Lightning.AI leapfrogs computational AI systems and lab-in-a-loop solutions by implementing a full AI loop where Computational and Experimental AI agents iteratively work together - thinking, seeing and learning biology - to discover novel targets and drugs.
Two AIs. One Discovery Loop.
Not lab-in-a-loop. It's AI-in-the-loop.
Lightning.AI connects Computational and Experimental AI in a continuous feedback loop - each generating and refining insight.
Iterative discovery that learns, improves, and converges on what matters.
Computational AIHypotheses at Scale
Our Computational AI integrates multi-omics, literature, and customer data to generate thousands of mechanistic hypotheses per disease.
It prioritizes pathways likely to drive disease and frames the key questions for exploration.
Experimental AIVisualizing, Learning, Refining
Experimental AI doesn’t test - it sees. It visualizes each hypothesis across millions of healthy and diseased cells, revealing pathway behavior, functional phenotypes, and biological signals.
It learns from what it sees - and feeds that insight back into the loop.
PathwayLight™
From 1,000 Hypotheses to 1 Billion Experiments - Instantly
Thousands of hypotheses. Millions of patient-derived cells.
Every hypothesis explored in parallel - over a billion experiments in a single run.
Discovery at AI scale.
PathwayLight™ - Biology You Can See
PathwayLight™ visualizes how thousands of pathways behave inside real cells.
Not morphology. Not surface phenotype.
This is imaging at the level of biological function - pathways, not shapes.
Morphology is sign language. Pathways are the native language of biology.
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Transcription
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Splicing
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Alternative splicing
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Capping
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Polyadenylation
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Modification
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Nuclear Export
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Transport
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Localization
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Stability
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Decay
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Translation
PathwayLight Neural Network - The AI Inside the Biology
Trained on billions of images, this neural network compares healthy and diseased cells millions of times for every hypothesis.
It identifies dysregulation, recognizes phenotypes, and drives the discovery loop forward.
Visualizing the Full Complexity of Disease
Diseases live in systems, not single cells. Lightning.AI visualizes biology from tissue context to individual cells, adapting to each disease model.
Complexity, captured at the right resolution.
Target Discovery
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.
Validating Targets with Visual Pathway Knockouts
Target confidence matters.
Lightning.AI applies a proprietary method of Visual Pathway Knockouts - disrupting the target’s pathway and observing biological consequences at scale.
The effect is seen, not inferred - validating both pathway and target in full biological context.
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.
Drug Discovery
Chemistry That Targets the Target
Once a modulation strategy is identified, Lightning.AI generates a focused small molecule library designed to act through the specific biology of the target.
As compounds are screened, the neural network visualizes their effect on disease pathways in real cells - confirming impact and optimizing intervention.
Drugging the biology, not just the target.
A Proprietary Data Engine: The Visual Biology of Disease
Lightning.AI generates a new class of biological data: functional, spatial, and visual.
This data doesn’t exist in omics.
It becomes your exclusive, proprietary advantage.
Let’s Redefine What’s Possible
Not predicted. Not validated. Discovered.