Research and innovation

/ What we do /

Areas of scientific specialization

AI & Machine Learning

Deep learning, computer vision, NLP, reinforcement learning, explainable AI, federated learning.

Neural architecture search
Advanced transfer learning
AI for edge computing
Advanced predictive algorithms

IoT & Industry 4.0

Cyber-physical systems, digital twins, predictive maintenance, smart manufacturing, industrial 5G.

Edge AI for manufacturing
Dynamic digital twins
Time-sensitive networking
Industrial metaverse

Green Tech & Sustainability

Energy optimization, carbon footprint tracking, circular economy, smart grids, renewable energy management.

AI for energy efficiency
Blockchain for carbon credits
Life cycle assessment
Smart building optimization

Bridge between research and industry

We transform scientific research into concrete innovation, translating academic and experimental results into technological solutions applicable to the real world.

We do not conduct research for its own sake: every project is geared towards technology transfer and the creation of tangible value for businesses.

We manage all phases internally, from design to technical and industrial validation, through to the creation of the product or service. Our approach stems from a solid academic background and direct experience of collaboration with universities and research institutes gained by the founder of RENOR.

/ Technological innovations /

Research projects

Technology: Mobile app with AI and Computer Vision to detect gluten content from ingredient labels.

Features:

Advanced OCR for labels
NLP for ingredient analysis
Database of 50k+ products
Real-time gluten alerts

Technology: NIR spectroscopic analysis with chemometric models for gluten detection in food.

Innovation:

Non-invasive NIR spectroscopy
ML chemometric models
Rapid analysis <2 min
Certification <20 ppm

Technology: Mobile app that helps identify food intolerances by correlating food intake and symptoms.

Features:

Smart food diary
ML pattern recognition
Food-symptom correlation
Personalized reports

Technology: Automated system for separate waste collection using computer vision, AI, and Raman spectroscopy.

Innovation:

Computer Vision for material recognition
RAMAN spectroscopy for chemical composition
Automatic multi-class classification
Accuracy >95% across 12 categories

Technology: IoT device for refrigerators that monitors food expiration dates and reduces food waste.

Features:

IoT sensors for continuous monitoring
Pre-expiration push notifications
Smart home integration (Alexa, Google)
Food waste analytics

Discover CeliachIA

/ Case Study /

Real projects, measurable results

Computer Vision e AI per la sicurezza dei celiaci

CeliachIA

CeliachIA is the first app that automatically analyzes ingredients without human intervention.
Unlike all other available solutions, which simply display labels or require manual review, CeliachIA uses a complex artificial intelligence engine that reads, interprets, and evaluates the presence of gluten in ingredients in real time.

All you need is a photo of the label: no waiting for manual reviews, no reports to send. Just a clear and immediate response thanks to computer vision and intelligent recognition. It is the only app designed for those who need instant and reliable answers every day.

Multilingual support – Recognizes ingredients in over 50 languages.
Optimized for labels – Interprets abbreviations and industry names
High accuracy – Alerts you to ambiguous ingredients
Continuous learning – Improves with every new analysis performed
Works offline – Fast analysis even without a connection
Extensible – Ready to recognize future allergens or additives thanks to the community
Instant response – Analysis of products not in the database in seconds
No human intervention – Fully automated, no waiting for manual reviews

/ FAQ /

Frequently asked questions

We believe in innovation as a driver of social progress. Scientific research allows us to explore emerging technologies, solve real problems (food safety, sustainability, health), and contribute to the scientific community. Many projects arise from personal challenges (e.g., CeliachIA to help those suffering from celiac disease) or social needs (Smart Waste to reduce pollution). It is our way of giving back to society.

Absolutely. We actively collaborate with the Politecnico di Milano, the University of Bologna, the University of Padua, and other centers of excellence. This synergy gives us access to advanced scientific expertise, well-equipped laboratories, and rigorous academic validation. We often co-publish scientific papers and participate in European (Horizon Europe) and national (PNRR) research projects.

It depends on the project. Some results are released as open source to maximize social impact (e.g., datasets, basic algorithms). Others, with commercial potential, are patented or protected to ensure economic sustainability and future developments. We always publish scientific results in peer-reviewed journals to share knowledge with the scientific community.

Our themes arise from concrete needs: health issues (food intolerances), environmental sustainability (smart waste collection), food safety (gluten detection), and food waste. We seek challenges where technology (AI, IoT, Computer Vision) can generate real and measurable impact. We also listen to proposals from partners, patients, associations, and citizens.

Not always, but it is a goal for some. CeliachIA and MyIntollerances have the potential to become consumer apps. SpectraScan Gluten could be adopted by testing laboratories. Smart Waste Classifier is designed for municipalities and waste management companies. However, basic research remains just that: it serves to validate concepts, publish results, and develop skills, not necessarily to generate immediate profit.

Yes! We are always looking for motivated collaborators: students working on theses (master’s, doctorate), researchers for scientific collaborations, beta testers to validate prototypes, associations to identify real needs. If you have skills (data science, IoT, chemistry, nutrition) or simply a passion for social innovation, please contact us. Many projects have been born from spontaneous collaborations.