We build and operate machine learning infrastructure for biotech companies — from genomics pipelines to production model deployment.
End-to-end data science and engineering for life sciences teams that need to move fast without breaking things.
Train, evaluate, and deploy custom ML models. Reproducible pipelines from genomics data ingestion through production model serving.
Deep expertise in bioinformatics and cheminformatics data processing, visualization, and analysis. Metagenomics to molecular property prediction.
Interactive dashboards to visualize, analyze, and share your data. Exploratory analysis and publication-quality visualizations.
Tailor-made solutions for your specific needs. From static sites to full-stack applications — development, deployment, and maintenance.
Applications powered by AI and large language models. RAG, fine-tuning, and custom agent workflows for scientific data.
Cloud infrastructure, CI/CD, containerization, and monitoring. Computational workloads running reliably at scale.
Scientists and engineers who've shipped software across drug discovery, genomics, and production ML.
Ph.D. from UW-Madison. Background in biochemistry and computational drug discovery.
Ph.D. from UW-Madison. Background in chemistry, bioinformatics, and computational drug discovery.
B.S. from Michigan State. Background in mathematics and computer science.
Have a genomics pipeline that needs ML? A dataset that needs a dashboard? We'd love to hear about it.