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.
Connect Commercial, Clinical, R&D & Operations With Governed Data And AI


Pharmaceutical teams work across specialized systems, external data sources and highly controlled processes. Commercial teams need better HCP context, Clinical teams need faster trial visibility, R&D teams need trusted evidence, and operations teams need earlier signals around quality and supply.
Kasmo Global connects those workflows through modern applications, governed enterprise data and AI designed for human-reviewed decision support.
Implement and extend platforms such as Veeva across Commercial, Clinical and Development workflows, while building custom applications around operating requirements.
Unify CRM, clinical, research, quality, manufacturing and external data into governed foundations for analytics, applications and AI.
Deploy governed AI Agents for field planning, trial feasibility, scientific research and operational decision support, with evidence and human review built in.
HCP/HCO intelligence, account prioritization, next-best action, approved content and field planning.
Trial feasibility, site and investigator selection, enrollment planning and study oversight.
Literature synthesis, bioinformatics analysis, research preparation and evidence-linked reporting.
Quality visibility, demand forecasting, supply planning and earlier identification of operational risk.
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.