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Wellmatix

Category: AI in Biotech / Drug Discovery

An AI-powered SaaS platform that accelerates new materials and drug discovery by integrating patents, academic papers, and physics-based simulation data to propose optimal candidate materials in early development stages. Wellmatix was founded in 2024. The company is led by Aichi Shatiyabrata. Based in Busan, South Korea. Team size: N/A. Total funding raised: $35,600. Latest round: Startupbootcamp Singapore Accelerator. Key investors include Startupbootcamp Singapore, Busan Creative Economy Innovation Center, MIT DesignX.

Founded
2024
Headquarters
Busan, South Korea
Team size
N/A
Total funding
$35,600

Value proposition

Reduces material development timeline from 7 years to 1 year while significantly cutting R&D costs, using AI engines trained on patents, academic papers, and physics-based simulation data to propose candidate materials in early development stages.

Products and solutions

AI Materials Discovery Platform, Drug Discovery Platform, Deep Learning Material Behavior Prediction System, Physics-based Simulation Integration Module, Unified R&D Workflow Optimization System

Unique value

First-mover in Korea integrating patents, academic papers, and physics-based simulation data into a unified AI engine for materials discovery. Combines reinforcement learning (RL) and graph neural networks (GNN) to predict material behaviors in real-time with high accuracy.

Target customer

R&D departments in materials science companies, semiconductor manufacturers, battery developers, water treatment companies, pharmaceutical firms, and packaging material producers

Industries served

Carbon Capture, Battery & Energy Storage, Semiconductors, Water Treatment, Pharmaceuticals, Packaging Materials

Technology advantage

Proprietary AI framework that seamlessly connects formulation, characterization, and scale-up processes in a unified workflow. Demonstrated ability to reduce carbon capture material development from 7 years to 1 year in PoC, achieving 7x acceleration compared to traditional trial-and-error approaches.

How they differentiate

First-mover in Korea integrating patents, academic papers, and physics-based simulation data into unified AI engine. Combines reinforcement learning (RL) and graph neural networks (GNN) for real-time material behavior prediction. Demonstrated 7x acceleration in development timeline (7 years to 1 year) in carbon capture PoC. Focuses on both materials discovery and drug discovery platforms.

Main competitors

Citrine Informatics, Schrödinger, Polymerize

Key partnerships

SilTest (Germany) - MOU signed for semiconductor materials development, Finnish water treatment company - Active PoC collaboration, French flexible electronics material company - Contract signed, Startupbootcamp Singapore - Strategic investor with 8% equity in Singapore subsidiary, Busan Creative Economy Innovation Center - Incubation support, Global Startup School - Founding support program, Panasonic - IP collaboration through IPHatch program

Notable customers

SilTest (Germany) - Semiconductor company, Finnish water treatment company (PoC ongoing), French flexible electronics material company, Panasonic (through IPHatch program)

Major milestones

Won 2nd place at MIT DesignX program (30,000 AED prize, 2025), Raised €25,000 investment from Startupbootcamp Singapore for 8% equity in Singapore subsidiary (Feb 2026), Established Singapore subsidiary (2026), Selected for IPHatch program for Panasonic patent collaboration, Secured MOU with German semiconductor company SilTest, Demonstrated carbon capture material development PoC with 7x acceleration, Selected for EriCa Reactor program cohort

Growth metrics

Established Singapore subsidiary in 2026; Completed PoCs demonstrating 7x reduction in material development time; Active partnerships with 4+ international companies across Europe

Market positioning

Early-stage AI materials discovery startup with regional advantage in Korean market, expanding globally through strategic partnerships in Europe and Asia-Pacific. Positioned as comprehensive SaaS platform serving R&D departments across multiple industries.

Geographic focus

South Korea (Busan headquarters), Singapore (subsidiary), with active partnerships and PoCs in Germany, Finland, France, and expanding to Middle East and broader European markets

Patents and IP

Selected for IPHatch program for Panasonic patent collaboration, indicating access to established IP portfolio. No independently registered patents disclosed as of latest update.

About Aichi Shatiyabrata

Indian-born entrepreneur who obtained Korean citizenship in 2025. Founded AI-based new material design company after receiving support from Global Startup School and Busan Creative Economy Innovation Center. Has experience applying AI research to industrial applications, specifically focusing on reducing time and costs in material development from 7 years to 1 year.

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