Citrine | Professional Services
A powerful AI system that lets your researchers find better results more quickly, by conducting virtual experiments before they go into the lab
Now that the materials and chemicals market has begun to embrace generative AI to improve outcomes, there is growing urgency for companies to stand up a program and expand its use. For those that need it, CPS can help speed up the implementation and onboarding process.
If resource constraints are likely to hamper your ability to move as quickly as you’d want, we can develop a customized engagement that will provide supplemental support as needed.
How do you want to compete in the market? Are you prepared to compete in the market without AI technology when your competition is most likely using it?
– Vice President of R&D at a building materials company
Help with non-standard technical environments or business issues
CPS is intended for use at any stage of a project when you might need some extra help. Working with a solutions engineer and customer success manager, you’ll be able to determine what level of support is appropriate, whether that’s working through an unusual integration issue or a broad strategic decision.
- Advice, coaching, and training through office hours or support for a core team
- Project planning, problem solving, and support for advanced platform use cases
- Advanced analytics and insights, including AI-model derived insights
- Data and systems integration advice, including helping with architectural design of data pipelines and data management strategy
- Strategy and change management, including non-standard help with onboarding, measuring value, and internal communications
- Data preparation, including help in preparing data for use with the Citrine platform, data digitization, and structuring
Learn how Citrine’s platform supported Panasonic as it developed new organic semiconductors.
Explore how HRL reduced development time from years to days using the Citrine Platform.
Discover how CVM screened 2500+ polymers in only 5 months. Researchers now know the most promising 10 polymers for a given target.