Shelpuk & Company
    AI-powered pharmaceutical and healthcare technology
    Pharma & Healthcare AI

    AI for Pharma & Healthcare

    From pre-clinical R&D and clinical diagnostics to hospital operations and commercial pharma — we build AI systems that accelerate outcomes across the entire healthcare and life sciences ecosystem.

    Our team brings hands-on experience in bioinformatics, medical imaging, clinical AI diagnostics, and pharma analytics. We've co-founded biotech startups, built AI products for clinics and hospitals, and delivered enterprise solutions for global pharmaceutical companies.

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    R&D & Pre-Clinical

    Accelerate Discovery with AI-Powered Genomics

    Pre-clinical research generates massive datasets that overwhelm traditional analysis tools. Our founder Sergii Shelpuk co-founded DeepTrait — an AI-powered NGS data analysis platform that puts the power of genomic discovery directly into the hands of lab scientists, without requiring any coding expertise.

    DeepTrait (Co-founded by Sergii Shelpuk)

    NGS Data Analysis Platform for Drug Discovery

    Built a no-code NGS data analysis platform that enables lab scientists to discover novel therapeutic targets and diagnostic markers in under six hours. Supports Kolmogorov-Smirnov tests, ROC curve analysis, and all major variant and gene annotation databases.

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    Clinical & Diagnostics

    AI-Powered Clinical Diagnostics & Medical Imaging

    Whether you run a clinic, a hospital department, or a diagnostic lab — clinical workflows demand accuracy, speed, and auditability. We build AI diagnostic pipelines that integrate directly into clinical operations, giving physicians and healthcare providers AI-assisted decision support they can trust.

    Commercial & Operations

    AI for Healthcare Operations & Pharma Commercialization

    From hospital workflow optimization and patient engagement to pharmaceutical CRM analytics and Medical Science Liaison operations — we help healthcare organizations and pharma companies drive data-driven decision-making at scale.

    AstraZeneca

    AI Product for Medical Affairs

    Developed an AI insights analytics tool that automates CRM record analysis, delivering actionable insights from large-scale Medical Affairs operations. Accelerated data-driven decision-making and transformed complex CRM data into a strategic asset.

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    Sergii Shelpuk
    Partner

    Sergii Shelpuk

    Co-founded DeepTrait — AI-powered NGS data analysis platform for drug discovery
    15+ years in AI consulting, including Fortune 500 pharmaceutical companies
    Led delivery of clinical AI diagnostics and pharma analytics products
    Graduated from LSE and Stanford
    20+ AI projects delivered across healthcare, pharma, and life sciences
    LinkedIn

    Book a free 2-hour AI assessment for your pipeline

    We'll evaluate your highest-value AI opportunities across R&D, diagnostics, and commercial operations — mapped to your data maturity, regulatory constraints, and clinical workflows. No cost, no commitment.

    Frequently Asked Questions

    Answers to common questions about this topic.

    How can pharma teams apply AI while staying compliant?

    Pharma teams can apply AI in compliant ways by aligning use cases with validation evidence, traceability requirements, and regulated operating procedures. Shelpuk AI Technology Consulting supports pharma teams with AI delivery patterns designed for regulated product and process environments.

    What implementation approach is effective for pharma AI under GxP and validation expectations?

    In this context: AI solutions for pharmaceutical companies. Drug discovery, clinical trial optimization, and regulatory compliance automation. Strong delivery combines validated data foundations, traceable model-evaluation workflows, medical and quality stakeholder alignment, and staged rollout through governed use cases. Shelpuk AI Technology Consulting implements practical governance and validation guardrails so AI use remains audit-ready.

    How are pricing and scope framed for pharma AI delivery programs?

    Scope and pricing are shaped by validation depth, regulatory documentation needs, integration with laboratory and quality systems, and change-management effort. Shelpuk AI Technology Consulting defines commercial models with explicit assumptions for compliance workload and system integration.

    What results are realistic for pharmaceutical organizations adopting AI at scale?

    Organizations usually see faster knowledge retrieval, improved documentation throughput, better signal triage in regulated processes, and clearer compliance evidence. Shelpuk AI Technology Consulting brings experience from healthcare-adjacent case work to accelerate adoption without weakening quality controls.