The life science sector places vast bets on the wrong molecules

  • pharma: 62% of new drugs don’t work
  • livestock: productive livestock are not resilient
  • agritech: crops cannot survive climate change
  • micro-organisms: inefficient industrial processes

Our mission is to predict the cross-scale consequences of molecular changes with quantifiable accuracy

Benchmarks:

  • predict GWAS results - a pure, in silico to in vivo test of performance
  • predict trial results - the acid real world test of value

To make a billion dollars, you only need one good hit

The Multiscale Labs approach

flowchart LR
  H[Human<br>tissues] --- D[High-value<br>cross-scale<br>data]
  BF[Biology<br>first] --- C
  CI[Causal<br>evidence] --- C[AI<br>architecture:<br>thinking in the<br>language of biology]
  S[Focused<br>curation] --- D
  C --- MSL
  D --- MSL["
  <img src='../../img/logo/logo.png' width='200px'/>
  <br/><i>Accurately predict<br>study results</i>
  "]
  MSL --- Drug[New drug targets,<br>New compounds]
  MSL --- Other[Livestock,<br>crops,<br>micro-organisms]
  MSL --- Rep[Repurposing<br>candidates]

  classDef largeText font-size:22px;
  classDef coreNode font-size:24px, stroke:#178582, stroke-width:1px, rx:5, ry:5, color:#178582, font-weight:600;
  class H,D,BF,CI,S,C,Rep,Drug,Other largeText;
  class MSL coreNode;

A Bio x AI team with deep and end-to-end expertise

Kenneth Baillie
Chief Executive Officer

Computational Biologist
ICU Consultant

Jonathan Millar
Chief Product Officer

Computational Biologist
ICU Consultant

Konrad Rawlik
Chief Technical Officer

Mathematician
Quantitative Geneticist

Mirella Lapata
SVP, Generative AI

Generative AI Pioneer
NLP expert