Founder | Co-CEO
Ex-Uber, WeWork, Hopin. LBS MBA. Strategic COO, expert in building companies as revenue-generating systems.
Founder | Co-CEO
Ex-Google, Hopin. Columbia Business School MBA. Serial entrepreneur in tech-enabled connection.
The promise of social media to connect people failed.
Gen Z and Millennials consider themselves lonely.
The market is starved for consistent, real-life community—not more content or “followers”.
say they spend too much time on social media.
The market is waking up to the attention tax and wants connection without the endless feed.
Match.com revenue down YoY 2025, due to “swipe fatigue”.
The market is exhausted by dating apps like Tinder and Hinge, and demands low-friction, high-trust channels to meet others.
Without intentional human-first design, AI makes it worse: AI companions, polarising content, and deep fakes at scale take people to dark places—isolation, not connection.
The opportunity is deeper real-life connection—at scale.
People already pay tens of thousands a year on club memberships and elite matchmaking services to meet the right people. We deliver that at a fraction of the cost.
Time-poor adults who want deep, real-life connection
Gen Z & Millennials in major cities—seeking meaningful IRL connections but finding the current ways of meeting people stressful and inefficient.
They want to turn interests into consistent after-work and weekend plans with genuinely compatible people.
Key insight
People crave organic IRL connection with a highly curated dynamic—centred on their own lives, interests, and pace.
A Zero-UI Concierge
Invisible Interface
No new app to open. We live where users already chat and use their calendar—a quiet concierge, not a loud platform.
Organic Compatibility
We match on intent, energy, and context—not just filters. Fewer, better connections; the right person in the right setting.
Frictionless Coordination
We handle the logistics that kill momentum—locking in a time, sending reminders, and even setting up a quick 1:1 video call to check the vibe. No back-and-forth. No calendar Tetris.
The Three Pillars
Proprietary Data
Signals others ignore: show-rates, punctuality, post-meet chemistry.
- Behaviour
- Preferences
- Chemistry
Orchestration Engine
White-glove at scale via a multi-agent network.
- Orchestrator
- Matchfinder
- Connector
- Scheduler
Trust & Safety
Reputation as a physical asset; users pay to join.
- Verified IDs
- Reliability Scores
- Standards
Where the moat leads
The trusted standard for curated, IRL chemistry. From Day 1.
Proprietary data, orchestration at scale, and trust create switching costs and category ownership that compound with every match—not replicable by feature copy.