L’innovazione è protagonista indiscussa di Maker Faire Rome e per questo è il nostro perfetto elemento. Il successo straordinario della nostra partecipazione è il frutto del suo essere un’esperienza ad ampio raggio, fatta di conoscenza e scoperta per il pubblico ma anche per gli espositori, che aiuta a focalizzare al meglio verso il proprio mercato di riferimento.
Exhibitors 2022
- EDUCATION
- GAMES
- SCIENCE
- STEAM PUNK
- AEROSPACE
- DRONES
- FABRICATION
- ARTIFICIAL INTELLIGENCE
- ROBOTICS
- VIRTUAL REALITY
- NEW MANUFACTURING
- RECYCLING & UPCYCLING
- STARTUP
- ARTISANS & NEW CRAFT
- FASHION & WEARABLES
- PRODUCT DESIGN
- HOME AUTOMATION
- INTERNET OF THINGS
- WELLNESS & HEALTHCARE
- INDUSTRIAL AUTOMATION
- OPEN SOURCE
- 3D PRINTING
- ART
- ENERGY & SUSTAINABILITY
- YOUNG MAKERS (< 18)
- FOOD & AGRICULTURE
- CIRCULAR ECONOMY
- 3D SCANNING
- KIDS & EDUCATION
- CULTURAL HERITAGE
- BIOLOGY
- MUSIC & SOUND
- HACKS
Beyoond - Easy AI for your business
Artificial intelligence solutions on the market are expensive, require technical skills, and are difficult to integrate. BEYOOND is the first suite that offers AI plug&play modules for SMEs and Large Companies. Beyoond is the result of the work that HPA - an accredited spinoff of the University of Verona - has been carrying out since 2017, supporting its customers in the development of forecast models and custom artificial intelligence algorithms, designed and optimized on the specific needs of the company. AI modules in Beyoond are market validated, available in SaaS or on-premise mode, scalable, secure, and contain preloaded exogenous data for data enrichment.
HPA - High Performance Analytics
HPA is an accredited spinoff of the University of Verona and since 2019 part of the Terranova Group, which was born from the passion and skills of a team of mathematicians, data scientists, and developers to provide the market with Artificial Intelligence algorithms capable of improving the performance of the decision-making systems adopted by companies in every product sector. Areas of focus include predictive analysis, anomaly detection, image recognition, and text analysis (NLP). The techniques used constitute an innovative mix of statistical-inferential approaches, continuous stochastic analysis, and approaches based on Machine Learning and Neural Networks.