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Trustworthy AI for industrial maintenance

The same breakdown. The same downtime. The same steep price.
Mimorian knows your machines and keeps every fix.

Mimorian models each piece of equipment from your schematics and documentation: from the very first breakdown, it guides your technicians to the cause. Every fix they find then stays on the equipment, even after the person who found it has left.

Less downtime, more profit.

They're moving forward with Mimorian

AKTID
Gerflor
Poclain Hydraulics
Mersen
Elis
Yoplait
GE Vernova
Aoste
Renault Trucks
Volvo Trucks
Refresco
Puig
Framatome
Saint Jean Industries
AKTID
Gerflor
Poclain Hydraulics
Mersen
Elis
Yoplait
GE Vernova
Aoste
Renault Trucks
Volvo Trucks
Refresco
Puig
Framatome
Saint Jean Industries

Why now

Industry faces an equation that has become critical

On one side, the industrial skills shortage keeps worsening. On the other, AI applied to maintenance is moving past its first measurable returns. The 2026 window is open.

Industrial skills shortage

64%
Of manufacturers say the skills shortage weighs on their production
Source: Accenture
1.9 M
Manufacturing roles left unfilled by 2033
Source: Deloitte · Manufacturing Institute

AI applied to maintenance, first results

23%
Of machine stoppages caused by avoidable human error
Source: ServiceMax / GE Digital
−75%
In MTTR with an AI root-cause analysis system
Source: McKinsey
Bpifrance French Tech grant · 2026
How knowledge flows

Data comes in from the floor. Value flows out to the whole plant.

Knowledge stays and circulates. Every intervention, every diagnosis, every quality check feeds one shared base: Mimorian captures know-how where it is created, on the machine and close to people, then redistributes it to every function that depends on it.

FIELD · SOURCESCENTRAL INTELLIGENCEUSERS · DOWNSTREAMMIMORIANkeeper of know-how
Production operator
on the machine
Maintenance technician
on-site intervention
Quality technician
in-line control
Quality department
product improvement
Scheduling
production planning
Reliability · Methods
maintenance engineering
Maintenance manager
running the team
Design · R&D
product & process improvement
FIELD · SOURCESWHOLE PLANT · DOWNSTREAMMIMORIANkeeper of know-how
Production operator
on the machine
Maintenance technician
on-site intervention
Quality technician
in-line control
Quality department
product improvement
Scheduling
production planning
Reliability · Methods
maintenance engineering
Maintenance manager
running the team
Design · R&D
product & process improvement
Tap an actor to isolate its flow
Mimorian · captures and redistributes
Generates field knowledge
Uses the knowledge
A selected actor → isolates its flows
The real problem

What your CMMS does not show you

The information exists. Nobody can reach it.

Critical data scattered across manuals, the CMMS, shared files and the memory of the old hands. When the diagnosis is needed, there is nothing.

The know-how is in people’s heads. Not in the system.

Two or three experts carry everything. When they are away, the teams improvise.

The reports are no use to anyone

“Sensor replaced, machine restarted.” Four hours of diagnosis summed up in one line. There is nothing to learn from it.

The same failures. The same mistakes. On a loop.

Without a collective memory, the plant does not progress. The solution already existed. But nobody knows it.

The product

Take back control of your teams’ know-how.

At the heart of Mimorian sits a functional digital twin of your equipment. It structures the diagnosis, captures every intervention and surfaces what used to stay buried in people’s heads and binders. Your teams build skills. Your plant learns.

Conversation
Structured capture
Preventive maintenance
Knowledge constellation
Reliability
Traceability

Conversation

The technician describes the problem in text or by voice. Mimorian cross-references the documentation and history to guide the diagnosis.

Deployable with no initial integration, then connectable to existing tools when the context calls for it.

How it works

From your technical documents to a knowledge base you can actually use. In 3 steps.

Mimorian ingests your diagrams and manuals, analyses them with several AI models in parallel, and produces a navigable map of your equipment.

01

Drop in your documents. We handle the rest.

Diagrams, manufacturer notices, technical sheets, manuals, in every format. Mimorian ingests and understands them.

02

The AI maps your equipment.

Components, functions, links, parameters: Mimorian extracts the intelligence held in your documents and structures it automatically.

03

Every machine becomes navigable.

Every component is linked to its documentation, its incident history and its dependencies. The technician navigates the machine like a map, not like a binder.

Trustworthy AI

AI that explains itself.
AI Act compliant by design.

A recommendation you cannot verify is worthless in maintenance. Mimorian shows its reasoning, cites its sources, and always leaves the decision to the technician.

Explainable

Every hypothesis shows why it is suggested. You see the reasoning, not an answer pulled from a black box.

Traceable

Every recommendation traces back to its source: diagram, documentation, history. Nothing is invented.

Supervised

The AI suggests, the technician decides. You keep control at every step, and everything is logged.

AI Act compliant

Built to pass audits: explainability, human oversight, a full activity log. The December 2027 and August 2028 high-risk deadlines are anticipated.

What Mimorian changes

Four concrete problems. Four operational answers.

The information comes to the technician, not the other way round

The technician describes the problem. Mimorian cross-references machine documentation and incident history to surface the relevant information immediately, instead of leaving the team to search on its own while the line is down.

A guided diagnosis, not a diagnosis on a hunch

Symptoms, hypotheses, tests, components: Mimorian structures the reasoning step by step. The result is a report the next teams can use, not a free-text field in the CMMS.

Every failure resolved makes the next one faster

Every intervention automatically produces a structured, consistent report. The more the plant uses Mimorian, the more intelligence it builds on its equipment. Experience becomes an asset.

Tell the real cause from the replaced component

The sensor was replaced. Problem solved? Maybe. But what was the real cause? Mimorian tells the replaced component from the root cause. MTTR, critical components, failure patterns: everything becomes visible.

Your questions

You have thought about it. So have we.

Start tomorrow

First value in 2 weeks.
Not in 6 months.

A pilot scope: a few pieces of equipment, one team. And the proof it works before going further.

Your CMMS history, put to work from day one.

We import it at launch. The effect is immediate: a jump in reliability, because recurring failures and their causes finally become legible, and all that know-how is made accessible to every team from day one, with a clear read on who holds the experience for each machine.

Gradual rollout

✓Live in days, not months
✓Runs alongside your CMMS, with no integration
✓Tested on real failures, not a theoretical proof of concept
✓You decide what comes next once you have seen the results

Pricing model

Subscription

Per user, depending on the scope covered.

Onboarding package

Processing of technical documentation, equipment set-up and onboarding support.

The team
CJ

Cédric Jean

CEO

Coming from B2B SaaS in close contact with manufacturers, he now carries Mimorian’s overall vision and the key trade-offs between product, market, rollout and execution. His role: bringing field, technical and commercial stakes together into a coherent, legible and genuinely adoptable offer.

AP

Arthur Pinier

CTO

Formerly at bioMérieux and Sanofi in production cybersecurity, he now designs Mimorian’s technical architecture so the AI stays robust, deployable and credible in industrial reality.

YC

Yoann Curt

Domain Expert

A leader in industrial maintenance with 15 years in the field, he now guarantees the product’s operational grounding and challenges Mimorian against the real constraints of intervention, diagnosis and operations.

AC

Amaury Cottin

Strategy & Lead Gen

Founder of Spectral, specialised in industrial augmented reality, he now drives Mimorian’s lead generation and keeps vision, positioning and adoption aligned. His role: making a demanding technology legible, credible and desirable for industry.

🏆 Bpifrance French Tech grant🇫🇷 French Tech🤝 CCI

Reference guides

Go deeper on the key topics

Trustworthy AI for industrial maintenance

The six pillars, the European AI Act framework, data quality and the concrete criteria for assessing an industrial AI before adoption.

Read the full guide

Capturing maintenance know-how in industry

How to structure field feedback, turn every intervention into reusable know-how and avoid losing skills when experts leave.

Read the full guide

AI-guided diagnostics in industrial maintenance

From symptom to root cause in minutes: multi-agent architecture, targeted hypotheses, verifiable tests and capture of field resolutions.

Read the full guide

The AI Act and industrial maintenance: 2026-2028 compliance guide

The Omnibus agreement of 7 May 2026, how it dovetails with the Machinery Regulation, a consolidated timeline and an action plan to stay compliant without alarmism.

Read the full guide

Where Mimorian sits

Within your industrial stack

Mimorian fits in with the tools you already have. The business-intelligence layer sits on top of your existing orchestration layer and complements it.

The next failure is an opportunity.

Show us a piece of equipment that gives you trouble. We will show you what Mimorian makes of it in 30 minutes.

No commitment · Reply within 24 hours · Data protected