Getting Started

The process:

At a high level, you’ll start by choosing the project, preparing your data, and building your AI models.

We’ve successfully completed a large number of AI adoption projects across a wide range of industries, and our team will help you identify and scope high-value projects that are likely to bring you real value, right from the start.

Every company’s needs are unique, and we’ve built an adoption process that is highly flexible.

Why this matters to our customers:

We have designed Citrine’s VirtualLab, DataManager, and ExpertFinder to apply cutting-edge machine learning techniques to the materials and chemicals domain. With the Citrine Platform, you are always in control. Our approach to AI is to make it as easy as possible to develop and review proposed solutions, so your teams can focus on finding results that work for your business.

New Ways of Thinking About Product Development

Generative AI isn’t magic, but it does let scientists think differently about what’s possible. We’re eager to show you how to find latent connections and alternatives that have been hiding in your data – and how to explore what this could mean across your organization.

Enabling Your Customers’ Success

The more quickly you can ramp up with the Citrine Platform, the faster you can provide solutions to the tough problems you’re solving for your customers.

Faster Adoption → Faster Return on R&D Investments

The R&D cycle at most materials companies can be frustratingly and expensively long. We can get you moving quickly, so you can start to see direct applications that have a real-world impact on your revenue.

Experience With Companies Like Yours

Each industry has distinct inputs and formulations. Each company has its own unique capabilities and research legacy. Regulations and supply chain challenges often vary by geography. Profile chemical issues in every organization vary. And odds are, we’ve seen it before. With dozens of deployments in organizations large and small and running the gamut of industries, we can help you make AI work for your team.

Scott

We succeed when you succeed. Our aim is to get you running quickly on the platform so you can get the most business value from the technology on an ongoing basis.”

Scott Carlyle
Chief Commercial Officer

Building your internal capabilities

We give your team the training they need:

Flexible, customizable training content presented to your Working Team by Citrine’s Materials Informatics experts
Course syllabus structured into multiple short engagements, designed to keep your team engaged
Targeted training to educate your R&D scientists, project leaders, and IT professionals, laying the groundwork for new technology adoption
“Train the trainer” process to quickly establish in-house expertise

Finding your high-value projects, preparing your data

Our adoption specialists help you arrange a meaningful proof-of-concept:

Structured process with your working team to identify and scope suitable first projects
Identify associated data sets and data streams
Create a data structure relevant to your company’s unique materials profile
Transfer data to our operating platform using Citrine DataManager

Creating, refining, and validating your initial models

After your project data is digitized and searchable, we work together with you to build the first AI model:

Generating a first-pass model based on training data
Refining your model using your team’s specific domain knowledge
Using your model’s results in Citrine VirtualLab to suggest which candidate materials should be synthesized and tested
Validating your model’s accuracy
Iterate, by feeding data from select experiments back into the platform and re-running the model with more data

Developing the broader roll-out plan

Once you’re comfortable with how the platform operates, you’ll lead the next adoption phase, with our team standing by to provide additional support as needed:

Helping you develop a training and deployment plan to expand access to the platform
Identifying the most likely areas to benefit as part of the business case
Providing ad hoc professional support to supplement your own teams’ data science capabilities, if needed

FAQs

What skills are needed to master materials informatics?

The latest Materials Informatics software – like the Citrine Platform – are no-code systems using an understandable graphical user interface to perform an AI workflow. To get the most out of such a system you need a deep understanding of the materials and chemicals you are working on, and a basic understanding of concepts like uncertainty and optimization.
Do you need to code to do AI?

No. The latest AI software such as the Citrine Platform has been designed to be used through a graphical user interface without code. However, advanced users can leverage code-based APIs to integrate AI tools into existing design workflows.
How do you get scientists to adopt AI?

Firstly, it is important to give them ownership of the technology, by enabling them to (a) use the software directly through a graphical user interface – no code, (b) learn from the AI model – no black box, and (c) ensuring that they still chose which experiments to carry out.

Secondly, it is good to have a successful first project carried out by an enthusiastic team. Choose the team carefully (involving a respected technical leader, open to new technology) and make sure the project generates business value (clear obstacles to success, such as too little lab time available, and ensure business value can be measured).

Lastly, shout about the success and set expectations that AI is the new normal.

See for yourself:

Request a demo

It really is easy to get started.