AI for drug discovery

Enable your researchers with more accurate and generalizable predictive models. Increase efficiencies across every step of pharmaceutical research and development.

Access data across boundaries

Biotech and pharma companies need to access large volumes of high-quality data to transform drug discovery with AI at scale. Apheris enables organizations to access data that spans across geographical and organizational boundaries, while protecting the intellectual property rights of the data custodians.

Secure & private

Apheris' federated infrastructure ensures that data always stays where it resides and under the full control of the data custodian.


Pharma customers can leverage their existing model IP and preserve their model and data pipelines.


Apheris scales to very large computational workloads as required for advanced drug discovery AI pipelines, such as large language models (LLM), for example.


Apheris offers state-of-the art security, privacy and governance to ensure compliance across regulatory requirements.

AI in drug discovery

3D structure prediction

Re-train protein structure prediction models or other pretrained large language models (LLMs) on sensitive third-party data. Rapidly bring novel breakthrough medicines to patients by leveraging the latest advancement in foundational models such as AlphaFold-2, for example.

Build federated data networks

Start groundbreaking data collaborations with your suppliers and partners. Jointly learn from distributed, sensitive datasets among consortium partners while protecting IP and privacy.

Accelerate drug discovery pipeline

Gain an unbeatable competitive edge for your AI-powered drug discovery pipelines. Enhance your ML models with third-party sensitive data across all data modalities including multi-omics, molecular data, clinical trial data, for example.

Re-training models without moving data

Drug discovery

"We have unique AI models that work best if we fine-tune them to the data of our pharma customers. So far, it was almost impossible to access IP-sensitive data. Apheris has changed this so that we can now re-train our models while keeping the pharma data within their environments – this has been a paradigm shift for us."

CTO, Top-10 drug discovery AI scale-up

Ready to talk?

Find out how you can use Apheris to get computational access to sensitive data across boundaries.