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Sun Pharma Scales Secure AI Across Global Pharmaceutical Operations with HridaAI

Overview​

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How Sun Pharma, one of the world's largest pharmaceutical companies, deployed a secure, self-hosted AI platform with HridaAI — empowering thousands of employees across research, regulatory, and commercial functions with AI tools that keep sensitive data fully within their own infrastructure.

At a Glance​

  • Users: 5,000+ employees across global functions
  • Region: Global (headquartered in Mumbai, India)
  • Industry: Pharmaceutical — Generic & Specialty Medicines
  • Deployment: Private cloud (on-premises data centers)
  • Models: Internal LLMs, Azure OpenAI, open-source models
  • Key Results: Faster regulatory document workflows, accelerated R&D literature review, improved cross-functional AI adoption

About Sun Pharma​

Sun Pharma (Sun Pharmaceutical Industries Ltd.) is one of the world's largest pharmaceutical companies and the largest in India. Headquartered in Mumbai, India, Sun Pharma serves patients in over 100 countries with a portfolio of generic and specialty medicines spanning dermatology, ophthalmology, cardiology, oncology, neurology, and diabetes. With more than 36,000 employees and over 40 manufacturing facilities globally, Sun Pharma is driven by a mission to provide affordable, high-quality medicines to patients worldwide.

The Challenge: Secure AI for a Highly Regulated Industry​

Pharmaceutical companies operate under some of the most rigorous data governance and compliance requirements in any industry. As generative AI capabilities matured, Sun Pharma's teams across R&D, regulatory affairs, and medical operations were eager to put AI to work — but third-party SaaS AI tools posed unacceptable risks:

  • Proprietary drug formulation data and clinical research couldn't leave Sun Pharma's infrastructure
  • Regulatory submissions require strict traceability and auditability of information sources
  • A global footprint spanning 100+ countries meant diverse data residency requirements
  • Different business units needed tailored AI models for their specific workflows

The goal: deploy a self-hosted AI platform that gave teams the power of modern LLMs while ensuring all data, models, and interactions remained fully within Sun Pharma's controlled environment.

Key Requirements

  • On-premises deployment with no data leaving Sun Pharma's infrastructure
  • Multi-model flexibility — ability to run internal models alongside commercial APIs
  • Role-based access control aligned to function and data sensitivity
  • Audit logging for compliance and governance oversight
  • Custom model creation to support specialized pharmaceutical workflows

The Solution: HridaAI on Private Infrastructure​

Sun Pharma selected HridaAI for its open architecture, deep customization, and enterprise-grade security controls. The platform was deployed within Sun Pharma's private on-premises infrastructure, with strict network isolation ensuring no sensitive data traversed external networks.

Architecture Highlights

  • Compute / Orchestration: On-premises private cloud with container orchestration
  • Storage / Database: Encrypted internal databases with access controls aligned to data classification policy
  • Networking: Fully isolated private network — no external LLM API calls for sensitive workflows
  • Models: Mix of internally hosted open-source LLMs for sensitive data + Azure OpenAI for general-purpose tasks
  • Security Controls: SSO via Active Directory, RBAC by department and data sensitivity tier, comprehensive audit logs
  • CI/CD: Internal DevOps pipelines managing deployments and model configuration updates

"HridaAI gave us the flexibility to bring AI to every function in the organization — without ever compromising on data security or regulatory compliance." — Digital Innovation Team, Sun Pharma

Adoption & Enablement​

Sun Pharma rolled out HridaAI through a phased adoption program:

  • Phase 1: Pilot with R&D and Regulatory Affairs teams
  • Phase 2: Expansion to Medical, Pharmacovigilance, and Commercial functions
  • Phase 3: Full enterprise rollout across global operations

Enablement included hands-on training sessions, department-specific use case workshops, and an internal AI champions network to drive grassroots adoption. Teams were onboarded with workflow guides tailored to pharmaceutical-specific applications — from literature review to regulatory dossier analysis.

Results: Research Speed, Compliance Confidence, and Scale​

HridaAI powering Sun Pharma's internal AI platform.

01. Accelerated R&D Literature Review​

Researchers across drug discovery and clinical development teams used HridaAI's RAG (Retrieval-Augmented Generation) capabilities to search and synthesize scientific literature, clinical trial data, and internal study reports — dramatically reducing time spent on manual literature reviews.

02. Regulatory Document Workflows​

Regulatory affairs teams deployed custom AI models tailored to the structure of dossiers, submissions, and labeling requirements. AI-assisted drafting and review reduced turnaround times on regulatory documents while maintaining the traceability required for submissions.

03. Cross-Functional Adoption​

From Sales and Marketing to Medical Information and Pharmacovigilance, HridaAI's intuitive interface and department-specific custom models enabled broad adoption across functions with minimal training overhead.

04. Data Governance at Scale​

The fully private deployment ensured that proprietary compound data, clinical trial results, and patient-related information never left Sun Pharma's infrastructure — satisfying legal, compliance, and regulatory governance requirements across all operating regions.

"The ability to deploy AI models tailored to our specific therapeutic areas — while keeping all data on our own infrastructure — is what made HridaAI the right choice." — R&D Digital Transformation, Sun Pharma

Top Use Cases​

  • Scientific literature review and synthesis for drug discovery
  • Regulatory dossier drafting and document analysis
  • Pharmacovigilance case summarization and signal detection support
  • Medical information query handling
  • Translation and localization of medical documents for global markets
  • Internal SOP search and retrieval via RAG

Why Sun Pharma Chose HridaAI​

  • Full data sovereignty: sensitive pharmaceutical data stays on-premises, always
  • Model flexibility: run internal open-source LLMs for sensitive workflows, commercial APIs for general use
  • Custom models: department-specific AI tools without engineering bottlenecks
  • Compliance-ready: audit logs, RBAC, and governance controls built in
  • Global scalability: single platform serving 100+ country operations from a central deployment
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This content is for informational purposes only and does not constitute a warranty, guarantee, or contractual commitment. Hrida AI is proprietary software owned by Zlabs Innovation, provided "as is." See your license for applicable terms. © 2026 Zlabs Innovation. All rights reserved.