Horizon 2020

H2020

Horizon 2020 is the EU Research and Innovation Framework Program primarily aimed at supporting research and technological development.

Horizon 2020 finances research projects as well as scientific and technological innovation that lead to a significant impact on European citizens’ everyday life.

The program is open to organizations and people belonging to the EU member states and associate countries through a project’s presentation.

The European Commission evaluates all the proposals according to specific criteria such as excellence, impact and feasibility and the appropriate ones are admitted to the funding.

Horizon 2020 is the EU Research and Innovation Framework Program primarily aimed at supporting research and technological development.

Horizon 2020 finances research projects as well as scientific and technological innovation that lead to a significant impact on European citizens’ everyday life.

The program is open to organizations and people belonging to the EU member states and associate countries through a project’s presentation.

The European Commission evaluates all the proposals according to specific criteria such as excellence, impact and feasibility and the appropriate ones are admitted to the funding.

Our project

Our project for this program is CB1-18 Chatbot tool for automatic job interview, a software system that will change the environment and the organizational structure in the way that staffing industry works.

CB1-18 is a computer program able to interact with applicants and to conduct a job interview automatically through use of Artificial Intelligence and semantic rules.

Our software can first verify their applicant’s skills with questions about their professional career and then verify the skills through a language test and a soft skills test.

CB1-18

The recruiting robot.

Features

Our analysis has revealed a positive outcome in terms of feasibility according to:

Market Survey
After a Market Survey, it has been revealed that the evaluation of such an amount of applicants is a real issue; companies spend too much time and money to recruit candidates, so only a small number of applications are evaluated.

Technical feasibility
The technological part of this process represent a re-evolution of our existing software, we already have the expertise and know-how to develop such a technology.

Target Market
CB1-18 can be implemented in any big company or SMEs in all sectors and over 20 languages: German, French, English, Italian, Dutch, Spanish, Bulgarian, Russian, Portuguese, Greek, Chinese, Swahili, Slovak, Slovenian, Estonian, Polish, Romanian and Czech.

A unique and innovative solution

Asset value: complete human capital enhancement, save time/money, 85% time reduction leaving to the recruiter the time to do the evaluation; companies are able to meet their needs quickly; innovative software; digital transformation: the software will do all activities with the low added value diving back professional HR work.

Objectives

Our objective is that of creating software, which can help the employability through the optimization and automatization oh the recruitment process.

In particular, the aim of our project is that of developing a new product that can potentially change the recruiting workflow turning almost the entire selection process in an automatic way in order to avoid wasting time and to enable humans just to make the final decision.

Our software will help people to highlight their skills and willingness towards a fairly competition where all candidates start at the same level regardless their status.

What we have done

The European Commission accepted our project and we were able to overcome the first phase of Horizon2020: of all the Suisse companies interested, which submitted their proposals, only 55 were able to participate, two of which in Ticino and one of which is exactly Arca24.

What we are doing

Now we are ready to deal with second phase as well. The first event is on the 10th of October, for which we are working with partnerships and collaborations for the development of our project.

This project has received funding from the European Union’s Horizon 2020 research and innovation Programme under grant agreement No 816305 – CB1-18.