Predictive Care

Leverage advanced AI for predictive maintenance, quality assurance, zero-touch operations, and cost-efficiency (CX) in fields like industrial manufacturing and telecom, using Google’s tools for, e.g., visual inspection and automated machine learning model development.

Familiar Challenges

Unplanned downtime
Inferior or inconsistent quality of products and services
Inefficient use of people, machinery, material and capital resources
Missing root cause analysis of system failures

Our Solution

Remove data silos and enable Google Cloud AI tools and anomaly detection to drive outcomes
Reduced unplanned downtime and maintenance costs; increased asset lifespan; improved operational efficiency; increased customer satisfaction

Our Unique Value

Extensive experience from manufacturing and telco industries
In-depth understanding of real-world value-adding predictive care processes and approaches as well as Google Cloud’s tools for extracting, collecting, and analyzing data

Our Predictive Care References

Swappie wanted to explore what is possible with modern computer vision technology powered by Google ecosystem and turned to Codento. A study was conducted with the current state-of-the-art methods in computer vision.

Google Cloud Capabilities

Vertex
AutoML
Pre trained APIs
Big Query

How to Get Started

Data feasibility study for AI
Discovery and scoping session to identify pain points, best use cases and feasible approaches
Feasibility study or pilot project with a focused scope aimed at evaluating the practicality of the predictive care outcomes