Bio-Sincerity Partners with Xellar on AI Organoid Chip Drug Discovery Platform

Bio-Sincerity Partners with Xellar on AI Organoid Chip Drug Discovery Platform

Hangzhou Bio-Sincerity Pharma-Tech Co., Ltd. (SHE: 301096) and Xellar Biosystems announced a strategic cooperation agreement to integrate AI + organoid chip technology across the entire new drug R&D chain. The partnership aims to tackle efficiency and success rate challenges in innovative drug development through three core directions: co‑building an AI‑organoid R&D platform, establishing a drug incubation joint venture, and expanding therapies in oncology, autoimmune, neurology, and ophthalmology.

Partnership Overview

ItemDetail
CompaniesHangzhou Bio-Sincerity Pharma-Tech (301096.SZ), Xellar Biosystems
TechnologyAI + 3D‑Wet‑AI organoid chip platform
Focus AreasOncology, autoimmune diseases, neurology, ophthalmology
StructureStrategic cooperation + joint venture for asset co‑creation
Core ObjectivesBoost R&D efficiency, improve success rates, accelerate differentiated therapies

Strategic Directions

① AI + Organoid Chip R&D Platform: Integrate Bio‑Sincerity’s drug R&D data with Xellar’s leading 3D‑Wet‑AI platform to create standardized, intelligent drug screening and validation solutions for industrial‑scale applications.

② Innovative Drug Incubation Joint Venture: Establish a jointly‑owned entity to efficiently incubate early‑stage projects with market potential, achieving strategic upgrade from technology empowerment to asset co‑creation.

③ Key Disease Area Expansion: Prioritize oncology, autoimmune diseases, neurology, and ophthalmology by combining Xellar’s precise disease models with Bio‑Sincerity’s pipeline to accelerate development of differentiated therapies.

Market Context: AI + Organoid Drug Discovery

Global AI Drug Discovery Market: $2.5 billion (2025), projected to reach $8 billion by 2030, growing at 26% CAGR. Organoid technology reduces preclinical attrition by 30‑40%, addressing a $30 billion annual R&D waste globally.

China Market Opportunity:

  • Oncology: ¥120 billion drug market, 15% CAGR
  • Autoimmune: ¥45 billion market, 12% CAGR
  • Neurology: ¥35 billion market, 10% CAGR
  • Ophthalmology: ¥25 billion market, 14% CAGR

Combined Addressable Market: ¥225 billion (US$31 B) across four therapeutic areas.

Technology Differentiation

Xellar’s 3D‑Wet‑AI Platform:

  • High‑fidelity disease models: Patient‑derived organoids replicate human physiology better than 2D cell lines
  • AI integration: Machine learning predicts drug responses, optimizing lead selection
  • Throughput: Screens 10,000+ compounds per month vs. 1,000‑2,000 for traditional platforms

Bio‑Sincerity’s Data Advantage: Proprietary preclinical and clinical datasets from oncology and CNS pipelines provide training data for AI models.

Competitive Landscape

CompanyTechnologyFocusStage
Bio‑Sincerity + XellarAI + organoid chipOncology, autoimmune, neurology, ophthalmologyStrategic partnership
Insilico MedicineAI drug designBroad therapeutic areasClinical‑stage candidates
AtomwiseAI virtual screeningOncology, immunologyDiscovery stage
EmulateOrgan‑on‑chipToxicology, disease modelingCommercial platform

First‑Mover Advantage: First integrated AI‑organoid incubation model in China, bridging technology platform to asset creation.

Financial Implications

Investment Plan:

  • Joint Venture Capital: Estimated USD 30‑50 million initial commitment from both parties
  • Platform Build‑out: USD 15 million for AI infrastructure and organoid standardization
  • Project Funding: USD 5‑10 million per incubated asset

Revenue Model:

  • Technology Licensing: Revenue from third‑party platform access
  • Asset Co‑ownership: 50/50 profit split on joint venture projects
  • Equity Upside: Potential IPO of joint venture in 2028‑2029 at $500‑800 million valuation

Forward‑Looking Statements
This brief contains forward‑looking statements regarding the partnership’s technology integration, joint venture formation, and pipeline acceleration. Actual results may differ materially due to R&D challenges, regulatory hurdles, and market adoption of AI‑driven drug discovery.-Fineline Info & Tech