ffly4u

Pdf

Creation of IoT critical business data for Industry thanks to embedded Artificial Intelligence (AI)

Media

Description of your activity

  • ffly4u goes further in creating Industrial IoT critical business data by integrating Artificial Intelligence /Machine Learning technologies into its devices. This makes it possible to identify very precisely the life phases of industrial mobile objects connected by ffly4u. It’s a first in Europe!

Your 2020 Objectives

What you Offer

1. DESIGN AND MANUFACTURING
  • Collaborative projects
  • European projects
2. INDUSTRY 4.0
  • 2.1 FACTORIES AND ISLANDS CONNECTED, PILOTTED AND OPTIMIZED
  • sensors
  • 2.2 Creation, product / process manufacturing
  • Modelling
  • Performance and quality
  • 2.3 ADVANCED PRODUCTION TECHNOLOGIES
  • Optimization, predictive maintenance
  • 2.3 Control / Traceability / Verification
  • Data processing
  • 2.4 Control-Command, Robotics, Automatisms
  • Predictive maintenance
  • 2.5 CONNECTED OBJECTS AND INDUSTRIAL INTERNET
  • Autonomous and communicating sensors
  • Industrial Internet
  • 2.6 Digital / Digital
  • AI Artificial Intelligence
  • cloud computing
  • Machine Learning
  • Predictive modelling
  • 2.7 Logistics Optimization
  • Automated management
  • Digitalisation of the supply chain
  • Supervision and optimization of processes

Your Needs

1. DESIGN AND MANUFACTURING
  • Collaborative projects
  • European projects
  • R&D funding
2. INDUSTRY 4.0
  • 2.6 Digital / Digital
  • AI Artificial Intelligence
  • Predictive modelling

Application fields

  • Aerospace
  • Agriculture, Livestock
  • Automtive industry
  • Chemistry
  • Construction, Civil Engineering and Land Use Planning
  • Consumer goods
  • Defence
  • Environment
  • Health - Health Technologies
  • Industrial equipments
  • Manufacturing
  • Maritime - Naval construction
  • Mining and quarrying
  • Railway
  • Services (Consulting, logistics ...)
  • Telecom

Financing / investment needs

  • Average ticket sought / investment
  • 1 ME to 3 ME
  • 100 to 500 KE
  • 3 to 10 ME
  • 500 KE to 1 ME
  • Stage of maturity / investment
  • Late stage (Series B and following)
  • Typology of funder
  • Bank
  • Business angels network
  • Corporate Venture
  • Family Office
  • Loan and Grant
  • Natural person (business angel)
  • Venture capital

References

  • ENEDIS
  • NEXANS
  • AIRBUS
  • GEFCO
  • SUEZ
  • PIERRE FABRE

Equipment, Technologies and Processes used

  • Artificial Intelligence
  • Machine Learning
  • GPS
  • BLUETOOTH
  • NFC
  • ACC 3D
  • SIGFOX
  • LoRa
  • GSM
  • LTE-M
  • NB-IoT

Supplier

Participants

OP avatar

Olivier PAGES

President

LM avatar

Laurie MIQUEL

Sales Manager

Landmarks

  • Turnover : < 2 M€
  • Staff : 10 - 99
  • Category : SMEs
  • Zipcode : 31400
  • City : Toulouse
  • Country : FRANCE
  • 20 000 connected devices
  • Design chain located in France

Group / Member of

  • Digital 113
  • LoRa Alliance
  • Sigfox

Certifications

  • LoRa ALLIANCE
  • SIGFOX CLASSE 0