Swipe-based matching, realtime chat and trust & safety — built to turn matches into conversations rather than dead ends.
Dating apps rarely fail at matching — they fail at the moment two people are supposed to start talking. We built a product where the matching model, the chat experience and the safety layer are designed around one metric: matches that become real conversations.
The founding team had validated demand but their prototype stalled at the conversation step. Matches piled up and went cold, moderation was manual, and realtime chat buckled whenever a campaign drove a traffic spike.
We re-scored matching on signals that correlate with people actually replying — shared intent, activity windows and response history — instead of proximity and photos alone.
Prompt-based openers seeded from each profile removed the blank-message problem, with expiring matches creating a gentle reason to start.
Automated image and text screening, in-chat reporting, block-and-vanish and a moderation queue with clear escalation paths.
A WebSocket gateway with Redis presence and fan-out, offline queueing and delivery receipts, load-tested well beyond expected launch volume.
Analysts ask a question in plain language; the system writes verified, read-only SQL against a governed warehouse and returns the answer with its workings.
A retrieval-grounded support assistant that cites its sources, knows when to escalate, and never invents an answer.
A shared operational core — identity, roles, scheduling, billing, reporting — with vertical modules for academics and for clinical care, plus a mobile app for everyone outside the office.
Book a free consultation. We'll map the highest-impact opportunity for your business — no obligation.
