Xilis

Xilis

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Private Company

Total funding raised: $73M

Overview

Founded in 2019 and based in Durham, North Carolina, Xilis is a private, platform-based company focused on revolutionizing oncology drug development. Its core innovation is the MOS Platform, an end-to-end system that automates the creation of patient-derived organoids and uses AI-powered analytics to predict drug efficacy. Xilis partners with biopharma companies and clinicians, providing a service-based model to inform drug discovery, clinical trial design, and patient stratification, positioning itself as a key enabler in the shift towards functional precision medicine.

Oncology

Technology Platform

The MOS (MicroOrganoSphere) Platform: an end-to-end system featuring automated organoid generation (MOSgen device), advanced functional assays, and AI-powered analytics to test drug efficacy on 3D patient-derived models that preserve tumor microenvironment.

Funding History

2
Total raised:$73M
Series A$70M
Seed$3M

Opportunities

The platform addresses the high failure rate in oncology drug development by providing more predictive preclinical models, offering immense value to biopharma partners.
It also captures growth in the precision medicine market by enabling functional testing to guide patient-specific therapy, complementing genomic approaches.

Risk Factors

Key risks include the need for robust clinical validation to prove correlation between platform results and patient outcomes, and intense competition in the growing organoid and patient-derived model services landscape.
Commercial success depends on convincing large pharmaceutical companies to adopt and integrate a new platform.

Competitive Landscape

Xilis competes in the rapidly evolving field of patient-derived models and organoid services. Competitors range from specialized startups (e.g., Crown Bioscience, Champions Oncology) to large CROs (e.g., Charles River Labs, Labcorp) developing similar offerings. Differentiation hinges on Xilis's automation (MOSgen), speed (4-day assay), and integrated AI analytics.