Databricks Lakehouse for Biopharma Commercial
How biopharma commercial teams unify CRM, claims, prescription and field data on a Databricks lakehouse for governed HCP/HCO insight and AI-driven engagement.
Accelerate Research, Clinical Development & Scale-Up With Governed Data And AI


Biotech companies often operate with lean teams, fast-changing programs and critical knowledge spread across literature, research systems, clinical sources and individual experts.
As programs move from discovery into clinical development and scale-up, disconnected data and manual research preparation create friction at exactly the point where speed matters most.
Kasmo Global brings research, clinical and operational context together through governed data, modern applications and AI built for expert review.
Build and modernize applications around research, development and clinical workflows without forcing teams into unnecessary platform complexity.
Connect scientific, experimental, clinical and operational data into governed foundations that can support analysis across the development lifecycle.
Use evidence-linked AI Agents for literature synthesis, bioinformatics analysis, trial planning and other research-intensive workflows.
Accelerate literature review, evidence synthesis, experiment preparation and bioinformatics analysis.
Connect scientific evidence and research data to support decisions as programs move toward clinical development.
Evaluate protocols, sites, investigators, enrollment potential and competing studies with evidence-backed recommendations.
Build the governed data and operational visibility needed as programs move toward manufacturing, supply and commercialization.
Kasmo designed a Databricks-native platform that brings ERP, supplier, inventory and plant data together for real-time visibility, demand forecasting, predictive quality and manufacturing intelligence.

Kasmo used Claude for Life Sciences to ground specialized Agents in Benchling and scientific sources for literature review, protocol drafting and bioinformatics work, with scientist review built into the workflow.

Kasmo combined trial, site, investigator and public data in Databricks, then applied human-reviewed AI Agents to rank candidates and show the evidence behind each recommendation.

Kasmo modernized a complex SQL Server and SSIS environment onto Databricks, using AI-assisted conversion, reconciliation and governed pipelines while preserving the business logic teams already relied on.

Kasmo designed a Databricks-native commercial intelligence solution that brings Veeva Vault CRM, claims, prescribing and payer data together for shared KPIs, HCP/HCO analysis and AI-assisted decision support.

Practical thinking on governed data, business context and agent engineering across commercial, clinical, quality and supply chain workflows
Commercial AI Copilot brings CRM activity, HCP/HCO context, territory signals, commercial data and approved content into one governed assistant for faster call planning, account prioritization and follow-up.
Clinical Trial Intelligence brings protocol, study, site, investigator, enrollment and public clinical data together to rank opportunities, surface risks and give study teams evidence behind every recommendation.
R&D Research Agent uses Claude Platform on AWS and connected scientific sources to synthesize literature, analyze research datasets and assemble citation-backed outputs for scientist review.
BrickPath helps teams migrate legacy EDW and ETL estates to a governed Databricks Lakehouse using automated discovery, dialect-aware code conversion, continuous reconciliation and wave-based migration.