The brief

Analyst view

• Looks for single genes that reverse cellular aging as well as the Yamanaka factors, without the cancer risk of pluripotency.
• SB000, found by a machine-learning screen of 1,500 genes, rejuvenated three cell types in a 2025 preprint.
• $16M seed in October 2024 led by BGF; $18M raised in total.

Technical approach

As reported

Aging clock

A fast readout of cell age

A transcriptomic clock (AC3), trained on donors aged 1 to 87, scores how old a cell's gene activity looks, so thousands of gene tweaks can be ranked quickly.

AI-guided screen

Models predict, the lab tests

Generative AI models predict which genes should make a cell look younger; the lab switches them on, measures the clock, and feeds results back into the model.

Safety filter

Young again, but same cell type

Hits must keep cell identity and show no stem-cell (pluripotency) markers, the property that makes Yamanaka-factor reprogramming risky.