We have built models to recognise patterns in our relationship data to make informed recommendations within seconds.
We use our NLP Library to extract valuable insights from projects, biographies, social media, press releases and much more.
We work with our community of professionals and clients to verify assumptions made by our model and add confidence to our output.
We use proprietary data to identify patterns and to map out the ecosystems that companies
We can automatically research the web to find additional information on companies, topics and experts that support our matches.
We work with our existing community to find the best professionals for a business’ needs by leveraging the power of referrals.
Our technology can take a business need and rapidly recommend advisory relationships.
It maps out relationships between companies, as well as combining professionals’ references and referrals to make these recommendations.
Our technology doesn’t only rely on a professional’s profile. It also searches the web to supplement profiles and make better matches.
Using machine learning, we review 1000s of press releases, social media feeds and company websites to identify people and their areas of expertise.
Imagine you could access small teams of Fortune 500 executives who could advise you on your most pressing business challenges. Circles are groups of 3 professionals built around different business topics for just that.