Understeer or oversteer
The system reacts to a thin signal and misses what people are experiencing.
FaberSense
Building the future of AI sensing for deeply personal context.
When AI can understand more of the real world, people can make better choices within it.
Founded by Laura Onu, former product leader for AI AR wearables at Meta Reality Labs.
The idea
AI needs context, not just answers.
FaberSense explores how cameras, novel sensors, and human expertise can make the situation clearer—so the next action is more useful and more personal.
Sense
Notice what matters in a person, place, or physical system.
Understand
Turn signals into context that fits the real situation.
Support
Help people and professionals choose and act with confidence.
Explore together
Several real-world directions. One standard: make context useful.
Personal expertise and care
Tools that help people understand an option in their own body, home, or everyday life—alongside the judgement of the professional who knows the work.
Places, landscapes, and the built world
Computer vision and sensing that can help planners, owners, and field experts see conditions, compare choices, and make a plan with more of the relevant context in view.
Physical systems and operations
Context-aware AI for equipment and environments, where a model can recommend a better action when it knows what is actually happening in the physical world.
Have a real problem in mind? I am looking for practitioners, operators, designers, and teams who want to investigate a focused prototype—not a generic sales conversation.
A small demonstration
The same AI can make a better decision when it can sense the room.
An interactive HVAC example shows the difference between reacting to a thermostat and responding to the conditions that shape comfort.
More optimal control
The system can respond to the conditions that matter, with a human able to guide it.
Why FaberSense
Built from the edge of AI and the physical world.
Laura Onu spent five years bringing AI camera, computer vision, and spatial AI to millions of people at Meta Reality Labs. Across Meta, Microsoft, Expedia, and LivePerson, she has 20 years of 0-to-1 product leadership and seven patents in spatial AI, computer vision, and intent analysis.
What is FaberSense building?
FaberSense is early and deliberately exploring several directions. No single public first product has been announced.
Who should reach out?
Practitioners, operators, designers, and teams with a real workflow where better sensing or context could make a meaningful difference.
How will personal data be handled?
Personal images and sensing should be used only with permission and for a clearly agreed purpose. The goal is clarity about what is captured, why it is needed, and what happens next.
Work with FaberSense
Bring the real-world problem.
If there is something people need to see, choose, or do more clearly, let’s explore what better sensing could make possible.