Company · positioning
Recursion PharmaceuticalsScale-up
Positioned in 7 collision spaces.
7Collision spaces
Artificial neural network×Computational biology
64.5Index
Deep learning applied to high-dimensional biological data for target and phenotype discovery.
Open collisionDeep learning×Computational biology
61.2Index
Deep learning on high-content biological imaging and maps of cellular phenotypes.
Open collisionFunction (biology)×Bioinformatics
48.7Index
Maps genetic/chemical perturbations to functional cellular phenotypes at industrial scale.
Open collisionBiophysics×Artificial intelligence
48.0Index
Runs high-throughput biophysical/imaging assays fed into large ML models for biology.
Open collisionKey (lock)×Computational biology
43.2Index
Runs large-scale biological image + ML pipelines where segmentation and interpretability of phenotypes drive decisions.
Open collisionComputational biology×Reinforcement learning
40.7Index
Runs large-scale phenotypic/experimental data loops well-suited to RL-style active experiment selection.
Open collisionEndoplasmic reticulum×Computational biology
40.0Index
High-throughput cell-biology plus computational modeling spanning proteostasis and neurodegeneration phenotypes.
Open collision