You had to learn to use a computer. What if it learned to be you?
Introducing Sonder Labs, an applied AI lab building your digital twin.
Today, we’re excited to share that a16z
@speedrun is backing us.
Our work starts with vision models small enough to live privately on your laptop - always on, seeing what you see. The more your twin learns about your workflows, priorities, and relationships, the less you have to explain.
And when it sees a way to help, it prompts you before you prompt it.
Ajit and I met deploying some of healthcare’s earliest LLM systems at Anterior. Working alongside nurses, we saw early what the rest of knowledge work is now confronting. There’s already more intelligence than we know how to use. We’re the bottleneck.
The tools we use capture what we produce, but lose much of what makes it ours: the iterations and rejected options behind the final result, the taste that defines what good looks like, and the intent behind our decisions. And the work doesn’t stay still. Priorities shift, workflows evolve, and exceptions become routine.
Your world can’t be described once. It has to be learned continuously.
Generic models are powerful, but they can pull work toward the average. We’re betting on AI that helps people become more themselves: sharper in taste, bolder in judgment, and more distinctive in how they work.
Thank you to
@JoshLu for believing in our bet on open-weight models way back when it wasn’t obvious, and to
@_CallMeMacy and
@fromevanwang for keeping our feet on the ground and getting us in front of the right people.
Oh, and we’re hiring! If you or someone you know is obsessed with on-device inference, teaching models how people work, or shaping how humans and AI work together, message us.