AI agent-powered OoC

From human-heavy workflows to fully AI-driven autonomous experimentation. The system rapidly builds a scalable pipeline for a wide range of organ-on-chip applications, supporting continuous feedback and real-time adjustments from preclinical research through to clinical translation. It accelerates decision-making and improves the precision of therapeutic development.
No need to prepare your own laboratory
No need to prepare your own laboratory
No need to prepare your own laboratory
One-stop service
One-stop service
access a wide range of products through a single provider, saving time and effort.
Accelerate the R&D process
Accelerate the R&D process
research and development efforts to reduce time-to-market

How we can help

Design House
Build automated organ-on-chip pipelines with large language models. Design House provides AI modules that drive every stage of experimentation, from protocol generation to real-time monitoring and data analysis. Continuously enriched by internal and external datasets, the system evolves with each use, ensuring that every experiment reflects the most current and relevant scientific knowledge.
Design House
Organ Modeling
Standardized workflows enable the construction of complex, multi-tissue models that replicate organ-level functions. The system supports large-scale testing and provides insights into drug Mechanism of Action (MOA).
Organ Modeling
Decision Making
Support faster and more confident decisions. By analyzing dynamic biological responses across physiologically relevant models, our platform empowers critical decision-making in:

• Drug screening and selection
• Preclinical toxicity prediction
• Efficacy testing of approved drugs
Decision Making

Scalable End-to-End Solution

Drive clinical impact

Accelerate Market Expansion

We help you validate the real-world efficacy of approved drugs,
building physician confidence, supporting clinical use, and accelerating market success.

Drive clinical impact

Explore More

Human Organ Modeling
Human Organ Modeling

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