A MORE HUMAN FUTURE

One day, a machine will share your home. Will it understand you?

Your routines. Your worries. When you need help, and when you need space.

That understanding has to come from somewhere. Hofund is building it.

How machines will learn to understand us ↓

Machines can see, hear, reason and act. They can’t yet read the moment.

A smile can mean happiness, embarrassment or fear. The expression alone doesn’t tell the story. What we feel is shaped by context, relationships and what’s changing in our lives.

Expression: smile

We’re building the understanding intelligent devices need to respond to the person and the moment.

We start where people need support most.

  1. 0111:48 PM

    An urge to gamble that could cost someone their rent.

  2. 021:12 AM

    A struggle with pornography they’ve never told anyone about.

  3. 032:00 AM

    A veteran awake at 2 a.m., frightened and alone.

  4. 047:05 AM

    Someone trying to understand why the same problems keep coming back.

We’re building VIG, Moment, Athena and Mirror for these moments. Each has one purpose: helping the person through what they’re facing. Useful technology starts with the person using it.

Available now

Moment

OWN THE MOMENTPrivate support for the moment when impulse takes over. → opens in a new tab
The Moment app on a phone, asking what you are feeling right now.
In development

vig

Know your number.

The House knows your number. We give you a way to see it.

In development

Athena

Support for veterans through the hardest nights, whenever they come.

In development

Mirror

Helps people see why the same problems keep coming back.

Helping people is how we learn.

Hofund is building the Human Response Model, or HRM, using first-party, permissioned observations from applications people use in their everyday lives.

Our applications capture something traditional digital systems rarely see together: what people say they are experiencing, what they intend to do, what they actually do, and what happens afterward. Those longitudinal observations provide the foundation for training HRM to learn patterns of human response and predict how behavior changes under different circumstances.

These observations form our Human Response Data Platform. HRM is our developing JEPA-based predictive intelligence.

DEPTH

Our own apps follow real experiences over time, through the moments that matter most.

TOGETHER

Models of human behavior, emotion and response.

We collect data under each app's privacy policy and the permissions people give. Privacy & data ↗

Understanding you can build on, today.

Our aggregated, de-identified data and our models are available to license now. Use them to build AI and devices that respond to people, not just their words or expressions.

As the volume, diversity, and quality of our observations grow, we intend to make HRM increasingly capable of helping digital devices understand and respond to the people using them.

Human Response Data Platform and HRM

Aggregated, de-identified behavioral data, and the models built from real experience over time, collected under each app's privacy policy and the permissions people give.

Research & insight

Research and decision support that help teams see patterns more clearly.

Tools & SDKs

Infrastructure to bring behavioral understanding into your products.

Request access →
WHAT WE’RE BUILDING TOWARD

HumanOS: how devices will come to understand people.

HRM is the intelligence we are developing. HumanOS is how we intend to bring that intelligence into the world.

Everything we build leads here. HumanOS will help digital devices understand people on a behavioral level: not just what we say or how we look, but what we mean, what we need, and when.

Whether it’s the robot in your home, the assistant in your car or the phone in your hand, it’s the understanding that will let technology respond to the person and the moment.

The people building it.

A team built across technology and commerce.

18 yearsLeading enterprise sales at FranklinCovey
4Companies founded by our CEO
WHERE WE COME FROM
AWS
Intel
Fabric
FranklinCovey
Sleeper
Founders

Randy Roth

Chief Executive Officer

Serial founder, multiple exits

James Sinclair

Chief Risk Officer

Multi-exit founder

Robert MacLeod

Chief Strategy Officer

AWS

Product and Engineering

David MacLeod

Enterprise Architect

Intel

Ashley Hartwell

Lead, Product

AWS / Fabric

Gaige Redd

Lead UX/UI Engineer

Fabric

Commercial Leadership

Christine Trost

Chief Revenue Officer

FranklinCovey

Connor McLaren

President, Hofund Apps

Jack Caporuscio

Head of Marketing

Sleeper

Progress begins with people.

Technology should help us understand more, choose more deliberately and create new possibilities. That belief guides everything we build: help for people today, deeper understanding over time, and a more human future.