The in-house
family super assistant.
One AI subscription that knows your whole family — schedules, allergies, milestones, and preferences — remembered forever, understood by everyone.
AI assistant market
unlimited members
after 6 months
deadline
The problem
Five devices.
Zero shared memory.
Every person in your family has their own AI. But none of them talk to each other. None of them remember what matters. You're still the one holding it all together — and that's exhausting.
Market opportunity
A $90 billion
gap nobody has filled.
The household AI market is enormous — and completely fragmented. No one has built the shared family layer. Kincierge owns that category from day one.
Core pillars
Three things Kincierge
does that no one else can.
Kincierge isn't another AI chatbot. It's your family's personal concierge — a living, growing intelligence that knows every member, remembers everything, and executes on your behalf.
8-week build sprint
From idea to pitch stage
in 56 days.
The Perplexity Billion Dollar Build competition requires a working product submitted by June 2, with finalist pitches on June 9. Here is the week-by-week build plan.
Tech stack
Lean. Fast. Built to scale.
Every technology choice is optimized for speed to MVP — no over-engineering, no unnecessary complexity. Ship first, optimize later.
Agentic execution
Kincierge doesn't remind you.
Kincierge does it for you.
Every competitor stops at reminders. Kincierge goes further — it acts on your behalf with full family context already loaded. This is where the product becomes truly irreplaceable.
Unit economics
The math works.
Here's the proof.
Yes — AI inference at scale is expensive. Here's exactly how Kincierge's revenue model outpaces infrastructure costs as we grow, and what the bridge looks like before we get there.
Monthly cost per household
Assumes avg. 40 AI interactions/day per household. Drops significantly with caching, batching, and volume discounts at scale.
Revenue per household
73% gross margin. Every new household is immediately accretive. No physical goods, no per-unit manufacturing cost, no inventory.
Revenue vs. infrastructure at scale
| Households | Monthly Revenue | Infra Cost | Gross Profit | Margin |
|---|---|---|---|---|
| Demo (10) | $250 | ~$200 | $50 | 20% |
| Launch (100) | $2,500 | ~$800 | $1,700 | 68% |
| Growth (1,000) | $25,000 | ~$6,000 | $19,000 | 76% |
| Scale (10,000) | $250,000 | ~$45,000 | $205,000 | 82% |
| Unicorn (100,000) | $2,500,000 | ~$350,000 | $2,150,000 | 86% |
Infra costs decrease per-household at scale due to API volume discounts, prompt caching, shared model layers, and infrastructure amortization.
The unicorn moat
No competitor can replicate that data or that execution history. Every month a family stays, Kincierge gets smarter — about their preferences, their providers, their rhythms. It knows which dentist Nova likes, which restaurants the family returns to, which hotels worked on the last trip. That compounding context, combined with an execution layer that actually acts on your behalf, creates a product that becomes more indispensable every single day. Churn approaches zero. LTV approaches infinite. The wall gets higher with every booking made, every appointment kept, every vacation planned.
What's next
The step-by-step
path forward.
A clear prioritized sequence from where we are today through the June 9 pitch — and beyond.
The team
Built by people who
live this every day.
Kincierge isn't being built by people who've never run a household. It's being built by two fathers who have lived every messy, beautiful, overwhelming moment of family life — and who know exactly what it would mean to have one AI that finally has it all figured out.
Early access
Your family deserves
better than five apps.
Join the waitlist. Founding families get 3 months free and shape the product from day one.