Citrine uses artificial intelligence to analyze materials data from experiments and literature to help materials developers shorten development cycles and accelerate innovation. Citrine ingests large amounts of existing materials data from various sources and formats, structures it in a unified database, and applies machine learning to discover patterns and predict properties of new materials faster than traditional intuition-driven experimentation alone. By leveraging existing experimental data that did not previously lead to successful materials or chemicals, Citrine helps companies avoid wasted experiments and make the design process for new materials more efficient.

1. Data-Driven
Materials
Development
Cofounder & CSO
Bryce Meredig

2. How fast you can move
You are now defined by

3. Materials: analog
in a digital world
• World’s reference data is stuck in
old books, many formats
• Unstructured and scattered

4. Your data is a
corporate asset
• 10,000 experiments yield 1
success
• Citrine makes those 9,999
“failed” experiments an asset and
uses them to plot the future

5. • Intuition driven
• Intuition + data is far more powerful than intuition alone
Hypothesize Test Iterate

6. Ingestion Engine Data Infrastructure Artificial Intelligence
Takes these diverse
formats of materials data
and brings them into a
usable structure
Store and host the data in
a system that understands
the complexities and
subtleties of materials and
chemicals data
Learn the patterns in the
data coupled with an
understanding of physics
and chemistry
Products

7. Thank You