- Updated: March 30, 2026
- 2 min read
Mantis Biotech Leverages AI‑Powered Digital Twins and Synthetic Data to Transform Biotech Innovation
Mantis Biotech Introduces AI‑Driven Human Digital Twins
In a bold move to tackle the chronic shortage of high‑quality biomedical data, Mantis Biotech has unveiled a platform that creates synthetic datasets and digital twins of human physiology. By marrying large‑language‑model (LLM)‑based data synthesis with a physics‑engine simulation, the company can generate realistic, privacy‑preserving patient models that accelerate drug discovery, rare‑disease research, and sports‑performance analytics.
The solution addresses a key bottleneck for pharmaceutical companies: the need for large, diverse, and ethically sourced clinical data. Mantis’ digital twins can be queried for virtual trials, enabling researchers to explore treatment outcomes without exposing real patients to experimental risks.
Beyond pharma, the platform is being piloted in elite sports to model athlete biomechanics and predict injury risk, and in preventative healthcare to simulate disease progression for personalized interventions.
Funding and Growth Outlook
To fuel its rapid development, Mantis Biotech secured a $7.4 million seed round from a mix of venture capital firms and strategic biotech investors. The funding will support scaling of the simulation engine, expanding the synthetic data library, and hiring additional AI and domain experts.
Company CEO Dr. Lina Patel emphasized that the technology is designed to be an open‑source‑compatible layer, allowing partners to integrate the digital‑twin API into existing research pipelines.
Why It Matters for the Industry
By providing a cost‑effective, ethically sound alternative to traditional patient data, Mantis Biotech’s platform could reshape the biotech landscape, shortening development timelines and reducing reliance on costly, time‑intensive clinical trials.
Read the original story on TechCrunch for more details.
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