Cut unplanned downtime
by 30 to 50%.
One hour of unplanned downtime costs €15,000 to €50,000 depending on your line. AI predictive maintenance catches sensor drifts before they become failures — and gives your maintenance teams room to breathe.
Typical orders of magnitude from comparable projects. Your numbers are quantified at the diagnostic.
Five daily frictions that quietly eat your margin.
This is what we hear on the first walk-through with French industrial SMEs.
Unplanned downtime
Every hour of unscheduled stoppage costs €15,000 to €50,000 depending on your sector — and hits your customer OTD directly.
Tribal knowledge walking out the door
Senior technicians retire, their machine intuition is undocumented. New hires take 18 to 24 months to become fully autonomous.
Quality control still manual
Defects caught too late propagate up the line. Customer recalls erode net margin month after month.
Sensor data left unused
You already pay for IoT sensors, MES and PLCs — the data sits in silos, never correlated to anticipate failures.
No defensible budget
Impossible to defend an AI budget at the board without a quantified pilot. You loop between SaaS vendors and stalled POCs.
Four AI levers deployable on your existing lines.
We plug into your stack (SAP, Siemens, Azure IoT, Sage 100 Manufacturing) without rebuilding your IS.
Predictive maintenance on critical equipment
Anomaly detection models trained on your historical sensor data (vibration, temperature, current). Alerts pushed to your CMMS 48 to 200 hours before failure, with the most likely failure mode flagged.
Typical orders of magnitude from comparable projects. Your numbers are quantified at the diagnostic.
AI-powered visual quality control
Cameras + CNN models trained on your recurring defects. Inline per-part detection with unit-level traceability.
Production scheduling optimization
Dynamic re-sequencing based on disruptions, urgent work orders and energy constraints.
Technical document assistant
Semantic search across SOPs, drawings, intervention reports. Captures senior technicians' know-how.
The metrics a plant director actually cares about.
No vanity metrics. Everything we ship is measured against these five lines.
- 01OEEOverall Equipment Effectiveness per line and per shift.
- 02Unplanned downtimeMonthly count and cumulative duration, broken down by root cause.
- 03Total maintenance costTMC as a percentage of revenue.
- 04Non-conformity rateScrap, rework and customer recall rates.
- 05MTBFMean time between failures per critical asset.
From first walk-through to full industrialization.
A four-phase approach, calibrated for industrial SMEs of 50 to 500 employees.
Field diagnostic
Plant visit, sensor & MES data audit, ROI scoring on 2–3 highest-impact assets. Deliverable: quantified 6-month roadmap.
AI Acceleration — pilot
Predictive model trained on one critical asset, integrated into your CMMS. Measure real gain over a production cycle.
Industrial rollout
Extension to the full line, training of maintenance teams, real-time OEE monitoring in place.
Run & continuous improvement
Model retraining, new lines onboarded, quarterly ROI review with your leadership team.
Concrete deliverables, not slides.
- Quantified mapping of the 5 highest-ROI assets
- Predictive model deployed in production on the pilot asset
- Real-time OEE dashboard integrated with your MES / CMMS
- Operating procedures for technicians (degraded mode, alerts)
- Full technical documentation + skill transfer to your data team
- 12-month industrialization roadmap with milestones and budget
We plug into what you already run.
On the IT side, we integrate with what your IT department has already approved.
EU AI Act, Machinery Directive, GDPR: built in from the pilot phase.
AI-based quality control systems can be classified as high-risk under the EU AI Act when they affect product safety. We systematically document the AI system (data, model, performance, bias) in the required format. The revised Machinery Directive 2006/42/EC (2023 update) and ISO 9001 / IATF 16949 (automotive) requirements are factored in from scoping. If operator data is collected, GDPR processing is fully framed (legal basis, retention, anonymization).
Our compliance & security approachAlready running in production for our clients.
Purchase orders, material certificates, quality paperwork: manufacturing handles document volumes comparable to the files we automated at Guenifey — reading, extraction, direct integration into the business tool.
An AI agency built by the engineers who ship the code.
Not a consulting firm. Not a digital agency. A team of AI engineers who scope, code and ship to production — for French SMEs and mid-market companies.
Meet the team and the methodEngineer-founded
From EPITA, ranked #1 computer-science engineering school in France.
AI student consultancy
Founded in 2024. Dozens of engagements shipped to production before launching OLIXID.
Scope · build · deliver
Same people from diagnostic to production. No disconnected pre-sales, no project tunnel.
Plugs into what you run
No ERP replacement, no big bang. AI sits next to your tools — your teams keep their interfaces.
