Advanced data engineering and solutions architecture for translational science.
We build the infrastructure for biotech startups and research institutions to manage high-dimensional data, accelerating the path from target identification to clinical trials.
Computation leads discovery.
Target identification and molecule screening are computational problems before they are wet-lab problems. The bottleneck has shifted from generating data to structuring and analyzing it.
Scalable research foundations.
Biotechs often outgrow their initial data architecture. We build scalable environments that support heavy computational workloads and transition smoothly into regulated clinical phases.
Target discovery and screening.
We deploy systems to process sequencing data, analyze molecular structures, and manage laboratory information. The architecture organizes the discovery workflow so researchers focus on biology, not data wrangling.
Three ways Talbot West works inside Biotech & Translational.
Modernization strategy
Decide where to invest, what to prioritize, what should happen first, and what evidence should change the plan.
Explore service ↗02Data engineering
Make data quality, ownership, lineage, and availability explicit before decisions or operating systems depend on them.
Explore service ↗03AI engineering
Use AI where it earns its place, from commodity capabilities and orchestration to proprietary engineering where organization-specific value justifies it.
Explore service ↗Put this sector view to work
Find out where you stand and what you can do about it.