EMOJ was born in 2017 as spin-off of the Polytechnic University of Marche in Italy, from the inspiration of five young researchers and a visionary businessman. The team aim is to transform the world of Customer Experience and become leader in customer-centric innovation by inspiring brands to create successful digital experiences to increase sales. Today EMOJ is one of the most 20 promising Italian startups per Unicredit Startlab and Bocconi University with 40 experts in Artificial Intelligence and strategies for the digital transformation in numerous business cases. More than 30 scientific papers about the facial coding technology and its applications are published on International Journal and Conference Proceedings.
>>HUMAN FIRST, BEFORE THE ARTIFICIAL<<
How it works
Multiplatform system to analyse complex human states in real time, learn from them and create emotional, adaptive and unique experiences
01. Analyse
WHO IS THE CUSTOMER?
Real time gaze and facial expression recognition
Complex human states in context and unfiltered responses
4K camera, webcam and video surveillance cameras
02. Know
WHAT ATTRACTS MORE?
Age, gender, gaze, interaction, emotion
Interest, attention, satisfaction, engagement
customer segmentation and journey map
03. Decide
HOW TO CHANGE THE EXPERIENCE
Omnichannel strategy and insights
Frustration –> Satisfaction
Use of decision tree and machine learning
04. React
HOW TO BE RESPONSIVE
Real time reactions to adapt the customer experience
Single and unified experience across all channels
Web, Mobile App, Instore
Business Cases
From emotions, through analytics, to reactions
What do you feel?
Emoj is emotion code to detect emotion in real time
Meet with us
Our partners
Main financed projects
MUSE: iMprove the User experience by Sensable space and reactive servicE.
POR MARCHE FESR 2014 – 2020 – Asse 1 – azione 4.1 – “sostegno allo sviluppo ed al consolidamento di startup ad alta intensità di applicazione di conoscenza – bando 2016”. – CUP: B38I17000540007
INSPIRING: an innovative tool to co-create products by integrating physical and digital processes and achieve the Omnichannel Customer Management.
POR MARCHE FESR 2014/2020 – Asse 1 – OS 1 – Azione 1.2 – Ingegnerizzazione, industrializzazione dei risultati della ricerca e valorizzazione economica dell’innovazione (Bando di accesso 2017). – CUP: B37H18007270007
SFERISTERIO EXPERIENCE: Dal turismo culturale al turismo esperienziale, didattico e accessibile”, finanziato dal POR MARCHE FESR 2014 – 2020
Asse 3 – Os 8 – Azione 8.1 “Sostegno alla innovazione e aggregazione in filiere delle pmi culturali e creative, della manifattura e del turismo ai fini del miglioramento della competitività in ambito internazionale e dell’occupazione. CUP: B71B18000290007
HEGO: A novel enabling framework to link Health, safety and ErGOnomics for the future human-centric factory toward an enhanced social sustainability
POR MARCHE FESR 2014/2020 – Asse 1 – OS 1 – Azione 1.1 – Int 1.1.1. – Promozione della ricerca e dello sviluppo negli ambiti della specializzazione intelligente – Linea 1 – CUP: B38I20000170007.
Finanziato dai Fondi Regionali 2017/2021 – FR_IRC5 Sviluppo economico e competitività attraverso il bando: sostegno all’avvio e primo investimento delle start-up innovative.
NextPerception – Next generation smart perception sensors and distributed intelligence for proactive human monitoring in health, wellbeing, and automotive systems.
EU Action line: ECSEL joint undertaking and co-funded by EU H2020 programme – EU project code: 876487 – Italian national funding project code: B32F19000160005
EU Action line: ECSEL joint undertaking and co-funded by EU H2020 programme – EU project code: 876487 – Italian national funding project code: B32F19000160005
Woman4tech – HEGO Project: Health, safety and ErGOnomics for the future human-centric factory.
HORIZON-EIE-2021-SCALEUP-01-03 – Grant Agreement 101071451
HORIZON-EIE-2021-SCALEUP-01-03 – Grant Agreement 101071451
This project has indirectly received funding from the European Union’s Horizon 2020 research and innovation programme, via an Open Call issued and executed under project KITT4SME (grant agreement No 952119)
