AI applications transforming biotech
From accelerating drug discovery to scaling biomanufacturing, we help biotech teams use AI to design, test, and refine therapeutic candidates and processes more efficiently.
AI is reshaping key workflows in biotech
AI is transforming how therapies are discovered, designed, and optimized in both research and development. Organizations that successfully adopt AI are already seeing measurable advantages, such as shorter R&D cycles in specific stages, lower operational costs, and deeper biological insight.
AI applications transforming biotech
AI is enabling breakthroughs in key parts of the life-sciences pipeline, from early discovery to selected areas of manufacturing.
Drug discovery acceleration
AI can reduce early-stage discovery timelines by 40–60%, filtering millions of compounds before they reach the lab and improving hit rates in lead optimization.
Genomics & precision medicine
Deep learning models analyze genomic and transcriptomic data to identify variants, predict treatment response, and enable more precise patient stratification.
Biomanufacturing & process optimization
Predictive modeling and digital twins help optimize yields, reduce waste, and identify process deviations earlier, supporting more scalable and reproducible bioproduction.
Lab automation & robotics
AI-driven systems are augmenting manual lab workflows with automated image analysis, experiment monitoring, and multimodal data integration, moving labs toward higher levels of autonomy and, in the long term, self-driving lab paradigms.
Proven AI wins in biotechnology
Real projects. Real results.
Why leaders choose Marvik
Proven track record
200+ production AI projects delivered across R&D, computational biology, and multimodal deep learning.
End-to-end execution
From data pipelines and model deployment to full workflow integration in discovery and biomanufacturing environments.
Scientific precision & responsible AI
Built with a focus on transparency, explainability, and alignment with emerging best practices and regulatory guidance in biomedical AI.
Trusted by leaders
Powered by NVIDIA, Oracle, and modern GPU infrastructure to support large-scale molecular and multi-omics workloads.