Build One Governed Data Layer to Power Analytics, AI Applications & Agents
Data fragmentation slows every downstream use case
Life Sciences data sits across Veeva, clinical systems, research platforms, ERP/MES and external sources. Different identifiers, structures & access rules force teams to reconcile data before analysis or AI can begin.
Engineer one governed data foundation from source to application
Kasmo Global builds cloud data pipelines on AWS and Databricks, applies Unity Catalog governance and publishes trusted data products for analytics, AI applications and Agents.
Data engineering, governance & AI applications on one production foundation
Kasmo Global builds the pipelines, controls and application layer required to move Life Sciences data from source systems into everyday analytical and AI use.
Data Unification
Build ingestion & transformation pipelines that bring data across functions into one governed foundation with shared business context for analytics and AI agents.
Data Governance
Use Databricks Unity Catalog to manage discovery, classification, lineage, data quality, permissions and policy enforcement across data and AI assets.
AI Apps & Agents
Build analytics and AI applications with Databricks, Sigma and Domo, then expose governed data to Agents through semantic layers, retrieval and APIs.
from source systems to governed data products & AI apps & Agents
Kasmo Global maps the sources, engineers the cloud data layer, standardizes business context and applies governance before publishing data for analytics and AI.
Map the Sources
Engineer Data Layer
Standardize Context
Apply Data Governance
Publish Data Products
Build Analytics & AI Apps
Bring CRM, claims, CTMS/EDC, research, ERP/MES and external feeds into curated data products that can serve multiple teams and workloads.
Resolve shared entities, certify definitions and enforce access policies so dashboards, applications and AI agents work from the same approved business context.
Deliver dashboards, conversational analytics and AI applications through Databricks, Sigma and Domo with traceable sources, approved metrics and controlled access.
