A Digital R&D team member, automating scientific knowledge handling, allowing European R&D to increase their speed of innovation

The project aims to enhance corporate innovation in the EU by developing a Digital R&D team member using advanced Machine Learning to reduce researchers' data handling time by 30%.

Subsidie
€ 2.387.000
2023

Projectdetails

Introduction

The European Union is a global leader when it comes to producing brilliant science, but struggles to commercialize it. We offer one part of a solution, to increase corporate innovation efficiency by 5-10%.

Problem Statement

To remove the current 30% of industry researchers' time wasted on searching for, aggregating, and cleaning data, European corporates need a Digital R&D team member who can:

  • Read data
  • Analyze content
  • Develop insights autonomously in a secure, protected, and scalable way

Solution Development

This has not been possible until now, but after almost 6 years of research and development and early commercialization on the forefront of Machine Learning and Natural Language Processing, we are in the right position to complete and scale a unique European innovation.

Market Validation

Our solid traction with corporate Proof of Concept clients proves a serious market need.

Team Overview

The Iris.ai team has:

  • A strong female CEO
  • A powerful co-founder team
  • 20 team members across Europe

All are dedicated to their for-profit for-impact mission.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 2.387.000
Totale projectbegroting€ 3.436.987

Tijdlijn

Startdatum1-5-2023
Einddatum30-4-2025
Subsidiejaar2023

Partners & Locaties

Projectpartners

  • IRIS AI ASpenvoerder
  • IRIS.AI BG

Land(en)

Geen landeninformatie beschikbaar

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