Data School
We guide you in discovering where data and AI can benefit your business. Learn about potential challenges and how to overcome them with our expertise.
Where to Use It?
Data and AI are transforming every industry. Yet, knowing how to leverage these technologies can be unclear. With our expertise, we swiftly identify valuable use cases for your business.
How to Implement?
Software development can be complex, with both technical and cultural hurdles. With over 10 years of experience, we are here to support you in navigating these challenges.
Data Infrastructure
We design and implement data architectures and MLOps platforms, empowering our clients to efficiently collect, store, and process data. This foundation allows for seamless AI integration in production.
Data Product
We create data and AI-driven software products that cut costs and risks while boosting profits and enhancing user experience.
1. Assessment
The assessment phase helps us understand your current situation. We identify existing data sets, digital infrastructure, and skills within your company. From this, we refine existing product ideas and generate new ones.
2. Prototyping
We take the best ideas from the assessment and develop them into prototypes. Prototypes let us quickly test and refine ideas using key metrics and user feedback. Our focus is on ensuring AI adds genuine value to your product, not using AI just for the sake of it.
3. Productionizing
Once the prototype meets our standards, we move it to production—ensuring it's secure, efficient, and easy to maintain. With our industry-leading experience, we apply best practices in Data Engineering, Data Science, and Software Engineering. Data architecture and MLOps are our specialties.
4. Maintenance
AI products are complex and rapidly evolving. We support you in maintaining and enhancing our products with the latest research. By using key metrics and both online and offline testing, we aim to deliver the best possible models.
