Grip is a London based startup that specialises in “smart event networking software”. That sounds like a relevant problem to solve, because don’t we all have a (secret) love-hate relationship with ‘networking’ at events!?
Yes, I’d love to meet with interesting people at events but I hate approaching people ‘cold’.
Let’s have a closer look at how Grip is looking to solve this problem:
My quick summary of Grip (before using it) – I expect an app that uses clever algorithms to suggest relevant people to meet during events.
How does Grip explain itself in the first minute? – The Grip homepage describes the tedium involved in networking at events, with attendees often failing to make the connections they’d hoped for. Grip’s value proposition is to remove this tedium by unlocking “valuable connections at your event, saving attendees time and hard work. We use advanced algorithms to recommend the right people and present them in an easy swiping interface that your attendees will love.”
Getting started, what’s the process like? – Grip uses natural language processing to connect event attendees based on interest, needs and other things they’ve got in common. I liked Grip’s ability to tell an attendee not just who, but also why they should meet someone, in the form of Reasons To Meet.
Grip users will be able to tailor the real-time recommendations they get by setting their own matchmaking rules. I like the element of Grip not totally relying on machine learning, but also giving users the opportunity to feed their preferences into category rules into the Grip dashboard. This will influence the matchmaking engine in real-time and improve the future recommendations for event exhibitors, delegates and sponsors.
I can imagine that the data around users’ acceptance or rejection of Grip’s suggested matches, will help in further refining the app’s recommendations. This reminded me about the review that I did of THEO recently. THEO acts a ‘robo-advisor’ and uses machine learning to provide its users tailored investment advice.
Integrating the Grip API – Apart from the app, Grip have also got their own API, which makes it easier for companies to incorporate event matchmaking capability into their website or apps.
Main learning point: Grip is taking a significant problem for event attendees and exhibitors, and is using machine learning to solve this problem in a real-time and personalised fashion.
Related links for further learning:
2 responses to “Grip (Product Review)”
I was disappointed with Grip for two reasons. It wasn’t pro-active in helping me connect and stay in contact with people. Plus it would have been great to see an integration wuth Linkedin which is the modern day rolladex.
Thanks for the feedback. Grip uses artificial intelligence to proactively recommends people to meet at an event. As explained in this post by Marc Abraham – “Grip uses natural language processing to connect event attendees based on interest”.
Concerning LinkedIn, We are fully integrated with Linkedin and you can easily sign in to Grip with your LinkedIn profile. When you connect with others you can easily request to connect on LinkedIn.