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Why C.A.S.E Companies Use the Citrine Platform

  • Streamline the stage-gate process
  • Increase R&D efficiency
  • Facilitate sustainable product development
  • Adapt faster to changing markets
Find out more about the platform

The Ideal Research Partner

Faster product development
Faster product development
Increased customer responsiveness
Increased customer responsiveness

Regulatory resilience
Regulatory resilience

Improved sustainability
Improved sustainability

Adapt To Regulations Quickly 

A new regulation on a key material within your multi-ingredient formulation can seem like a roadblock to innovation. However, thanks to your ability to leverage machine learning within the Citrine Platform, building a new formulation without compromising results is faster using AI-guided experimentation. Be first to suggest a compliant, performant new formulation to your customers.

Gain Visibility & Achieve Collaboration

The Platform and its data storage make it easy to break down inter-organizational silos. Different people on different teams can all see what’s been tested, what works, and what doesn’t, leading to more effective research and experimentation. By making the stage-gate process more efficient you’ll be able to go to market faster.

Execute More Efficient Experiments 

Leveraging the Platform’s AI means your team can determine which materials have a higher probability of working earlier in the discovery process leading to fewer experiments and a reduction of development costs. By making predictions for performance criteria earlier in the process, the scope can be narrowed to a small subset of experiments, reducing time and money spent on poor outcomes.  


Unlock New Product Development 

Sit down with Citrine Informatics and Synthomer today to learn how AI-driven R&D leverages historical data alongside expert domain knowledge to enable new product development.


Challenges in Machine Learning For Formulations

Formulations development has unique challenges associated with the vast spectrum of possible ingredient combinations and the complex rules that govern their mixing. Learn how we address these challenges with formulations-specific AI and data management approaches.