Applied technology lab
Carbon Based is an applied research lab. We put the two great breakthroughs of our age — machine intelligence and robotics — to work expanding, improving, and augmenting human health.
What we do
Large language models for the reasoning and inference so much depends on — and for experimentation both synthetic and real. Multimodal models we fine-tune and run alongside our sensors. And the hardware itself — sensors and robotics — put to work with the other two. Everything we build to preserve, improve, and extend life is composed from these three.
Three pillars
Pillar 01 · Inference
Large language models for the reasoning and inference so much depends on — and for experimentation both synthetic and real.
Pillar 02 · Multimodality
Vision, sound and signal — fine-tuned and fused into a single understanding of a body and a scene.
Pillar 03 · Hardware
Sensors gather and robotics acts — and every observation flows back to sharpen the models. The loop closes.
In the lab
Project 01 · Applied AI
A fine-tuned model that synthesizes human skin and predicts how it reacts with compounds — so a formulation can be tested in silico long before it is ever mixed.
$ simulate --pair "GHK-Cu + retinaldehyde" --layer epidermis
binding affinity0.82
penetration depth118 µm
irritation index0.14 LOW
predicted synergy+23%
degradation · 24h6.1%
status: stable · confidence 0.91
$
Project 02 · OmniVision
Vision- and inference-powered AI that looks after the elderly at home or in care — posture, falls, presence, intruders, recognition — from cameras alone, processed on-device.
Project 03 · OmniRobotica
A collaborative robotic arm with swappable sensor heads — ultra-precise, non-invasive health monitoring, hands-free. Work in progress, early-stage research.
Why we exist
Inference, multimodality, and hardware are how we get there.