PharmaMar looks to accelerate oncology research with AI through collaboration with Globant
- The new alliance has launched a multi-agent AI framework to support faster, data-driven decisions in cancer research.
- Agentic AI system achieves 15x faster insights with over 90% accuracy.
Through Globant Enterprise AI, the two organizations have created a multi-agent AI system that delivers more than 90% accuracy in complex data retrieval and reduces time to insights up to 15-fold, helping scientists select high-potential drug candidates for clinical development in a fraction of the time previously required.
The platform is capable of analyzing large volumes of scientific, regulatory, and clinical data sources to assist with decision-making across PharmaMar's R&D ecosystem and enable continuous, self-improving workflows.
Over 20 specialized digital agents are working across preclinical, clinical, regulatory, commercial and strategy areas, uniting human creativity and machine precision in the fight against cancer. Each agent collaborates within GEAI's secure architecture to process documents, simulate scenarios, and rank the most promising pharmaceutical assets.
The system enables reviews of over 4,500 research documents to prioritize the 10 most viable treatment-indication combinations out of over 8,000 possibilities - work that would have taken months for human researchers to complete.
This intelligent system integrates information from internal databases, scientific publications, and global regulatory sources such as the FDA and EMA, allowing PharmaMar's teams to identify promising treatment combinations and make more informed, faster decisions.
"Drug discovery has always been a race against time, and in oncology, that time can mean everything," said Dr.
Beyond speed and efficiency, the collaboration strengthens PharmaMar's ability to reuse institutional knowledge and fosters a new culture of digital innovation across its teams. In the next phase of the project, PharmaMar plans to extend these capabilities to enable hypothesis generation, real-time compliance checks, and automated content creation for scientific reporting.
"PharmaMar's vision proves what's possible when human intelligence and AI systems work side by side," said
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