Like six degrees of Kevin Bacon, but for your goals.
Connect your network (LinkedIn, contacts, email) and tell Relatus what you are trying to do: raise capital, hire a key role, break into a new field, open a bakery. The Relativity engine unifies your first and second degree connections into a single meta network, scores every contact for relevance to that goal, and reveals the warm intro pathway to the person who can help. Then it helps you make the ask.
Every contact is enriched into a super record through Crunchbase and PitchBook partnerships. At due diligence the platform already held 200 to 300 thousand profiles and 1.7 million entity connections, serving four users: founders raising, fund managers finding LPs, hiring managers sourcing, and anyone seeking expertise.
Founded by Monte Gibbs. Joyce Reitman (previously turnarounds across Mark Cuban's portfolio) joined as CEO.
Three bets, one product.
V2 product revision.
I helped drive the reimagining of a report driven web MVP into a mobile first product: richer rProfiles, one click data integrations, warm intro campaign flows (the Connector playbook used by real fund clients), and a freemium to enterprise pricing architecture.
iOS launch.
I took Relatus from web concierge to the App Store: a release plan from internal alpha through wide release, a 90 day metrics framework (DAU/MAU, reports run, messages sent, NPS), and an organic first go to market. The app launched with a 5.0 star App Store rating.
Ember, the AI assistant.
Conceived on the V2 roadmap before the ChatGPT wave hit: a conversational onboarding and discovery layer (Lemonade style). Instead of forms and filters, you tell Ember your goal in natural language and it walks your graph, surfaces who can help, and drafts the warm intro.
Meet Ember.
We put Ember on the roadmap before the ChatGPT wave hit. You tell her your goal in plain language. She walks your graph, surfaces who can help, and drafts the warm intro. One question at a time, no forms.
Live demo. Tap the panel to replay the conversation.
Relatus was built right before generative AI changed the industry. The conversational, goal driven network intelligence we were building toward with Ember is now the default interaction model everywhere. Monte Gibbs ultimately wound the business down, but the thesis aged well.
The most valuable graph you own is your own network, and the best interface to it is a conversation.





