Co-creation

Top Data Science co-creation model brings together customers’ domain knowledge and our AI know-how to build up innovative, robust and scalable solutions.

Co-creation

Since the establishment of the company Top Data Science has put a significant emphasis on building up competences and working practices to capture customers’ domain knowledge in a way that enables fast and iterative creation of high-performing AI solutions.

The diverse background of the founding members from research to business consultancy and software has formed an excellent basis for the company core competencies. These have been uplifted to include more extensive software to AI-deployment capabilities needed for corporate wide scalable solution deployments.

The industries that we have co-created and deployed AI solutions include:

  • Pulp & paper and packaging
  • Wide range of process industries
  • Engineered product and component industries
  • Health care & health tech
  • Traffic management and transportation
  • Biotechnology and pharmaceuticals
  • Public sector

From Proof-of-Concept to Production

Top Data Science has been successfully using the three stage collaboration model, which often starts with a Proof-of-Concept project including AI introductions and a customer problem assessment, and scales up to robust and extendable corporate wide AI solution deployments.

Want to hear more?

Scientific Approach

The scientific mindset is key part of Top Data Science company culture and genetics. It shows in our business through active involvement in selected research programs and ecosystems, participating in  competitions that focus on AI-based innovation, and constant curiosity in thinking novel ways to solve customer problems with state-of-the-art machine learning solutions.

Our team consists of several PhDs, PhD students and MScs with various backgrounds, having strong focus on Machine Learning and Computer Science. Continuous follow-up of AI tech scene and related knowledge-sharing is a natural team behaviour and critical part of our success.

Our parent company Morpho, Inc. was founded by technical experts from the University of Tokyo who specialized in the field of image processing. Morpho’s goal is to take the expertise and experience developed in the lab out into the real world to solve real world imaging problems.

Morpho and Top Data Science share a common mission to bring advanced technology to people in form of innovative solutions with good user experience.

Scientific Approach

The scientific mindset is key part of Top Data Science company culture and genetics. It shows in our business through active involvement in selected research programs and ecosystems, participating in  competitions that focus on AI-based innovation, and constant curiosity in thinking novel ways to solve customer problems with state-of-the-art machine learning solutions.

Our team consists of several PhDs, PhD students and MScs with various backgrounds, having strong focus on Machine Learning and Computer Science. Continuous follow-up of AI tech scene and related knowledge-sharing is a natural team behaviour and critical part of our success.

Our parent company Morpho, Inc. was founded by technical experts from the University of Tokyo who specialized in the field of image processing. Morpho’s goal is to take the expertise and experience developed in the lab out into the real world to solve real world imaging problems.

Morpho and Top Data Science share a common mission to bring advanced technology to people in form of innovative solutions with good user experience.

Customer on co-creation

with Top Data Science

“Top data science has demonstrated very good AI competence and also a very flexible attitude in our cooperation. They have the right attitude to working together with customers for problem solving with AI. Also their team is very easy to work with. I’d warmly recommend them.”

Rashmi Kasat
VP, Head of Digital Business Development, Digital Garage, Metso

“Top Data Science team is highly professional, committed to the customer and results oriented. Together we have co-created several new concepts and AI technologies helping us to achieve our goal to create more automated and advanced glass tempering machines. We can warmly recommend them.”

Kai Knuutila
Head of Digitalization
Glaston