Digital Transformation Partnership
Repligen scaled rapidly through organic growth and acquisition, and their technology stack reflected that history: disparate systems, manual integration points, and data workflows that had grown complex with the business. The challenge wasn't a single migration or product build. It was a sustained programme of technical modernisation in a highly regulated, operationally sensitive environment where system changes carry validation risk and require careful governance.
Document Intelligence: automated extraction of structured data from life sciences documentation at operational scale, using Azure Document Intelligence. Replacing manual document processing workflows that created operational bottlenecks.
Enterprise platform integration: connecting Repligen's core systems. SAP via OData for operational data, Snowflake as the analytical data warehouse, ServiceNow for IT service management and workflow orchestration, and Microsoft 365 and Teams for collaboration layer connectivity.
Cloud migration: progressive migration of legacy applications and data to cloud infrastructure, with operational continuity and compliance posture maintained throughout.
The engagement model — forward-deployed engineers with deep domain and operational context — reflects how s-team approaches complex, long-horizon technical programmes where continuity of knowledge is as valuable as technical capability.
We have been embedded in Repligen's engineering organisation for over five years. We understand GxP-adjacent environments.
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