LabGenius
Accelerating protein-based drug discovery through an autonomous, closed-loop robotic platform.
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.
Kallyope is a leading clinical-stage biotechnology company that leverages its proprietary Klarity™ platform to integrate single-cell sequencing, computational biology, and neural circuit mapping. By 2026, the platform has solidified its position as the premier AI-driven ecosystem for deciphering the gut-brain axis, a critical frontier for treating metabolic, gastrointestinal, and neurological disorders. Unlike traditional drug discovery platforms, Kallyope utilizes machine learning to identify specific gut-brain circuits and cell-type-specific targets that were previously inaccessible. The architecture combines high-resolution transcriptomics with functional circuit analysis, allowing researchers to predict how gut-derived signals influence systemic physiology. Positioned at the intersection of AI and biology, Kallyope provides a comprehensive map of the 'second brain,' enabling the development of small-molecule therapeutics that offer the efficacy of biologics with the convenience of oral administration. The platform's 2026 market position is defined by its deep pipeline of assets in obesity, Type 2 Diabetes, and CNS disorders, fueled by its ability to translate petabytes of multi-omic data into validated clinical candidates.
A multidimensional map of the gut-brain axis using viral tracing and single-cell RNA sequencing.
Accelerating protein-based drug discovery through an autonomous, closed-loop robotic platform.
Accelerating drug discovery through an end-to-end generative AI pipeline for target identification, molecular design, and clinical trial prediction.
Engineering biology at scale to discover and develop next-generation therapeutics.
Accelerating drug discovery through proteome-wide AI-driven polypharmacology.
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Proprietary pipelines for analyzing gene expression at the individual cell level within the enteric nervous system.
Machine learning models that rank potential drug targets based on therapeutic relevance and 'druggability' scores.
Integration of optogenetics and chemogenetics to confirm the physiological role of mapped circuits.
Automated systems for screening millions of compounds against gut-specific GPCRs and ion channels.
AI models trained on proprietary data to predict the absorption and safety of gut-targeted molecules.
Consolidation of microbiome, proteomic, and transcriptomic data into a unified predictive model.
Developing next-generation weight-loss drugs with fewer side effects than GLP-1 agonists.
Registry Updated:2/7/2026
Treating Irritable Bowel Syndrome (IBS) by targeting the source of visceral pain.
Targeting the gut-brain axis to slow the progression of Parkinson’s disease.