WanderMoss

WanderMoss Human–AI collaboration

A more natural wayto work with AI.

We build AI applications and explore agents that could help people and teams think, create, and work with AI.

Discover WanderMoss
A company shaped by curiosity

Who we are

A young company
with a long-term question.

WanderMoss is a small technology company, founded in 2024 and registered in the United States. We have shipped two consumer apps, MoonNest and FantaLove, and since June 2026 we have been building Trail, a private prototype of an agent that works alongside a small team. Behind all of it is one question: how can people and AI work together more naturally and effectively?

More about the company
Founded
Team
people
Shipped
2 apps, 1 prototype
Stories told in MoonNest
+

What we’ve built

Real products,
in real hands.

Two apps people use every day, and one prototype we are learning from with a small group of teams.

  1. MoonNest

    Live on iPhone & iPad

    Personalized, illustrated bedtime stories, with narration in a parent’s own voice.

    120,000+ stories told since March 2025

    Visit MoonNest

  2. FantaLove

    Waitlist open

    Fictional AI companionship for adults, built around conversations that remember and grow.

    8,400 on the waitlist since May 2026 · first invitations autumn 2026

    Join the waitlist

  3. Trail

    Private prototype

    An agent that takes a goal, proposes a plan, and carries the routine parts through while the team stays in charge.

    Testing with 12 teams since June 2026

    About the prototype

What we’re exploring

From possibility
to practical capability.

We believe AI can become a working partner: one that understands a goal, takes part in thinking, and helps carry complex work through. Three directions follow from that belief.

A blue dotted surface and a fine-lined translucent surface converge into a shared path.
01 / Shared directionA study in collaboration

AI applications

Where we are today. Consumer apps that bring AI into everyday moments, from a child’s bedtime story to an open-ended conversation.

See MoonNest and FantaLove

Agents

An early exploration. How might AI move beyond answering prompts to taking on parts of a task, with people setting the direction? Trail is our first attempt.

Human–AI collaboration

The long-term question. Which ways of working together turn advanced capability into something individuals and teams can actually use?

Our approach

Explore widely.
Build thoughtfully.

  1. Start with the goal.

    We begin with what someone is trying to achieve, not with what a model can do.

  2. Keep people in charge.

    AI should extend a person’s judgment and intent, never quietly replace them.

  3. Build, then learn.

    We ship real products, put them in people’s hands, and let use shape what comes next.

Notes

Working notes
from the studio.

Short, specific write-ups of what we are learning while building.

All notes

  1. Why Trail is boring on purpose

    We cut autonomy before we added it. What twelve teams told us about trust.

  2. What 100,000 bedtime stories taught us about voice

    Children forgive a flat plot faster than a strange voice. Three product decisions that followed.

  3. Three questions before adding AI to anything

    The checklist we run on every feature, and the two features it killed.

Let’s talk

Good ideas start
with a conversation.

For partnerships, introductions from people in product, engineering and design, or conversations with investors and industry peers.

Ways to connect