At Bioptimus, we are pioneering the development of multi-scale foundation models for biology to help researchers and pharmaceutical teams accelerate drug discovery. By training our AI on protein sequences, DNA, and biopsy images, we are moving beyond fragmented approaches to model biology holistically—from molecules and cells up to tissues and patients. Our mission is to partner with you to compress drug development timelines from years to months and significantly improve the 90% clinical trial failure rate.

Building these massive, state-of-the-art models is an immense technical challenge. To ensure we deliver the most reliable and powerful AI tools to our customers, we utilize Neptune.ai as our essential experiment tracker. Because training foundation models requires extremely costly and complex experimentation, we rely on Neptune to seamlessly track intricate model dependencies, benchmark performance, and optimize our computational resources.

In this behind-the-scenes video, our team shares how this robust infrastructure directly benefits the tools we build for you. You'll learn:

• Why we are building holistic foundation models to help you better predict how different patients will react to treatments.
• How our partnership with Neptune ensures the absolute reliability of our data. By tracking an immense amount of metrics and hardware usage, we guarantee that the models we deploy for your research are thoroughly tested and optimized.
• How a lightning-fast experimentation workflow allows our researchers to debug and iterate in real-time.

Because Neptune gives us the peace of mind to completely trust our experiment results, we can move faster and safely scale our AI. This rapid iteration means we can continuously deliver better, more reliable models to empower your medical research and ultimately help you save lives.

Read the full written Neptune AI case study here: https://neptune.ai/customers/bioptimus

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