Company · Private
Shift Bioscience
Uses virtual cell models to search for reprogramming factor sets that rejuvenate cells without erasing identity.
EvidenceEarlyNovel factor sets reported
Listing
Private
Ticker
—
Headquarters
Cambridge, UK
Founded
2017
Technology
Computational reprogramming discovery
Category
Market cap
Private
Longevity thesis
Machine-learned cell models can explore reprogramming factor space far faster than wet-lab screening.
Pipeline
| Programme | Stage | Focus |
|---|---|---|
| Virtual cell platform | Discovery | Novel factor sets |
Recent developments
- 12 Jul 2026Reported non-Yamanaka factor sets that reduce transcriptomic age in vitro.
Scientific evidence
EvidenceEarly
In vitro only, with model-derived predictions.
LONGEFI analysis
Sits at the intersection of AI discovery and reprogramming — the pairing where LONGEFI expects the most surprising results over the next three years.
Analysis is research commentary. It is not investment advice or a recommendation.