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Build Your Pharma AI Capability — Not Vendor Dependency

 

 From Forecasting and Launch Analytics to GenAI-powered insight generation, we build custom AI solutions that live within your firewall, run on your existing tech investments, and give you 100% IP ownership— making your organization truly AI-ready.

 Enterprise Reality

 

Pharma doesn’t lack AI pilots. It lacks AI that becomes part of the enterprise.

Most organizations today have:

Capabilities built

Capabilities built in isolation or delivered through vendor tools.  

GenAI pilots that never scale

GenAI pilots that never scale 

Each piece may work. Together, they don’t

The next phase of AI in pharma isn’t about adding more tools. It’s about making AI a native decision capability across the enterprise.  

 The MathCo Way

 

AI as an Operating System for Pharma — Not Another Layer in the Stack

MathCo doesn’t just add AI to your business. We change how your business thinks.

Most companies layer AI on top of how they already operate. We embed intelligence into how your teams decide and act — within your existing systems, not replacing them

We help Pharma businesses turn dormant data into decisions, so your teams make faster, smarter decisions with AI as their partner

Pharma Landing page_MathCo difference flowchart
Context-Driven Intelligence

Context-Driven Intelligence

Agentic AI Architecture

Agentic Al Architecture

Stack Compatible

Stack-Compatible Transformation

Outcome First Engineering

Outcome-First Engineering

 A Different Way to Build AI

A different way to build AI

Our goal is simple

To help organizations become progressively more AI-capable — building the internal strength, systems, and confidence needed to scale intelligence sustainably across the enterprise.

 

Use Case Impact

Forecasting Analytics

Forecasting Analytics

MathCo’s forecasting ecosystem combines predictive analytics with GenAI to transform fragmented assumptions into adaptive, enterprise-scale forecasts

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Launch Analytics

Launch Analytics

MathCo’s Launch Intelligence Center brings together people, processes, and technology into an integrated capability that continuously monitors, analyzes, and responds to evolving launch dynamics

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Field Force Assistant

Field Force Assistant

60% reduction in administrative preparation time and a 30% increase in HCP engagement quality scores enabled field teams to focus on high-value, personalized interactions instead of manual tasks. Improved rep preparedness and timely, insight-driven follow-ups further accelerated drug adoption cycles and strengthened overall commercial momentum

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Market Mix Model

MMM

MathCo’s risk scoring model delivered a 20–25 percent increase in patient retention by enabling targeted, data-driven engagement for high-risk patients, while improving overall PSP effectiveness through personalized intervention strategies

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Patient Insights

Patient Insights
By implementing a unified lift measurement framework, MathCo drove a 20 percent increase in promotional ROI and improved campaign targeting efficiency by 18 percent through precise attribution of sales impact. Leadership gained clear, data-backed direction on which promotional levers delivered measurable uptake
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SystemicAI

When You’re Ready to Scale — This Becomes Systemic AI

As more use cases go live, intelligence starts to connect:

Forecasting informs supply and launch strategy 
Patient trends inform access decisions 
Field performance loops back into commercial planning 

AI evolves from isolated tools into a decision fabric across the enterprise. 

That’s what we mean by AI as an Operating Capability.

Meet Our Experts

Take the next steps towards excellence with our leaders

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Anuj Krishna

Anuj Krishna

Cofounder and President – Technology & Growth

Anuj Krishna brings close to 20 years of experience helping global pharma enterprises harness the power of data. As a Cofounder and President of Technology & Growth, he has led transformative initiatives across analytics, data science, engineering and enabling organizations across industries to unlock the full potential of their data and drive sustainable growth.
Ashwin Gopalakrishnan

Ashwin Gopalakrishnan

Head of GenAI

Ashwin Gopalakrishnan brings over 15 years of experience in pharmaceutical consulting and industry leadership. He established MathCo’s Pharma practice and now heads the GenAI practice, driving cutting-edge AI solutions across 30+ Fortune 500 companies, including several of the world’s Top 10 pharma organizations.
Snehamoy Mukherjee

Snehamoy Mukherjee

Practice Head – Pharma & Healthcare

Snehamoy Mukherjee with over 20 years of experience in pharma, is a Partner at MathCo, leading Delivery and capability building for the Pharma & Healthcare practice. A pioneer in India’s analytics industry, he has played a key role in building pharma-focused teams and solutions from the ground up. Snehamoy is also a passionate educator and a recognized thought leader in the AI and ML space.
William D’Souza

William D’Souza

Portfolio Head – Pharma Consulting

William D’Souza brings deep expertise of nearly 15 years in Brand Analytics, Sales Analytics, and Commercial Operations. With experience across key therapeutic areas including Oncology, Immunology, Cardiovascular Diseases, and Obesity, he currently leads MathCo’s portfolio of pharma consulting engagements across the East Coast.

We’d love to share the power of MathCo Capabilities

 

In 20 minutes, our expert will take you through a short company introduction, offering insight into our thinking. Followed by the Capability walkthrough