working days. No sales sequence, one human.

FAQ

Jidokai, in detail.

It integrates into the reality of your factory landscape. We can implement a Unified Namespace (UNS) for you or run Jidokai on top of your existing UNS and data stack. Integration is delivered side-by-side with your teams by a forward-deployed team of manufacturing, IT/OT and AI experts. We handle connectivity, data modelling and change management so the platform works with your processes from day one, not as a disconnected IT project. Cloud-agnostic on AWS, GCP or Azure, with secure batch and real-time ingestion.