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Technology transfer

16/04/2015

InriaTech, research and innovation for jobs

Since April 2015, through the Lille research centre, Inria has been trying out a new initiative in the Hauts-de-France region aimed at transferring the technologies of its research teams to businesses: InriaTech. This initiative - Inria's first technology transfer platform aimed at accelerating technology transfer towards businesses - is part of French Tech, an action for the growth of start-ups.

Key figures

  • Creation: April 2015
  • 10 engineers
  • 3 business managers
  • 20 R&D partnerships with businesses in one year
  • 3 experimental and technological platforms
  • 1 showroom   

InriaTech intends to:

  • further the technology transfer of the research carried out in the different Inria research teams to businesses, in particular SMEs;
  • stimulate the creation of start-ups, in particular by InriaTech engineers;
  • create joint laboratories between the SMEs and Inria project teams (Inria Innovation Labs).

This way, Inria's first technological platform helps with the upgrading of regional businesses in the key digital technologies and furthers the development of private R&D in the region.

Partners

The platform's activities are also backed by the local authorities including the Hauts-de-France regional council, the Métropole Européenne de Lille and the European Regional Development Fund (ERDF). InriaTech activities are becoming part of the Institut Carnot Inria.

Themes

In support of the Inria project teams, and those of the Inria Lille - Nord Europe centre in particular, InriaTech engineers mainly take action in the following fields:

  • Machine learning
  • Operational research
  • Statistics
  • Robotics
  • Internet of Things
  • Software engineering
  • Human-computer interaction

InriaTech relies on 3 experimental and technological platforms:

  • FIT, which is an Equipex (equipment of excellence) on the Internet of Things;
  • Grid’5000, Inria national platform;
  • Interaction-image platform.

Some examples of collaborations:

  • Aodyo (detection of actions for musical instruments);
  • Cylande (sales prediction);
  • Keycoopt (contribution of machine learning in the field of recruitment);
  • La Maison Attentive (prototype of a robotic overbed table);
  • What A Nice Place (contribution of machine learning in the field of interior design).

InriaTech's main challenges are:

  • to intensify R&D collaborations and technology transfer from Inria to businesses;
  • to upgrade businesses in the key digital technologies, in particular via the creation of joint laboratories;
  • to promote the creation of start-ups by InriaTech engineers.

Keywords: InriaTech Technology transfer

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