Applied statistics, modeling and ML to support formulation, process and development decisions.
DoE and response-surface methods that define robust operating ranges and pinpoint the optimum — meeting regulatory expectations with as few experiments as possible.
When many factors move at once, regression and ML models rank what truly drives the outcome — surfacing the multimodal interactions one-at-a-time analysis misses.
View case studyCustom ML pipelines — Random Forest, SVM, XGBoost, neural nets — cross-validated, deployed to production, and wired to KPI dashboards your teams can trust.
View case studyRank candidates against a reference with Tanimoto, Dice, Cosine and custom metrics to surface simpler, safer compounds with the properties you want.
View case studyGroup compounds by chemical and physical properties so you test representatives instead of the whole library — mapping large spaces fast.
View case studyCustom analytics databases that consolidate scattered R&D and manufacturing data into one private, queryable, maintained source.
View case studyAn AI pipeline uniting ligand-based ML, structure-based docking and generative design to explore chemical space and deliver ranked — or already synthesized — candidates.
AI/ML discovery built to generate defensible IP — multiple patent filings across novel drugs, forms and methods, proven on live programs.
Track recordWe write, win and lead EU-funded research — coordinating multi-partner consortia from competitive proposal through delivery.
Track recordAcross novel drugs, processes & AI methods
EU & venture funding secured
Academic & industry collaborators
EU-funded research programs led end-to-end
Faster R&D through data-driven decisions
Savings from truly knowing your system
Zyntar is led by pharmaceutical scientists and data scientists with extensive experience across formulation development, manufacturing, process control, and regulatory execution in global pharma and biotech environments.
Depending on project needs, we work with a trusted network of senior scientific experts and academic collaborators in statistics, machine learning, chemistry, and pharmaceutical technologies — staying independent, efficient, and closely aligned with each client's challenges.
Explore how we can support your project — from early development through late-stage and commercial.