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HUMANIA · PRE-SEED ROUND

Humania

An AI guide that knows where you are in life.

Built on our map of human development, Sherpa helps you take the next step and introduces the people you need. From those connections, a trust network grows.

RAISING $1M PRE-SEED

Humania Inc. · Delaware C-Corp · Budapest

HUMANIA · INVESTOR DECK · OCT 2026

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THREE MOUNTAINS · THE MAP · EXISTS

Where you are decides what helps.

A map of human development: Success → Happiness → Meaning. Three mountains, twelve stages. Across 21 years and 1,000+ life stories, no one has failed to find themselves on it.

WHERE AM I?

Three mountains, twelve stages: Success → Happiness → Meaning

WHAT IS TIMELY NOW?

A different task at every stage. Not a rank.

WHICH STEP — OR WHICH PERSON?

“Be more independent” frees one person and traps another. The map tells which.

WHAT PEOPLE SAY

“Where have you been all my life?” “It works like Google Maps for my soul.”

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THE PROBLEM · WHAT WE REJECT

The same advice frees one person and traps another.

Advice is abundant. Timely help is rare.

So is the right person at the right moment. Today's tools do one job at a time, and none of them knows where you are.

THE MISSING LINK

What I am living through

What I should do next

Who can help

And when it is timely

NO UNIVERSAL ADVICE

What helps depends on where you are.

NO PERFORMANCE

You shouldn't have to perform for an audience to find your people.

NO PERFECT INDIVIDUAL

Growth is not self-sufficiency. It is becoming yourself, and useful to someone.

Instead: guidance that fits your development, honest private conversation, and people to belong to.

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HUMANIA 1.0 · WHY NOW

The network came first. AI is the missing layer.

Humania 1.0 showed that meaningful connections can form. It did not reach product-market fit. What was missing is now buildable.

01 · WHAT EXISTED

Humania 1.0

3,400+ historical registrations

Experiences · dilemmas · commitments

Founder-observed connections

A learning environment, not PMF

02 · WHAT WAS MISSING

Repeatable personal value.

People need help seeing where they

are and what is timely now,

then a route from understanding

to action and the right person.

03 · WHAT CHANGED

LLMs, and Sherpa

Sustained personal understanding

is viable at consumer scale

A guide useful to one person first

can be the way into a network

→

→

THE HINGE

Humania built the network. Sherpa makes it useful before the network is dense.

Historical registrations are not an active pool. Value starts with one person.

THE FLOW

Private guidance → timely step + follow-through → the people who matter

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SHERPA · FIRST RELEASE · BUILDING

Useful to one person first.

Sherpa doesn't stop at advice. It stays until the step is taken: make sense of what is happening, choose one small step, act with reminders and check-ins, adapt when life changes.

UNDERSTAND

Make sense of it

Where am I on the map with this?

CHOOSE

One small step

In my own words, once there is clarity.

ACT

Reminders and check-ins

Daily follow-up while a step is open.

REFLECT

Make sense of a relationship

A reading from your side, not a verdict.

Concept demo (Aug 2026) · app in development

ORIENT

Provisional orientation

Contextual conversation

ACT

Commitments + follow-through

RELATIONSHIPS

“Why do we keep arguing?”

Explore what may drive them.

One-sided reflection.

A possible interpretation, not their verified viewpoint.

THE LOOP

Understand → choose → act → adapt. Return means a step taken.

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CHOOSE

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HUMANIA · RELATIONAL LOOP · 1.0 → 1.1

The first person we bring in is someone you know.

Growth is relational before it is viral. One card, two uses: share your result, or ask someone to understand you. Strangers come later.

01 · SHARE YOUR RESULT

One card. Nothing private.

Your placement and its explanation

Anyone can place themselves for free

No account needed to share

In 1.0

02 · “UNDERSTAND ME”

A named invitation.

They see your explanation

They place themselves for free

A relationship record exists only

with both consents · in 1.0

03 · TWO PEOPLE, ONE MAP

A shared step.

See where you each are

Agree one step together

Common steps and milestones

In 1.1

→

→

THE NUMBER

K, new people placed per new placer, is what we watch.

Invitations are acquisition. Mutual value is the network.

WHY FIRST

Relational loops need no local density. Strangers wait for the right order.

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HUMANIA · TRUST NETWORK · PLANNED

AI introduces. People build trust.

Strangers come later, in a deliberate order — and the first one isn't a date.

RELEVANCE

A reason to meet

Developmental context and lived experience · not reach

CHOICE

Both people choose

Whether to connect and what to share · honesty is not exposure

EARNED TRUST

What happens next

Useful interactions, reliability, follow-through · no score of worth

HUMANIA 1.0

Founder-observed connections between people at similar stages. Qualitative.

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NEW APP

Introductions planned, by mutual choice only.

THE ORDER WE RELEASE THEM

3. Friend (1.5)

Someone beside you, where local density allows.

4. Dating (1.6)

Last, with verification and safety first.

2. Mentor (1.4)

Someone who has been where you are now.

1. Witness (1.2)

Someone who knows the step you committed to and asks you afterwards.

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THE BET · 2027–2036

Your AI will be a commodity. Your people won't.

We are not competing to be your assistant. We hold what an assistant cannot be: a graph of real people who know where you are.

01 · THE TECHNOLOGY

Advice gets cheap.

Conversation and guidance become

abundant on every model

Sherpa turns them into action

One day any agent may ask our questions

02 · THE SCARCE THING

Reciprocal trust.

A person who knows where you are,

chooses you and shows up

No model replaces that

Trust is earned, not inferred

03 · HUMANIA'S LAYER

The map + the graph.

Placed, witnessed, help-ready people

Identity, consent and safety

Outcome learning from real steps

Only Humania holds the human side

→

→

WHAT COMPOUNDS

Context → timely step → mutual value → repeat participation → learning

Personalization and referrals alone are not network effects. This is what we must prove.

BY 2036

Targets, not forecasts: “Which mountain are you on?” in common language · tens of millions in the app · 10,000 navigators

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BUSINESS MODEL · HYPOTHESIS

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Free for the chatbot. Paid for the humans.

1.0 is fully free. From 1.1 we charge only for value that needs another person or an institution.

FREE · ALWAYS

$0

Finding your place on the map

Conversation, next step, follow-through at light use

Sharing and inviting

Accepting a connection, replying, chatting

A first shared experience

HUMANIA PLUS · PRICING HYPOTHESIS · USD

$12.99/month

A witness for a hard step

A two-person process; one payer sponsors both

Introductions beyond the free allowance

A verification credit (institute credential)

Navigator sessions: marketplace, 20–30% take rate

What a general assistant can do stays free.

WHY

No contest with free AI. A chatbot can't copy it. People already pay for humans.

Every paid item involves another person.

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GO TO MARKET · FIRST USEFUL NETWORK · HYPOTHESIS

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Start concentrated. Expand with proof.

Creators and communities bring cohorts with a shared life situation, not just traffic. We introduce by hand before we automate.

FIRST COHORTS · WHERE THE NETWORK STARTS

Hungary: the controlled lab

Founder reach: 6M+ views, 15,000+ reached through courses, a living community.

→

English partner cohorts

Creators whose audiences share a life situation test transferability.

→

Manual introduction pilot

We introduce by hand first. Both sides rate it.

REFERRALS · PERSONAL VALUE BECOMES AN INVITATION

A result worth sharing

Your placement, nothing private.

→

An invitation

Share a card, or ask someone to understand you.

→

Each gets their own value

Before anyone is asked to give.

Mátyás leads partnerships; István supports content and partner conversations.

PROOF TO EARN

Activation · step-linked return · mutual value

Acquisition cost by source · no channel proven yet

Useful density

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LAUNCH · VALIDATION · TARGETS

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We count steps taken and people brought in.

Not opens. Month-12 targets after app launch are set to be confident, not extreme. Web and app cohorts stay separate.

01

WEB PLACEMENT

Live Q4 2026 · first data Dec

→

02

APP LAUNCH

iOS + Android

HU / EN · Q4

→

03

COHORTS

HU base +

EN partners · Q1

→

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INTRODUCTION PILOT

Manual first

both sides rate it

→

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FREE / PAID BOUNDARY

From data

in 1.1

→

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EXPAND

With evidence

only

TARGETS · M12

Step done within 7 days ≥ 20% · step-linked 30-day return ≥ 15% · K ≥ 0.3

ALSO

Placement completion ≥ 50% · 1 in 4 invite someone · invite acceptance ≥ 25%

Pilot: both sides useful ≥ 50% · paying ≥ 2% of MAU with human features live · category D30 median ≈ 7%

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FOUNDER–MARKET FIT

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István Joós

The map came before the model.

Founder & CEO

21 years working with people and life journeys · 1,000+ individual life stories · Three Mountains first published in 2015 and refined for 11 years

2 books · 1,000+ long-form videos · 6M+ views · 15,000+ reached through courses

FOUNDER EVIDENCE

A pattern library, not content.

Observed human patterns, distilled into a map before the AI layer existed. Founder evidence, not product traction.

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HUMANIA · TEAM

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A senior team that took the seat.

Operations, technology and growth, full-time with the round. Senior-team equity: 15%, split among three, on vesting.

OPERATIONS

Andor Czinege

Former managing director

People, processes

and operating discipline.

​

Humania focus

Run the company

day to day.

TECHNOLOGY

Gábor Döbrei

Software architecture

Engineering leadership

Built Humania MVP for years.

​

Humania focus

Lead technology and

engineering execution.

GROWTH

Mátyás Záborszky

International marketing

Positioning, outreach

and partner development.

​

Humania focus

Run creator partnerships

and GTM experiments.

FOUNDER-LED

István Joós, Founder & CEO: product, strategy, steward of the map.

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HUMANIA · PRE-SEED ROUND

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Raising $1M Pre-Seed

An AI to lead people back to people, and help us understand each other.

Product: launch, relational loop, witness.

Team: five people, full-time.

Network: introduction pilot, first English cohorts.

START THE CONVERSATION

István Joós · Founder & CEO · istvan@humania.io

18 months · team of 5 · first web data Dec 2026

Month-12 targets: steps taken · people brought in · both-sided introduction value

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APPENDIX · PRODUCT STATUS

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What exists, what is being built—and what comes next.

Four product promises, with status made explicit. Version numbers are sequence, not dates.

EXISTS

Three Mountains

+ Humania 1.0 + Core

Three Mountains, published 2015.

​

Humania 1.0: 3,400+ registrations, a few hundred active, small recurring revenue (Aug 2026). No PMF.

​

Orientation Core: founder-built bilingual placement engine; local prototype, automated tests passing (Sept 2026).

BUILDING

App 1.0 + web placement

iOS + Android · HU + EN

​

Placement, one step at a time, follow-through, visible memory, one card with public share and named invitation.

​

First release target: Q4 2026.

PLANNED

The human layer

1.1 two-person picture · 1.2 witness · 1.3 English public launch after trademark clearance · 1.4 mentor · 1.5 friend · 1.6 dating · 2.0 mediation

​

Prerequisites: density, verification, safety.

→

→

NEXT PROOF

Repeat use tied to steps, both-sided introduction value, willingness to pay for the human layer.

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APPENDIX · TWO-PERSON MEDIATION · PLANNED 2.0

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Understand each other. Find a step forward.

Invite a partner, friend or colleague into a shared conversation.

YOUR PERSPECTIVE

You + your Sherpa

Explain what happened and what matters to you.

​

Choose what to share.

SHARED SPACE

Humania as mediator

Understand both perspectives.

​

Exchange approved messages.

​

Agree on a small next step.

THEIR PERSPECTIVE

Them + their Sherpa

They bring their own experience and needs.

​

They choose what to share.

↔

↔

SHARED VALUE

One Premium payer can sponsor the shared process.

Private stays private; messages are shared only with approval.

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APPENDIX · COMPETITIVE LANDSCAPE

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Each solves one job for one person.

None has a map of development. None is paid for humans. Funding precedents are historical, not validation.

OUR EDGE

​

A proprietary developmental map, follow-through, and a human layer a chatbot can't copy.

Product

Primary use

Funding precedent

General-purpose AI; free conversation

Established platform

AI journaling and personal reflection

$6M Seed · Jun 2025

Personal AI companion and daily support

$10M Seed · Feb 2025

AI relationship support for couples

YC Winter 2024

AI matchmaking for in-person dates

$9.2M Seed · Feb 2026

Selected historical rounds · Maia round amount not verified · Company / YC sources · Oct 2026

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APPENDIX · COMPANY

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Company, ownership and prior financing.

Current cap table 79.2% founder · 10.8% developer team · 10% pool. Target below after senior-team equity, before SAFE conversion and the round.

COMPANY

Humania Inc.

Delaware C-Corp · operating base in Budapest · founder-led, senior team of three

PRIOR FINANCING · IP

$55,871 external · SAFE financing

12 angels; SAFE terms in data room. Map licensed to Humania Inc.; Orientation Core company-owned.

70%

ISTVÁN JOÓS / FOUNDER

15%

SENIOR TEAM · THREE PEOPLE · VESTING

OPTION POOL

15%

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APPENDIX · TESTING THE THESIS

Three tests of the network thesis.

Founder insight is a starting hypothesis. Guidance quality, mutual value and network effects need evidence.

01 · FIRST-RELEASE TEST

Does the map help?

Compare stage-aware guidance

with a strong general assistant

using similar context

Measure steps, not recognition

02 · LATER-RELEASE TEST

Does connection help?

Both people rate the interaction

Do they choose to continue?

Track follow-through

Track negative experiences too

03 · NETWORK TEST

Does participation help?

Do more relevant participants

improve existing members' outcomes?

Control for cohort and selection

Retention and renewal too

→

→

NOT ENOUGH

Invitations are acquisition. Personal memory is not a network effect.

These are proposed validation directions, not experiments already run.

ORDER

Test 1 starts with the first release. Tests 2 and 3 need real human participation.

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