Pharma AI Engineering

AI Engineering for Pharma & Life Sciences

XPndAI builds AI for drug discovery support, regulatory document intelligence, pharmacovigilance automation, and custom software for pharma companies and CROs.

What We Build
For Your Business

End-to-end AI and software engineering with measurable enterprise outcomes.

How Leading Teams
Deploy This Technology

1

Regulatory Document AI — Pharmaceutical Company

A mid-size pharma company built a regulatory document AI that extracts and structures data from clinical study reports, maps it to CTD sections, and auto-populates submission templates — reducing regulatory dossier preparation time significantly.

2

Drug Information RAG Agent — MR Training

A pharma major deployed a RAG-powered drug information agent for their medical representative training program. MRs can query the approved product monograph and clinical data in natural language during field calls — improving scientific engagement with HCPs.

Built With Modern Tools

OpenAILangChainLlamaIndexPineconeFastAPIPostgreSQLPythonAWSGDPR & GCP Compliant Infra

Common Questions Answered

Everything you need to know before starting an AI project with XPndAI.

What AI solutions does XPndAI build for pharmaceutical companies?

XPndAI builds AI for drug discovery screening, clinical trial data analysis, regulatory document AI (CDSCO, FDA filing automation), pharmacovigilance signal detection, medical literature RAG systems for R&D teams, supply chain demand forecasting, AI quality control for manufacturing, and AI-powered MR (medical representative) support tools.

How much does pharmaceutical AI development cost?

Pharma AI at XPndAI starts from ₹12–25L for a regulatory document AI or literature review AI, ₹40–1Cr for clinical trial data AI or pharmacovigilance AI, and ₹1–5Cr for enterprise drug discovery or R&D intelligence platforms. Fixed-fee with clear technical milestones.

Is XPndAI compliant with CDSCO, FDA 21 CFR Part 11, and GDPR for pharma data?

Yes. XPndAI builds pharmaceutical AI with 21 CFR Part 11 electronic records compliance, CDSCO-aligned validation procedures, GDPR and India PDPB data protection, and GxP-compliant development practices. All AI systems include audit trails, version control, and validation documentation for regulatory submissions.

How long does pharma AI implementation take?

A regulatory document extraction AI takes 6–10 weeks. A pharmacovigilance signal detection system takes 12–16 weeks. A drug discovery screening AI platform takes 4–8 months. XPndAI provides feasibility assessment and a working PoC before full commitment.

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Deep Dive. Free.

Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.

  • Technical Architecture Blueprint — custom for your use case.
  • Scalable Infrastructure — built for enterprise growth.
  • Production-Ready Code — rigorous QA and deployment.
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