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.
Kasmo Global connects commercial, clinical, quality & supply chain data into trusted context to power AI Agents
Commercial, clinical, quality and supply chain teams depend on data spread across specialized systems. Kasmo connects the data, entities, metrics and evidence behind those workflows so AI Agents can take on more analysis and preparation without losing traceability or control.

Less manual context-building. Faster workflows. More consistent AI output.
Veeva-fluent, SOP-driven design across commercial, clinical, quality, manufacturing and supply chain.

Engineer, evaluate & monitor agents that reason, retrieve & use approved tools within defined controls.

Unify Life Sciences data in Databricks and govern the entities, metrics, evidence and access agents rely on.

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.

Kasmo applies the same governed data foundation to different Life Sciences functions, with each agent designed to measurably accelerate the work that team already performs
Connect literature, experimental and study data to support synthesis and experiment planning.
Bring CRM, prescribing, claims and payer data together for account, territory and brand analysis.
Bring protocol, trial, site and investigator information together before study-planning decisions.
Bring SOPs, submissions, deviations and quality records into controlled review workflows.
Connect ERP, MES, quality, inventory and partner data for planning and exception management.
of Life Sciences workflowscontain tasks that could be augmented or automated by AI Agents.
of Life Sciences leadersreport successfully scaling AI.
of enterprise capacitycould potentially be released at the task level through agentic AI.
of Life Sciences leaders report significant returnsfrom current AI investments.
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
An invitation-only dinner at Le Bernardin Privé on Nov 11, 2026 for life sciences commercial, clinical and data leaders.
Kasmo Global at Moscone Center in San Francisco, connecting with data and AI leaders across life sciences.
A day at the Javits Center in New York on agentic AI across discovery, development and commercialization.