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Accelerate Drug Discovery with Scalable, AI-Ready Data Architecture

Why You Should Care

BMS is leading the charge in transforming pharmaceutical R&D, aiming to outpace disease through faster insights and smarter manufacturing. But sustaining that leadership demands more than vision—it requires a next-generation data backbone. With stakes this high, companies like BMS trust WinterCorp to deliver cloud-scale performance, AI-readiness, and operational resilience.

Building the Engine Behind “Speed to Cure”

BMS’s shift to a unified cloud data lake shows a bold commitment to breaking down silos and supercharging analytics. Realizing the full potential of this platform—from faster ingestion and sales operations, to generative AI for drug discovery—means optimizing architecture, governance, and cost. WinterCorp specializes in making these transformations real: streamlining data flows, boosting query performance, and unlocking the full value of cloud-native ecosystems.

Three Modular Pillars:

Data Strategy Architecture

Align technology with business imperatives to maximize R&D velocity.

WinterCorp helps pharma leaders design future-proof data environments that scale with growing volumes of genomics and clinical data, ensuring platforms are architected for agility, compliance, and insight.

Advanced Analytics Enablement

Standardize and accelerate insight generation across global operations.

From Seeq integration to AI model readiness, we enable faster cycle times and sharper upstream monitoring by embedding analytics into the core of your data platform.

Engineering-Led Cost Optimization

Improve performance while controlling cloud spend.

WinterCorp helps manage cloud workloads to deliver speed where it matters most—in research queries and manufacturing analytics—without overprovisioning, supporting both innovation and fiscal discipline.

Solve Bristol Myers Squibb’s unique data puzzle with WinterCorp.

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We work with all data platforms, including but not limited to:
Actian Avalanche, Amazon Redshift, ClickHouse, Cloudera, Databricks, Dremio, Druid, Exasol, Firebolt Cloud Data Warehouse, Google AlloyDB, Google BigQuery, Greenplum, Hitachi Vantara, IBM DB2, IBM Netezza, Iceberg, Kafka, Microsoft Fabric, MotherDuck, DuckDB, MySQL Heatwave, OpenText Vertica, Oracle Database, RightData, RocksDB, Snowflake, SQream, Starburst, StarRocks, Teradata, Trino, Yellowbrick.

Let’s Explore What’s Next

Join us for a discovery session focused on scaling BMS’s cloud data success into AI-driven breakthroughs. Let’s talk architecture, insight velocity, and cost control—tailored to your roadmap.