Modular electrochemical process for lactose conversion to lactobionic acid
A scalable electrochemical process converting lactose to lactobionic acid, suitable for food, pharma, and cosmetics. Utilizes cost-effective electrodes and mild conditions, compatible with unrefined lactose streams, offe...
High-r graphene-aerogel composite for retrofit insulation
A cutting-edge insulation panel combining silica aerogels and graphene-doped polymer composites, offering high thermal performance and Class A fire standards compliance. Suitable for retrofitting walls, roofs, and panels...
Foamguard inline slurry loop for low-foam spirulina dispersion
FoamGuard is a retrofit process module designed to efficiently disperse powdered spirulina in water by minimizing foam formation. It employs advanced powder induction, mixing, and degassing techniques to enhance dispersi...
Melt-phase decolorization and low-dose toning for gray cast removal in rpet/rhdpe
Re-Du Company offers an innovative solution for improving the clarity of recycled PET and HDPE by using melt-phase decontamination and low-dose color correction. This approach removes chromophores and corrects color drif...
Flex-id retrofit: hyperspectral AI sorting of multilayer flexibles
Flex-ID Retrofit enhances material recovery facilities by integrating a hyperspectral AI sorting module to accurately identify and separate multilayer polyolefin flexibles. This solution improves recycling efficiency by ...
Low-temperature catalytic delamination of metallized polyolefin films
A low-temperature, organocatalyst-enabled delamination process for recycling metallized polyolefin multilayer films. It selectively depolymerizes polar adhesive and functional layers while preserving polyolefin integrity...
Packtwin™: ai-powered digital twins for packaging optimization
PackTwin™ integrates AI with physics-based digital twins to optimize packaging design by simulating structural, barrier, usability, and manufacturability aspects. It reduces the need for physical prototypes and accelerat...
Formulateai™: automated recipe design and digital twin validation platform
FormulateAI™ by Re-Du Company is an AI-driven platform that automates recipe design through user-defined constraints and validates them with digital twin technology, optimizing product development efficiency and accuracy...
Hybrid digital twin and AI soft sensors for optimized manufacturing
This innovative solution integrates a physics-based digital twin with AI soft sensors to enhance manufacturing processes. It provides real-time guidance, optimizes energy and water usage, and ensures consistent product q...
Evacuaid: APR compliant PET with micro textured surface for efficient sauce evacuation
EvacuAid is a PET bottle featuring a micro textured inner surface engineered to facilitate the efficient evacuation of viscous sauces like ketchup and mayo, achieving over 95% evacuation without altering the product form...
Ai-digital twin for optimizing food shelf-life
Re-Du Company's AI-Digital Twin solution integrates physics models with Bayesian-optimized AI to predict, optimize, and validate food shelf-life. It simulates various conditions, optimizes formulation, and reduces experi...
ROOF-FORM™ modular co₂-to-formic acid micro-reactor panels
Revolutionize flat roofs into CO₂-to-formic acid production units with ROOF-FORM™ panels. These lightweight, self-ballasted panels convert CO₂ into formic acid, providing a sustainable solution for green chemical and fue...
Selective catalytic hydrogenolysis of recycled HDPE into high-value waxes
Re-Du Company presents a catalytic hydrogenolysis process to transform post-consumer HDPE into high-value waxes using a low-pressure, two-stage method. This innovative approach yields over 70% wax and minimizes by-produc...
Modular mechanical system for high-precision cocoa fraction separation
High-throughput modular system for precise cocoa nibs, shells, and fines separation using mechanical and fluidized air techniques, offering compact, energy-efficient integration into existing lines.
Ai-driven digital twin for ice cream process optimization
A modular digital twin framework integrating physics-based simulations and machine learning for optimizing ice cream formulation and sensory quality in real-time, reducing R&D time and trials.
Encapsulation and stability modeling for probiotic viability in gummy supplements
An innovative hybrid computational-experimental framework to enhance probiotic viability in gummy supplements through thermophysical modeling and formulation screening. Targets improved stability and minimal sensory impa...
Ai-guided non-destructive weld integrity detection for TPO membranes
A cutting-edge solution utilizing AI and thermal-acoustic sensing to detect weld defects in TPO membranes. This technology provides real-time, non-destructive inspection, producing intuitive heatmaps to identify seam def...
Techno-economic analysis and scalability of oleogel-based fat replacements
A comprehensive analysis and modeling framework for integrating oleogel-based fat replacements in food systems, focusing on scalability, cost-effectiveness, and sensory performance. Utilizes widely available oleogelators...
Modular spindle system for rapid neck changeover in stretch blow molding
Innovative modular spindle system designed for quick adaptation to varying PET preform neck sizes, enhancing efficiency in blow molding operations by reducing downtime associated with spindle changeouts.
Techno-economic framework for cellulose-based barrier packaging solutions
A techno-economic framework designed to evaluate and optimize cellulose-based barrier packaging solutions by simulating their performance, recyclability, and manufacturing compatibility.
Process-accurate coil coating replication system for lab validation
A modular lab-scale coil coating system replicating industrial conditions, enabling realistic coating performance prediction. Features controllable roller speed, pressure, substrate feed rate, and programmable curing mod...
Advanced predictive maintenance for paper mills using bayesian optimization
This solution utilizes Bayesian-Optimized Neural Networks and other advanced techniques to reduce downtime and waste in paper mills by optimizing predictive maintenance. It integrates seamlessly with existing systems and...
Ultrasonic cavitation and supercritical CO2 for pigment removal from TPU
An innovative solution leveraging ultrasonic cavitation and supercritical CO2 for efficient pigment removal from thermoplastic polyurethane (TPU), preserving material properties while offering a scalable, environmentally...
Automated geospatial plot grid creation for UAV image processing
An automated system integrating machine learning for geospatial plot grid creation, enhancing UAV image processing accuracy and efficiency in agricultural field trials. Reduces manual GPS use, improving data quality and ...
Automated image-based seed sorting system for agriculture
A portable, low-cost seed sorting system using advanced image classification algorithms, achieving over 90% accuracy and sorting speeds of >1000 seeds/minute, adaptable to various seed types and conditions.
Ai-powered optimization framework for automated PET container design
An advanced AI-driven framework that integrates PCA, Bayesian optimization, and interval-based detection for optimizing PET container designs, enhancing fault detection and process robustness in stretch blow molding.
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