Life sciences success stories

Accelerating innovation

with data, AI, and modern platforms.

Explore how pharmaceutical, biotech, and emerging therapy companies are transforming their data and analytics landscape.

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Delivering measurable outcomes for complex business challenges.

Our work with Life sciences organizations focuses on building modern data foundations that support clinical research, regulatory compliance, and commercial excellence. These success stories demonstrate how our solutions enable faster insights, unified data ecosystems, and advanced analytics that help organizations bring therapies to patients more efficiently.

Success Stories

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O2 – Commercial Ops

Driving Commercial Analytics in the Pulmonary Arterial Hypertension Market

Developed a data pipeline to ingest all the datasets at one location in Databricks. (Facebook/Instagram Campaign, Speaker Programs, Veeva Activity, Email Marketing, etc)

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O2 – Commercial Ops

From FDA Delay to Launch Readiness: Enabling Product Launch with Data & AI.

Circulants team implemented cloud-based product ‘O2’ with “out of the box” Data Pipelines and Reports within 16 weeks delivering quick insights to profiling team.

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A2 - Analytics

Propensity Modeling and Patient Prediction in Osteoporosis Market

Created patient-level features: age, comorbidities, insurance type, therapy history & developed explainable (Random Forest, XGBoost) and deep (LSTM) models to predict initiation.

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A2 - Analytics

Marketing Mix and Spend Optimization for a Buy & Bill Drug

Built an internal budget optimization tool enabling brand teams to set budget and revenue targets and generate data-driven recommendations for optimal tactic-level spend.

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M2 - Intelligent Omnichannel

Channel Attribution & Optimization for the newly launched drugs in the rare disease market.

Our channel attribution model identified Salesforce as the dominant influence on engagement, with HCP website and paid search working in tandem to significantly enhance channel effectiveness.

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Partner with us to unlock the value of your data, enable AI-driven insights, and accelerate innovation in Life sciences.

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