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Flaner, a memory enhancement software platform

Objective

In a world where the amount of data is increasing exponentially, so is content
consumption. It goes without saying that our memory alone is not enough to handle such
overwhelming amount of information. To face this challenge, we have created Flaner: a memory
enhancement software platform that provides a seamless technology to extract relevant
information from any content users choose to memorize and is able to automatically retrieve
such information at the right moment and in the right context. Powered by a strong technology
backbone based on information retrieval, natural language processing, machine learning, neural
networks and deep learning, among others, Flaner will understand and extract the relevant
information from that content, continuously enhance it and, using context identification and
recommendation systems, automatically and proactively bring back memory insights notifying
users whenever these are most valuable to them - acting as a digital extension of our memory. As
this problem is enormous and execution focus is paramount, the company has decided to tackle
one vertical at a time and initially help users to memorize content around places, targeting
people who are interested in exploring their own cities or travelling to different ones, positioning
Flaner to disrupt the huge travel and tourism market. Flaner will also connect users with creators
and curators of content, meaning publishers, bloggers and influencers, giving them tools to
better engage their audience, reduce time spent to create content, successfully transition from
desktop to mobile and grow their monetization. Flaner’s memory enhancement technology
focused on places is inherently a global product, while also allowing for future expansion to
different verticals. The SME instrument Phase 1 is thoroughly aligned to Flaner's strategy, as a
solid feasibility study will guide future growth, allowing us to improve our business plan, while
also focusing on further technological development

Field of science

  • /natural sciences/computer and information sciences/data science/natural language processing
  • /natural sciences/computer and information sciences/software
  • /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

FLANER, LDA
Address
Rua Vitor Cordon N 10-A 5
1249 202 Lisboa
Portugal
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000