Innovation Blog

How R&D and Innovation Teams Can Use AI To Change The Way They Launch New Projects And Reach Innovation Faster!

In the Want-Find-Get-Manage framework of R&D and innovation, the Find stage is where companies go wrong - and where the greatest opportunities lie. The problem isn't in the lab or the budget - it's the moment when teams choose which problems to solve.

Here's what you'll learn: - The origins of Findest and its mission to bridge the gap between scientific research and business application. - How Findest's AI-powered platform, "Igor AI," helps businesses uncover hidden gems in scientific literature and patents. - Why the future of technology scouting lies in human-AI collaboration, not replacement. - Vincent's top tips and advice for companies engaged in R&D and technology scouting.

The PFAS challenge represents an unprecedented opportunity to reimagine materials and processes. Organizations that view this solely as a compliance challenge miss the bigger picture.

Discover how Jim Collins' “Good to Great” principles can revolutionize R&D teams. Learn why technology alone isn’t enough, how finding your "Hedgehog Concept" gives research real direction, and how a disciplined approach transforms good innovation into greatness.

In the rapidly progressing field of research and development (R&D), teams often encounter repeating challenges. This blog presents four insights explaining the common obstacles R&D teams face in knowledge sharing and the resultant unnecessary repetition of work. It highlights that teams often solve the same problems in isolation, centralized knowledge management is not always effective, there is typically a short attention span for internal searches, and valuable knowledge can stem from smaller projects. To improve efficiency, we propose two strategies: 1) Improving knowledge management systems to make existing knowledge more accessible, nudging employees to search internally for solutions, and 2) Encouraging real-time documentation using AI technology to track and record work progress. These strategies aim to reduce repetitive work and maximize innovation in R&D environments.

Before creating the Universe, we consulted R&D professionals on their research approach, paper reading, and experiment observation. We discovered that everyone has a unique method, which can be classified into three categories: structured, semi-structured, and unstructured.

See how leading companies in Europe organize technology scouting: predicting customer needs, mapping knowledge, sharing work across teams, testing new ideas, and managing insights.

Cost-focused companies can stay competitive by building strong technology scouting teams, partnering with external innovators, and using AI tools like IGOR^AI to track trends. Learn how to spot the right moment to follow new technologies and avoid costly risks while keeping your edge.