Expernova’s vision since 2009 has been to create an Innovation Graph data model of the experts, innovative companies, universities, networks and knowledge that pinpoint innovation opportunity for every industry. We think that Machine Learning and Network Intelligence can play a major role in revealing advanced expertise, influence and strategies.
Modeling innovation ecosystems
The graph’s building blocks come from the scientific and technological data, collected all over the world, targeting the innovation leaders, linking experts with organizations, and tracking the collaborations. This information is stored in our database model that emphasizes the relationships between entities. Expernova’s obsession is connected data!
A continuously growing value
Each month new data is collected, curated and integrated into the graph, creating a unique and dynamic asset. Millions of skills, technologies, or methodologies are identified and added to the innovation profiles of the targeted stakeholders. This huge and unique knowledge make it possible to detect newcomers, rare skills, moves…
Network intelligence for innovation performance
The assessment of rival or partner relationships and capabilities reveal high level expertise, opinion leaders and strategic moves. Explore relationship mix, duration, emerging topics, size of firms in relationships, strength and position in the relationships, location of collaborations…
From modeling to predicting
Dealing with Big Data is our daily work. Our R&D team has developed a unique know-how in data analysis: Data ingestion, data curation, disambiguation, duplicates and mobility, focused crawling,… Expernova is evolving our machine learning approach to provide new indicators, suggestions and trends analysis regularly.
Let’s talk about how Expernova can help you better understand
your innovative ecosystem!