Winsan is the company behind Aimable — the AI dating companion built to optimize for the meeting, not the swipe.

Traction — the Paris pilot, in four numbers

18 months. One city. No feed, no swipe loop. Near-zero ad spend — built to stress-test the model, not chase growth. People kept coming back.

• 938 → 680 signups → fully onboarded through a deliberately demanding onboarding.
• 3,800 AI-led matches delivered — avatar-led filtering, zero swipes, zero feed.
• 17,000+ real human conversations sparked by avatar matches.
• 86% post-match acceptance — when an avatar matches, 6 in 7 pursue it.
• Vanessa & Eddy — together 1+ year, met through the pilot when their avatars started a conversation neither would have dared to: "Without that AI agent starting the conversation, we might never have spoken."

Why now — the incumbents are cracking, no AI-native winner has emerged

Tinder has lost paying users for nine straight quarters. Bumble's valuation fell from $20B to $2.7B. The category is contracting — and their business depends on keeping people on the app, while ours depends on getting them off it. That's an incentive conflict they can't refactor away.

78% of users feel burnt out. ~73% want a long-term relationship — only ~10% ever form one through an app. Half the market wants something real; the product delivers it to almost none of them.

Dating is the wedge, not the ceiling. Every avatar conversation and real meeting builds a living compatibility graph — the only dataset linking intent to real-world outcome. That same engine extends to professional networking, communities, and events.

Company thesis

• Agentic discovery replaces manual browsing — personal agents screen context, preferences, behavior, and intent before a human spends attention.
• Compatibility becomes a living graph — every interaction, preference, event, and outcome improves matching over time. A product loop, and a moat, beyond static profiles.
• The winning products move offline — the most valuable social outcome is not another inbox. It is a qualified meeting, a real plan, a curated group context.

Product — how Aimable works

1. Your AI companion learns your values, intent, and lifestyle.
2. It searches the discovery graph for high-compatibility people nearby.
3. Avatars chat first — qualifying fit without pressure on either side.
4. When there's a real match, Aimable plans the meet (place, time, vibe).
5. Aimable Pulse turns matches into curated real-world events: your AI pre-screens attendees and recommends who to meet on the night.

Team — two founders. One built it, one scales it.

Pre-seed is a bet on the people. The pilot was built and validated by a single founder. The Seed turns that into a company.

• Sasan Mahdian — CEO & Co-founder. Built the entire Paris pilot solo — backend, AI pipeline, brand, and acquisition — and proved the model over 18 months. Deep GDPR architecture expertise and a track record leading complex transformation programs in financial services.
• Win Man — COO & Co-founder. MD-level operating leader who managed a £9M portfolio. Brings the financial discipline and operational rigor to take Aimable from a proven pilot to a multi-city product.

The raise — $1.5M Seed

15–18 months of runway to scale from Paris to our first four launch cities — NYC, London, Paris, SF. Break-even targeted in 2027 at 90%+ gross margin. The capital scales a working machine, not a hypothesis.

• TAM: $10.6B global online dating today → $14B+ by 2030 (7.6% CAGR).
• SAM: $6.5B+ — North America + Europe.
• SOM: $50M+ near-term target (<1% of SAM).
• Demand signal: 13M singles across our first four launch cities — 47% say they'd use an AI dating app.
• Use of funds: city activation (4 markets), team (ML, mobile, ops), avatar engine & AI, mobile app (iOS + Android).