You probably call it “support.” We think of it as “customer success.”
At Citrine, we’re not just another SaaS company. We’re providing the support you might need as you advance your own digital transformation.
Once teams have had a taste of what kinds of outcomes are possible with AI in Product Development, there is no going back. But there’s often a cultural shift involved. That’s why we offer whatever support users need, whether they’re using the platform or sharing their experience with others.”
Kyle Killebrew
Head, Customer Success
Education and Training
All users have on-demand access to Citrine University, our on-demand learning hub which includes courses such as “Intro to Citrine Platform and Materials Informatics,” “Intro to Sequential Learning,” “Formulations Candidate Selection, and “AI Modeling & How to Adjust Your Approach.”
Group presentations
We regularly offer live and recorded presentations on a range of topics to help users and executives get the most out of the platform. Examples of some recent webinars include an executive roundtable discussion on the value of implementing AI in product development and R&D, how teams can efficiently prepare their data as part of digital transformation initiatives, and a discussion on how to incorporate sustainability goals into R&D initiatives.
On-demand problem solving
When your teams need more one-on-one assistance, we have solutions engineers, data engineers, data scientists, and others who can step in. Many of our application experts are material scientists with graduate training and industry experience. They can work with your users to shape a query, refine a model, interpret a result, and more.
Planning for success
We’ve seen companies be most successful when they share AI models across projects and technology platforms / chassis. This creates a flywheel effect: the AI platform keeps getting more effective at design, making each new product development project better and faster. Our customer success managers help you build the roadmap for achieving this kind of scale, advising on best practices for adoption and change management.