Drug Discovery, Rewired

Map the circuit.
Find the cure.

AI that discovers drug targets by analyzing how neural circuits respond to interventions. Not genes. Not single cells. The actual brain networks that drugs need to fix.

Upload Dataset → Free analysis • CSV or JSON

Drugs fail because we test molecules, not circuits.

90% of neurological drugs fail in clinical trials. The reason is straightforward: current AI platforms analyze genes or cell morphology in isolation. But neurological diseases are circuit-level problems. Pain, addiction, Alzheimer's, they all involve dysfunctional neural networks, not just broken molecules. CircuitRx works at the layer that actually matters.

Three layers deep

From raw neural recordings to actionable drug targets.

01

Circuit Mapping

Upload neural recording data from any modality: calcium imaging, electrophysiology, multi-electrode arrays. AI reconstructs functional circuit architecture automatically.

02

Intervention Analysis

Model how compounds affect circuit dynamics. Predict which nodes in the network are most sensitive to pharmacological intervention. Identify the exact synaptic targets.

03

Target Reports

Generate regulatory-ready analysis linking circuit vulnerabilities to specific drug targets. Compare against published circuit databases and clinical outcome data.

The missing layer in drug discovery

Platform Data Layer Circuit Analysis
Verge Genomics Genomic ✗
Recursion Cell Morphology ✗
Insitro Cell Models ✗
Insilico Medicine Molecular Structure ✗
CircuitRx Neural Circuits ✓

The brain is a network.
Treat it like one.

Built by computational neuroscientists who mapped pain-suppression circuits at MIT. CircuitRx brings circuit-level intelligence to the drug discovery process for the first time.

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