Where solids processing and modelling expertise meet application
Domain depth
We bring years of both theoretical and hands-on experience in pharmaceutical oral solid dosage development, with a deep understanding of formulation, particle attributes, and process behaviour.
This domain depth ensures that modelling efforts give scientifically backed solutions for real development challenges and constraints.
Combined skillset
We combine deep pharmaceutical development expertise with advanced modelling capabilities.
By embedding formulation, material, and process understanding into our models, we deliver grounded, interpretable insights, rather than black-box predictions.
Pharmaceutical modelling, built on experience, designed for impact.
Adaptability
Our modelling is built for flexibility and impact.
We work with the data you have, set clear expectations on outcomes, and deploy model predictions where they can deliver the greatest value across your product development challenges.
Elevate your pharmaceutical development
Business impact
Faster development, lower risk, lasting value
Do more with fewer experiments
Model-guided screening reduces experimental burden, material use, energy consumption, and waste, accelerating development while controlling cost.
Future-ready development capabilities
Mechanistic and hybrid models provide the foundation for digital twins, automation, and scalable AI adoption in pharmaceutical development.
Sustainable knowledge retention
Capture knowledge gains in reusable models, preserving critical know-how and making it available beyond individual projects
or teams.
Features unlocked for process development
Formulation screening
Quantitative exploration of formulation options
Efficiently screen formulation space using models that balance multiple quality attributes, enabling informed trade-offs early in development.
Scale-up and transfer
Lean model-based scaling strategies
Leverage measurement-efficient small-scale models to capture process knowledge, combined with targeted large-scale experimentation to build robust scale-up and transfer models with minimal experimental burden.
Pathway selection
Production route decision support and risk evaluation
Integrate experimental data and models to compare development pathways, support strategic choices, and assess technical risks quantitatively.
Particle design including formulation considerations
Model-guided particle attribute definition
Apply models to evaluate and guide particle design choices, linking particle properties to downstream processability and product performance.
Process understanding
Quantified links between process and quality
Develop models that capture relationships between process parameters and critical quality attributes, creating deep, transferable process understanding.
Ready to embark on a journey of digital transformation?
We at Elegent are very glad to be a partner for you in this, bringing your visions and needs together in the most effective path towards the design of digital support for your product development.