Case Study: Kongsberg Automotive boosts innovation with IPRally

How knowledge graphs help Kongsberg Automotive boost innovation

Kongsberg Automotive, a developer of automotive products with a large in-house IP portfolio, faced a challenge in its innovation workshops. Their engineers and IP attorneys struggled to communicate effectively, and their traditional patent search tools were too slow and reliant on keywords, making it difficult to provide immediate feedback. This gap hindered the creative process and made initial patent searches for new ideas a time-consuming, post-workshop task.

The vendor, IPRally, implemented its knowledge graph AI search tool to address this. IPRally understands natural language, allowing consultants to input ideas in real-time and generate immediate, visual results during the workshops. This provided a common language for engineers and attorneys and delivered a massive time saving. IPRally accelerated the entire process, from identifying prior art to fostering new inventions, and is expected to provide significant long-term cost savings by reducing reliance on more complex, traditional search systems.

Kongsberg Automotive

Kent Häll

R&D Engineer and IP Analyst