Industrial AI implementation: from use case to production

We help industrial companies turn promising AI and Data Science use cases into robust, production-ready solutions that deliver business value.

Our implementation projects combine deep Data Science and AI expertise with a strong understanding of industrial processes and requirements. We work alongside your domain experts and Data Science teams – from defining the use case and assessing available data to developing, validating, deploying and integrating the solution into your operational environment.

Typical turnaround is 3 months. Typical applications are predictive analytics, anomaly detection, process and quality optimization.

Depending on the use case and maturity of your existing Data Science setup, our projects can include:

• AI use-case identification and feasibility assessment
• Data analysis, preparation and feature engineering
• Machine Learning and AI model development
• Development of reproducible Data Science and ML pipelines
• Model validation, deployment and integration
• Industrialization and scaling of existing Data Science prototypes
• Knowledge transfer and enablement of internal Data Science teams

Where appropriate, we combine our implementation expertise with our Pipeline Constructor, helping Data Science teams build, manage and operationalize ML pipelines more efficiently. This allows our partners not only to solve an individual use case, but also to improve the way future AI solutions are developed and brought into production.

How we work:

We start with the industrial challenge rather than the technology. Together, we define the desired business outcome, evaluate available data and technical constraints and establish clear criteria for success.

Our Data Scientists then work closely with your domain and technical teams to develop and validate the solution. The objective is not a standalone proof of concept, but a solution designed with real-world implementation in mind.

Projects can range from focused feasibility and pilot projects to full implementation and long-term collaboration.

Who we work with:

• Manufacturing and industrial companies looking to apply AI to operational or engineering challenges
• R&D and innovation teams seeking an experienced AI implementation partner
• Data Science teams that want to accelerate development and move models into production more efficiently
• Organizations with existing AI prototypes that need to be industrialized, integrated or scaled