AI consulting for the pharma industry

Innowise helps pharmaceutical companies harness AI to shorten discovery timelines, optimize clinical operations, ensure GxP compliance, and create scalable solutions ready for global markets.

15+

pharma AI consultants

50+

engineers specializing in pharma

40+

AI-driven pharma projects delivered

Innowise helps pharmaceutical companies harness AI to shorten discovery timelines, optimize clinical operations, ensure GxP compliance, and create scalable solutions ready for global markets.

15+

pharma AI consultants

50+

engineers specializing in pharma

40+

AI-driven pharma projects delivered

  • Consulting
  • Use case validation
  • PoC/MVP development
  • AI implementation and integration
  • Custom AI solution development
  • AI for regulatory compliance

Consulting

Guiding pharma leaders through AI adoption with strategic assessments and roadmap design. We clarify priorities, highlight high‑value opportunities across R&D and clinical trials, and ensure alignment with scientific and business goals.

Consulting

Use case validation

Evaluating hypotheses with data analysis and pilot models to confirm feasibility. We help you avoid sunk costs by testing assumptions early and validating data readiness before scaling.

Use case validation

PoC/MVP development

Designing and delivering focused prototypes that demonstrate tangible value. In 8-12 weeks, our teams implement small‑scale AI models with clear KPIs and detailed test plans, giving your stakeholders evidence for confident go/no‑go decisions.

PoC/MVP development

AI implementation and integration

Engineering and embedding validated AI models into your IT ecosystem — from CTMS and LIMS to ERP platforms. In doing so, we ensure robust security, interoperability, and scalability so adoption is seamless for your research and operations teams.

AI implementation and integration

Custom AI solution development

Developing end‑to‑end AI pipelines tailored to specific pharmaceutical workflows. This includes multi‑omics analytics for target discovery, predictive modeling for trial outcomes, advanced pharmacovigilance NLP, and more. Each solution is engineered for reliability, interpretability, and regulatory alignment.

Custom AI solution development

AI for regulatory compliance

Building AI‑powered systems that simplify complex compliance tasks. Examples include automating audit preparation, continuously monitoring regulatory updates, validating datasets at scale, and streamlining reporting flows — all reducing manual burden while meeting FDA, EMA, and GxP standards.

AI for regulatory compliance
Consulting

Guiding pharma leaders through AI adoption with strategic assessments and roadmap design. We clarify priorities, highlight high‑value opportunities across R&D and clinical trials, and ensure alignment with scientific and business goals.

Consulting
Use case validation

Evaluating hypotheses with data analysis and pilot models to confirm feasibility. We help you avoid sunk costs by testing assumptions early and validating data readiness before scaling.

Use case validation
PoC/MVP development

Designing and delivering focused prototypes that demonstrate tangible value. In 8-12 weeks, our teams implement small‑scale AI models with clear KPIs and detailed test plans, giving your stakeholders evidence for confident go/no‑go decisions.

PoC/MVP development
AI implementation and integration

Engineering and embedding validated AI models into your IT ecosystem — from CTMS and LIMS to ERP platforms. In doing so, we ensure robust security, interoperability, and scalability so adoption is seamless for your research and operations teams.

AI implementation and integration
Custom AI solution development

Developing end‑to‑end AI pipelines tailored to specific pharmaceutical workflows. This includes multi‑omics analytics for target discovery, predictive modeling for trial outcomes, advanced pharmacovigilance NLP, and more. Each solution is engineered for reliability, interpretability, and regulatory alignment.

Custom AI solution development
AI for regulatory compliance

Building AI‑powered systems that simplify complex compliance tasks. Examples include automating audit preparation, continuously monitoring regulatory updates, validating datasets at scale, and streamlining reporting flows — all reducing manual burden while meeting FDA, EMA, and GxP standards.

AI for regulatory compliance

Areas we help improve with AI

  • Drug design & discovery

Accelerate target identification and hit-to-lead selection with multi‑omics, generative models, and advanced simulation methods.

  • Pharma R&D

Enhance early discovery and translational research with analytics pipelines that reveal hidden correlations and provide actionable insights.

  • Clinical trials optimization

Improve recruitment and adaptive design with predictive analytics and enable real-time monitoring to spot risks or opportunities sooner.

  • GxP

Ensure adherence to GLP, GCP, GMP, GDP, and GVP standards with validated, compliant AI systems.

  • Clinical intelligence

Unlock insights from EHR, imaging, and trial datasets to guide evidence-based decision-making.

  • Manufacturing & supply chain

Predict demand, optimize batch quality, and prevent bottlenecks with AI-driven process monitoring.

  • Pharmacovigilance

Detect safety signals across clinical reports, publications, and social media using NLP and ML.

  • Compliance & risk management

Embed auditability, explainability, and data security into every AI workflow.

  • Vendor procurement

Streamline supplier selection and monitoring with intelligent data analysis.

AI solutions we build for pharma

In pharma, AI succeeds when it delivers insights researchers can trust and act on quickly. It’s not about building massive systems upfront but about proving value in one workflow, then scaling responsibly so adoption feels natural and compliance is never in doubt.

Portfolio manager in Healthcare and Pharmaceutical technologies

Agentic AI as the new frontier in pharma

01/04

Accelerated drug discovery

AI agents explore vast molecular libraries, propose novel compounds with generative models, and refine promising leads, compressing discovery timelines that traditionally take years into months.

02/04

Smarter clinical trials

Agentic systems design adaptive trial protocols, match patients to studies more effectively, and adjust in real time as new data streams in, helping sponsors reduce recruitment delays and trial failures.

03/04

Intelligent workflows

By automating literature reviews, orchestrating lab tasks, and prioritizing experimental pipelines, agentic AI removes manual bottlenecks and allows researchers to dedicate more time to scientific exploration.

04/04

Continuous compliance

AI agents track regulatory changes across FDA, EMA, and ICH guidelines, automate documentation, and proactively flag risks so companies stay inspection‑ready at all times.

01

Accelerated drug discovery

02

Smarter clinical trials

03

Intelligent workflows

04

Continuous compliance

Our approach to AI consulting for pharma

Strategic roadmap & scoping Icon

We’ll team up with you to define project scope, goals, and regulatory considerations. This includes aligning on scientific objectives, understanding the data landscape (from omics to clinical trial data), and establishing milestones that keep drug development programs on track.

Feasibility analysis & cost optimization Icon

We’ll conduct a thorough feasibility check with a focus on scientific rigor, regulatory approval, and ROI. By identifying risks early, optimizing resource allocation, and planning around compliance costs, we maximize both financial and scientific returns.

Collaborative partnership Icon

Projects thrive when pharma teams and technology experts work as one. We build open communication into every engagement so that your stakeholders stay aligned, decisions remain transparent, and outcomes are robust enough to withstand scientific and regulatory scrutiny.

Quality assurance Icon

We maintain the highest quality standards through rigorous testing, model validation, bias checks, and traceability protocols required by GxP. Both automated QA and expert engineering review guarantee robustness and reproducibility.

Data security & compliance Icon

Your sensitive patient, trial, and research data will be treated with the strictest security standards. Audit‑ready pipelines; HIPAA, GDPR, FDA, and EMA compliance; and ISO 27001 practices — all ensure safe AI adoption without compromising data integrity.

Knowledge transfer & documentation Icon

As a result of our cooperation, your teams will be fully equipped through detailed documentation, validation reports, and training. This makes regulatory reviews smoother and sustains long‑term value from AI initiatives.

Strategic partnerships in pharma AI

Novartis logo.Alliance Medical logo.ISO 27001 logo.HIPAA logo.GDPR logo.Telea logo. Megaomega logo. NAIP logo.
Novartis logo.Alliance Medical logo.ISO 27001 logo.HIPAA logo.GDPR logo.Telea logo. Megaomega logo. NAIP logo.
Novartis logo. Alliance Medical logo. ISO 27001 logo. HIPAA logo.
Novartis logo. Alliance Medical logo. ISO 27001 logo. HIPAA logo.
GDPR logo. Telea logo. Megaomega logo. NAIP logo.
GDPR logo. Telea logo. Megaomega logo. NAIP logo.
Start your AI journey

Secure a clear, compliance-ready roadmap that validates a high-impact use case and generates measurable outcomes for your stakeholders and teams.

Selected success stories

Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo. Nestle logo. Novartis logo. Spotify logo.
Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo. Nestle logo. Novartis logo. Spotify logo.
Aramco logo Mercedes logo. Costco Wholesale logo. Shell logo. Accenture logo. NVIDIA logo. SPAR logo. Mastercard logo. CVS Health logo. The Walt Disney logo.
Aramco logo Mercedes logo. Costco Wholesale logo. Shell logo. Accenture logo. NVIDIA logo. SPAR logo. Mastercard logo. CVS Health logo. The Walt Disney logo.
Google logo.Hays logo.PayPal logo.Siemens logo.Nike logo.Volkswagen logo.LVMH logo.
Google logo.Hays logo.PayPal logo.Siemens logo.Nike logo.Volkswagen logo.LVMH logo.
Nestle logo.Novartis logo.Spotify logo.Aramco logo.Mercedes logo.Costco Wholesale logo.
Nestle logo.Novartis logo.Spotify logo.Aramco logo.Mercedes logo.Costco Wholesale logo.
Shell logo.Accenture logo.NVIDIA logo. SPAR logo.Mastercard logo.CVS Health logo.The Walt Disney logo.
Shell logo.Accenture logo.NVIDIA logo. SPAR logo.Mastercard logo.CVS Health logo.The Walt Disney logo.

Why choose Innowise

  • Deep pharma expertise

Work with 50+ specialists experienced in R&D, clinical trials, regulatory submissions, and compliance audits.

  • Regulatory-first design

Stay aligned with HIPAA, GDPR, FDA, EMA, and GxP standards thanks to validated pipelines, audit-ready documentation, and secure data handling.

  • Proven delivery model

Leverage our experience from 40+ pharma AI projects where we delivered measurable business outcomes and scientific insights.

  • End-to-end support

From early advisory to custom solution engineering and long-term MLOps, we support every stage of AI adoption.

  • Flexible engagement

Choose from staff augmentation, co-development, or fully outsourced delivery models to match your budget and resource needs.

What our customers think

Marco Scarpa Technical Product Manager Beantech S.r.l
company's logo

“It was a very intense and effective collaboration, all the developers were focused on the goals and prepared about all the technologies we cover.”

  • Industry IT services
  • Team size 6 specialists
  • Duration 22+ months
  • Services IoT development
Nikolay Orlov CEO KEYtec AG
company's logo

“What I found most impressive about Innowise was their ability to adapt to our specific needs while maintaining strict timelines. They combined a customer-centric approach with strong project management skills, ensuring that deliverables were of high quality and on time.”

  • Industry Financial services
  • Team size 2 specialists
  • Duration 8 months
  • Services IT managed services
Gian Luca De Bonis CEO & CTO Enable Development OÜ
company's logo

“We are impressed with their flexibility and willingness to find solutions for challenging situations. They actively assisted in every kind of situation. The team's willingness to deliver optimal results ensures the partnership's success.”

  • Industry IT consulting
  • Team size 8 specialists
  • Duration 36 months
  • Services Staff augmentation

FAQ about AI in the pharma industry

How is AI used in pharmaceuticals?

AI helps accelerate drug discovery, optimize clinical trials, improve manufacturing efficiency, and strengthen compliance processes. Use cases range from virtual compound screening and biomarker discovery to trial recruitment optimization and pharmacovigilance.

How does AI accelerate drug discovery?

By combining multi-omics data with in silico screening, molecular docking, and generative design, AI reduces discovery cycles from years to months while increasing the likelihood of identifying viable leads.

Is AI safe and compliant with pharma regulations?

Yes. We design systems that meet FDA, EMA, HIPAA, GDPR, and GxP requirements through data minimization, explainable models, validation frameworks, and detailed audit trails.

How big is AI in the pharmaceutical industry?

Analysts project the global pharma AI market to grow into the tens of billions of dollars within the next decade, driven by adoption in discovery, trials, pharmacovigilance, and manufacturing.

Feel free to book a call and get all the answers you need.

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    What happens next?

    1

    Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

    2

    After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

    3

    We’ll arrange a meeting with you to discuss the offer and nail down the details.

    4

    Finally, we’ll sign a contract and start working on your project right away.

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