Case Study · PREMIUM MATCHMAKING · US
An AI-powered iPhone product that helps discerning professionals decide who is worth their time, before they ever meet.
The story
Traditional dating products optimise for browsing volume. Users see a large number of profiles but get little insight into how another person actually lives, what they prioritise, or where a relationship might naturally align. For busy professionals that becomes a costly loop of repeated swiping, shallow conversations, and dates entered with too little context. Nuance, a launched AI-powered iPhone product for discerning professionals, reframes the experience around a sharper question: is this connection worth the user's time and attention? At its core is an AI compatibility layer that reads goals, lifestyle, and preferences to surface high-compatibility introductions rather than an endless feed. KUMO helped shape and deliver the product end to end, across adaptive onboarding with an optional concierge path, rich profiles built around real life, AI-led preference discovery, curated introductions with AI-driven compatibility insight, a coin-based model that makes each action deliberate, messaging with availability coordination, and the trust and account controls a considered dating product needs, through to quality assurance and release readiness. It is live on Apple's App Store, positioned as AI-powered, investment-style matchmaking for people who want curated, high-compatibility connections based on goals, lifestyle, and preferences.
What we delivered
Onboarding captures more than surface details: lifestyle rhythm, relationship priorities, pace, and the qualities a user values in a partner. Time-constrained users can choose a concierge path for help shaping the profile while still reviewing, refining, and approving it before any introductions begin.
Profiles go beyond photos and short prompts to bring together personal perspective, lifestyle patterns, relationship dynamics, interests, and priorities, so an introduction shows how someone actually lives, not just how they present in a bio.
Detailed control over what someone is looking for, across lifestyle, availability, family context, ambition, rest, intimacy, and other relationship priorities. The AI works from those signals, while the user, not the product, stays in charge of what matters most.
Discovery is organised around a considered set of AI-matched introductions, explorable through familiar, balanced, or growth-oriented styles, so the experience feels deliberate while still leaving room for discovery beyond a narrow checklist.
The AI reads goals, lifestyle, and preferences to surface structured context for each introduction: shared priorities and lifestyle alignment, areas of difference, potential points of friction, and a clearer view of mutual fit, giving the user enough to decide whether a connection merits a closer look.
A coin-based model makes interest deliberate: users preview an introduction and choose to unlock deeper compatibility and messaging, then coordinate availability in the conversation. Verification cues, notification preferences, blocking and reporting, and clear saved, active, passed, or expired states keep the journey safe and in the user's control.
Highlights
Services
Web, mobile, and platform software, with AI built in.
→ Web & Mobile DevelopmentProduction web and mobile for teams ready to scale.
→ Product Design (UX/UI)UX research, product flows, and UI, built by the same team.
→ AI Product & PlatformProduction AI products and platforms, built to last.
→
ENTERTAINMENT · UK How KUMO built Flickd, a production AI social platform for film and TV fans, founded by an ex-Amazon AI engineer.
Read the story ->
CONSUMER HEALTH · UK How KUMO built Gluf, an AI-powered gluten-free restaurant discovery app for the UK coeliac community. Award-shortlisted.
Read the story ->
HEALTH & FITNESS · MOBILE · US/UK How KUMO built and evolved SweatScore, a live iOS and Android fitness community app, into a points-and-streak engagement system where movement becomes visible progress and social proof.
Read the story ->We'll listen first, ask the right questions, and follow up with a clear proposal.
