Optocycle GmbH
About
Optocycle GmbH, founded in 2022 and based in Tübingen, Germany, develops AI-powered optical sensor systems that make mineral construction waste measurable, transparent, and recyclable—addressing the fact that construction and demolition debris accounts for 38% of EU total waste. The company's technology stack has three layers: INA, an edge-sensing device with up to four cameras, NIR capability, spotlights, and onboard computing; GAIA, a self-learning machine-learning model that classifies material composition and flags contaminants in real time; and MIP (Material Intelligence Platform), a centralized web dashboard and API for archiving and analyzing all material data. Optocycle offers four hardware products positioned at key process points: Truck Imager scans incoming loads at the weighbridge, Belt Imager provides continuous quality control on conveyor belts, Heap Imager analyzes material during unloading and tipping to detect hidden contaminants, and Train Imager captures rail-wagon condition and cargo composition. The Self Scan web app lets drivers log QR codes, perform material checks, and generate digital delivery notes. The system recognizes 19 EWC waste codes, distinguishes nine attributes (grain size, purity, volume, edge length, etc.), and claims 80% fewer misclassifications and 20% greater efficiency versus manual inspection. Now market-ready with 30+ installations and 20 employees, Optocycle sells via a Product-as-a-Service subscription model.
Key Products
Optical sensor unit combining up to four cameras, NIR functionality, spotlights, and integrated computing power for on-site material analysis.
Self-learning ML model that transforms raw sensor data into actionable material classifications and contaminant detection results in real time.
Data management platform serving as a single source of truth for all material data, featuring API integration and a web dashboard.
Automated scanning system that identifies and classifies material composition of truck loads at scales or entrance areas in real time.
Continuous quality control system for conveyor belts that identifies material composition during processing to enable active optimization.
Analysis system that scans material during unloading and tipping, detecting hidden contaminants and providing volume and composition analysis.
Rail-mounted scanning system that captures both wagon condition and loaded material composition as trains pass through a measurement point.
Smartphone application for drivers that turns the phone into a terminal for QR scanning, material checks, and digital delivery note creation.
Commercial model offering hardware, software updates, and data platform access via monthly fee plus one-time installation and customization.
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