Ziel
Cobiro is a revolutionary artificial intelligence (AI) platform for managing and optimising Google AdWords. Our solution is an advanced software and AI algorithm that automatically manages the entire process of extracting keywords, AdWords bidding, purchasing, managing and reviewing. Our competitive advantage lies in our Natural Language Processing (NLP) algorithm that computes and extracts appropriate keywords leading our platform to beat all current market solutions by 20-180% in purchasing conversion rates for up to 75% of the budget spend. Cobiro currently works only through web-shops which is a limiting feature for the most important segment of the market – service SMEs across Europe.
The AdAI project will adapt, demonstrate and commercialise our product for a completely new market segment while adding client onboarding functionality throughout our platform that we currently do not possess. We have developed a new Service Module for our platform which is at TRL6. The Service Module when finalised, with its highly-developed NLP algorithm, will enable our platform to extract keywords from simple websites/unstructured data and enable us to offer our platform to all types of service companies across Europe.
The AdAI project will move our product to full technical and commercial readiness. Upon successful completion of the AdAI project, Cobiro will be the only company offering such an automated and integrated solution for AdWords management. By year 5 post-project, our turnover expectations are EUR 39,780,000 with profit of EUR 25,857,000 and generation of at least42 new jobs.
AdAI will provide European SMEs with an affordable and simple tool that automatically manages all the processes associated with digital search marketing, providing them with higher client flows, high conversion rates and sales. It fits into the EC initiative for a Digital Single Market that seeks to enable businesses across EU to utilise new digital technologies for business growth.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- natural sciencescomputer and information sciencesdata sciencenatural language processing
- social sciencessociologyindustrial relationsautomation
- social scienceseconomics and businessbusiness and managementcommercee-commerce
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEINST-2-2016-2017
Finanzierungsplan
SME-2 - SME instrument phase 2Koordinator
1263 KOBENHAVN
Dänemark
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).