Lightning.AI Platform Applications
From Biology to Targets to Drugs
From seeing and learning biology in action across millions of diseased cells, to discovering targets and then finding compounds that modulate those targets within their biological context, Lightning.AI is built to converge on what matters for effective drug discovery. Every step is grounded in real data - seen, understood, and actionable.
Target Discovery
PathwayLight Neural Network - The AI Inside the Biology
Trained on billions of PathwayLight images, this neural network compares healthy and diseased cells millions of times for every hypothesis.
It identifies dysregulation, recognizes pathways differences, and learns how to drive the discovery loop forward to identify disease-driving targets.
A Discovery Loop That Delivers Novel, Yet Druggable Targets
This isn’t biology for exploration’s sake.
The loop is built to deliver druggable targets - novel, mechanistically defined, and directly linked to disease biology.
Targets the system sees, understands, and enables you to act on.
Targets Along the Right Pathways
With deep biological proof.
Lightning.AI maps entire disease pathways and learns from this biology how to drug them - from upstream drivers to downstream effects.
Biology that makes any target druggable.
Target discovery with Lightning.AI is not exploratory - it’s purpose-built to deliver novel druggable, mechanistically defined targets rooted in disease biology. At the heart of this is the PathwayLight Neural Network - the AI inside the biology.
Trained on billions of intracellular pathway images, PathwayLight Neural Network recognizes difference between healthy and diseased states. It identifies pathway dysregulation, patterns, and continuously refines the entire discovery loop to discover what truly drives disease.
Our proprietary method of Visual Pathway Knockouts validates these insights by disrupting the pathways and directly observing biological consequences at scale. The effect is seen, not inferred - providing robust, causal pathway and target in full biological context.
Lightning.AI delivers targets that are not only novel and actionable but backed by biological proof every step of the way.
Drug Discovery
mRNA Biology Neural Network - From Target to Modulation
Trained on mRNA regulation across thousands of pathways, the second neural network explores each target’s mRNA biology. It identifies modulation strategy through splicing, RBPs, localization, degradation or translation.
Modulation by mechanism, not guesswork.
mRNA Biology Modulators
Once a modulation strategy is identified, Lightning.AI designs small molecule libraries that act through the specific mRNA biology of the target across all mRNA biology mechanism.
Once a target is identified and linked to disease biology, the mRNA Biology Neural Network takes over. Trained on mRNA regulation across thousands of pathways, it analyses and learns the target’s mRNA biology to determine the optimal modulation strategy through mechanisms like splicing, RNA-binding proteins (RBPs), localization, degradation, or translation.
Armed with this mechanistic insight, Lightning.AI generates a focused small molecule mRNA modulators library, specifically designed to modulate the target through mRNA biology. As compounds are screened, the system sees their impact directly on disease pathways in real cells. This enables not just hit discovery, but it’s confirming that compounds modulate the biology as intended and optimizing small molecule mRNA drug candidates based on real phenotypic outcomes.
This is drug discovery driven by the biology of disease, not trial and error.