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Innowise helps pharmaceutical companies harness AI to shorten discovery timelines, optimize clinical operations, ensure GxP compliance, and create scalable solutions ready for global markets.
Innowise helps pharmaceutical companies harness AI to shorten discovery timelines, optimize clinical operations, ensure GxP compliance, and create scalable solutions ready for global markets.
We support pharmaceutical companies across the entire drug development lifecycle with consulting and hands-on development.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Our AI consulting and development services target critical pharma challenges across research, operations, and compliance.
Accelerate target identification and hit-to-lead selection with multi‑omics, generative models, and advanced simulation methods.
Enhance early discovery and translational research with analytics pipelines that reveal hidden correlations and provide actionable insights.
Improve recruitment and adaptive design with predictive analytics and enable real-time monitoring to spot risks or opportunities sooner.
Ensure adherence to GLP, GCP, GMP, GDP, and GVP standards with validated, compliant AI systems.
Unlock insights from EHR, imaging, and trial datasets to guide evidence-based decision-making.
Predict demand, optimize batch quality, and prevent bottlenecks with AI-driven process monitoring.
Detect safety signals across clinical reports, publications, and social media using NLP and ML.
Embed auditability, explainability, and data security into every AI workflow.
Streamline supplier selection and monitoring with intelligent data analysis.
We design and implement specialized AI applications that address the unique needs of pharmaceutical R&D and operations, from trial automation to personalized medicine, ensuring each solution is practical, compliant, and ready to scale.
Monitor adverse events in real time across multiple data streams, using NLP to flag weak signals early and automate safety reporting.
Digitize CTMS and EDC workflows to streamline recruitment and adaptive monitoring, enabling faster protocol adjustments and stronger data integrity.
Integrate EHR, lab, and device data into unified datasets that are ready for downstream analytics and regulatory submissions.
Automate audit preparation and CAPA tracking with built-in validation frameworks that simplify inspections and reduce risk.
Forecast demand and optimize inventory levels while proactively identifying shortages with predictive models linked to production data.
Spot emerging therapeutic opportunities and track competitor pipelines to inform portfolio strategy and market entry decisions.
Mine real-world evidence and omics datasets to identify new indications for existing molecules, lowering development costs and time-to-market.
Enable biomarker discovery and therapy matching by combining omics data with clinical records for targeted treatment strategies.
Connect genomics, proteomics, and metabolomics datasets into a cohesive view, supporting biomarker discovery and disease pathway analysis.
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.
We also develop AI agents as standalone solutions to streamline pharmaceutical processes. These are autonomous, goal-driven systems that can plan, reason, and act with minimal human intervention, unlocking entirely new possibilities:
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.
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.
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.
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.
Accelerated drug discovery
Smarter clinical trials
Intelligent workflows
Continuous compliance
Our consulting approach is built to deliver measurable results for pharma organizations by combining technical expertise with a deep awareness of industry regulations and scientific realities.
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.
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.
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.
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.
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.
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.
We collaborate with leading pharma companies, research institutions, and technology providers to co-develop AI solutions that are both innovative and compliant.
Secure a clear, compliance-ready roadmap that validates a high-impact use case and generates measurable outcomes for your stakeholders and teams.
Explore real-world examples of how we’ve helped pharmaceutical clients cut costs, improve trial efficiency, and discover new therapies.
Partnering with Innowise means relying on a team that blends technical excellence with deep pharmaceutical expertise. We help clients avoid costly missteps, accelerate time-to-value, and ensure compliance from day one.
Work with 50+ specialists experienced in R&D, clinical trials, regulatory submissions, and compliance audits.
Stay aligned with HIPAA, GDPR, FDA, EMA, and GxP standards thanks to validated pipelines, audit-ready documentation, and secure data handling.
Leverage our experience from 40+ pharma AI projects where we delivered measurable business outcomes and scientific insights.
From early advisory to custom solution engineering and long-term MLOps, we support every stage of AI adoption.
Choose from staff augmentation, co-development, or fully outsourced delivery models to match your budget and resource needs.
Explore verified reviews and customer success stories from organizations we support.
“It was a very intense and effective collaboration, all the developers were focused on the goals and prepared about all the technologies we cover.”
“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.”
“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.”
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.
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.
Yes. We design systems that meet FDA, EMA, HIPAA, GDPR, and GxP requirements through data minimization, explainable models, validation frameworks, and detailed audit trails.
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.
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