AI
Using Your Expertise to Drive Smarter AI
The Citrine Platform transforms your domain knowledge into a competitive advantage: accelerating product development and scaling formulations to production by embedding expert insight directly into AI-driven workflows.
What You Put In
Your experts don’t just observe—they guide. By selecting which material properties and datasets matter most, your team focuses the AI before it ever runs a model, eliminating noise and amplifying signal from the start.
Expert-Driven Property Selection
Product experts identify which properties of which materials are critical, ensuring the AI trains on what truly matters, not everything available.
Built-in Data Focus
The act of curating and importing data is itself an expert decision (supported by Citrine). This initial selection concentrates AI power on the most relevant formulation space from day one.
Adapting AI Models With Domain Knowledge
Materials and chemicals follow the laws of physics. So should your AI. The Citrine Platform lets experts encode known relationships directly into models, making AI smarter on the sparse, small datasets typical in materials R&D.
Chemically-Informed Modeling
Ground AI predictions in the physical and chemical laws your team already understands.
Custom Formulas
Insert domain-specific equations directly into the model to encode known property relationships and ingredient ratios.
Latent Variables
Use property predictions as inputs to other predictions to increase model accuracy.
Accelerating Scale-Up Through Practical Constraints
Getting a formulation right in the lab is only half the challenge. The Citrine Platform lets experts encode real-world constraints, regulatory, business, and operational, so AI recommendations are ready to scale from day one.
Constrain the Search Space
Define allowable ingredients, quantities, and processing parameters so the AI only explores formulations that are viable in practice.
Encode Reusable Guardrails
Regulatory, business, and operational requirements are embedded once and can be reused across projects.
Focus AI on What Scales
By narrowing the solution space, expert constraints direct AI power toward formulations that will succeed at production scale—not just in the lab.
