Every product below has a name, a method, and a client already running it. These are not concepts — they are tools that run in real plants, deliver measured results, and improve with use.
Five products that form a detection, diagnosis, and alerting platform — from classic SPC to continuous monitoring with human review.
Real-time control charts with Nelson pattern detection. Calculates Cp/Cpk per variable and guides setup through an interactive wizard — no statistician required in the room.
Detects deviations that conventional statistics miss. Points to potential causes so the team investigates in the right place — not across the entire plant at once.
Alerts the right people when deviations occur. No courtesy notifications — only actionable information, at the right moment, to whoever can act on it.
Mekatronik's team analyzes model outputs, validates results, and delivers refined information directly to the client's maintenance team. Artificial intelligence with real human oversight.
Auto-discovery of operational regimes via adaptive clustering. Per-regime k-sigma calibration, six rule-based detectors plus Isolation Forest, XAI via SHAP, and integrated conversational chat. Patent pending at INPI.
Digital Twin, APS, autonomous control, and bottleneck analysis — each product uses discrete simulation to reduce decision risk on the shop floor.
Production sequencing optimization engine using DES plus Siemens Plant Simulation for validation and Mendix as the interface. Gains capacity without new equipment.
AI agent that controls machine speeds in real time using MTBF, MTTR, and SPEED as state variables. Sensor placement optimized by a multi-objective genetic algorithm.
Integrates GPS, PLC, SAP, gatehouse, and scale data into discrete simulation calibrated against reality. A live bidirectional digital twin — what happens in the plant, happens in the model.
Uses MTBF, MTTR, and SPEED in real time combined with Tecnomatix and the proprietary MK BOTTLENECK ANALYZER LIB to identify where the line loses capacity — in any operational regime.
Generative AI agents trained on process data, standards, and technical documentation. Not generic chatbots — digital specialists with a defined industrial scope.
Generative AI agent that combines process data, standards, and technical documentation to issue quality opinions. Complaint analysis that used to take days now takes hours.
Monitors temperature along the furnace, identifies potential refractory damage, and estimates wall thickness via thermography. Proactive protection of a critical, high-replacement-cost asset.
Products that connect the shop floor to decisions — from edge collection to the dashboard that shows the impact of every improvement in real time.
Shows the before, during, and after of a continuous improvement initiative in real time. The team sees the result happening — not waiting for the monthly report.
OT/IT integration — PLCs, GPS, SAP, gateways — with edge data contextualization. The infrastructure on which Digital Twins and real-time dashboards are built. Partnership with Siemens Industrial Edge.
UNS implementation for information contextualization and delivery at scale. Lines, robots, PCs, welding, and PLCs with OPC UA flowing to Industrial Edge and BigQuery in a single coherent namespace.
Captures data, thermal images, and barcodes directly on the plant floor. Replaces paper and spreadsheets without depending on continuous connectivity — data syncs when the connection comes back.
These products run internally every day. Knowledge management, conversation capture, ERP, and project control — all developed and operated by Mekatronik itself before proposing them to any client.
Engineers send a WhatsApp message — text, audio, video, or image. GenAI converts it into a structured article and publishes it automatically to Academy, SharePoint, or Drive. Knowledge that used to live in one person's head becomes a company asset.
Turns WhatsApp and Microsoft Teams conversations into structured corporate knowledge. What was discussed in a meeting or group chat is no longer lost — it becomes searchable documentation.
Quoting, pricing, sales pipeline, and margin control in a system built for the reality of custom engineering projects. No off-the-shelf platform fit — so we built our own.
Internal engineering project management platform, designed for the real lifecycle of an industrial project — from proposal to closure, with traceability of delivered value.
No product goes into operation without a prior diagnostic. We start by understanding your real constraint — only then do we recommend the right product, with a defined scope and an expected result.
