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Xellar Biosystems

Xellarbio integrates machine learning and AI with large-scale wet-lab experiments to address complexity in drug discovery. The company utilizes pharma-scale organ-on-a-chip technology combined with image-based AI for pre-clinical testing. This approach aims to accelerate the development pipeline by better modeling human biology.

Traction 10/10
Boston, United States · HQ
Founded 2022303K+ followers
  • Drug Discovery & Therapeutics
  • Hardware
  • Artificial Intelligence
  • Data & Analytics
  • Biotechnology
Updated 3 days ago

Funding

Raised to date

$117.3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 5 rounds

LCTITGYCZF+1

$50M · Series A

Announced Jul 2026 · from article date

Disclosed cumulative: $117.3M

5/5

Founders

3 founders

Xin Xie

Co-Founder & CEO

Cambridge, United States

Since 2022 · 4 yrs

  • Harvard
  • MIT

TransMedics, Inc. • Senior Biomedical/Systems Engineer · PhD EE/ME/BME at Northeastern University

XuHai Huang

Senior Engineer

Hermione He

Cofounder Strategy & Investor Relations

Xellar Biosystems • Cofounder Strategy & Investor Relations

Product

Problem

Traditional drug discovery methods rely on simplified models that fail to capture the complexity of human biology, leading to inaccurate preclinical data and hindering the development of effective therapeutics. These limitations result in increased costs and prolonged timelines for bringing new drugs to market.

Solution

Xellar Biosystems offers a pharma-scale organ-on-chip platform that replicates human biological systems for more accurate drug testing. By combining large-scale wet-lab experiments with image-based AI and machine learning, the platform provides a more holistic and interconnected representation of human biology. This approach enables researchers to generate preclinical data that better reflects human responses to drugs, accelerating the identification and development of promising therapeutic candidates. The platform integrates engineering, pre-clinical development, imaging, and computational modules to provide a comprehensive solution for drug discovery.

Target Audience

The primary customers are pharmaceutical companies and research institutions seeking to improve the accuracy and efficiency of their drug discovery process.

Features

  • Micro-organ matrix engineering to create realistic in-vitro models
  • Preclinical development platform for compound testing and validation
  • High-content imaging platform for detailed data acquisition
  • AI/ML system for data analysis and predictive modeling
  • Scalable platform suitable for pharma-scale drug discovery
  • Integration of wet-lab experiments with AI-driven computation
This profile is AI-generated and may contain inaccuracies.