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As an AI service company, we accompany our clients throughout the entire AI lifecycle, end-to-end, from problem set-up to deployment and monitoring in production.
We have learned from our extensive experience that this integrated approach ensures optimized timelines and a quick return on investment (ROI).

In 10 years working in the field and completing over 100 projects, we have designed AI-based solutions for our clients that allowed them to streamline QC operations on manufacturing lines, provide support for medical diagnoses, and optimize production processes.

Our working method is based on years of ongoing research:

The importance of going ‘out to the field’ as soon as possible, to come in contact with the variability of the real world and have it represented in our models. We promote early deployment of AI in production, verification of results with production data, and immediate creation of value.

The essential role played by the careful fine-tuning of AI models and the curation of data used for training, testing and validation.

The importance of continuously monitoring AI systems to evaluate their performance in production, reduce risks, prevent drifts, and implement active learning and continuous improvement.

The need for governance procedures to be in place to support the use of AI systems in critical contexts.

As an AI service company, we support our systems from the start to the last mile, so that artificial intelligence can be integrated into business processes in a way that is reliable, monitored and continuously improving.

At Oròbix, we offer this service through invariant.ai®, our deployment, monitoring and governance platform for AI systems. Invariant.ai can reduce the time to value (TTV) of AI systems, maximize ROI, and guarantee conformity and reliability in all business contexts that involve artificial intelligence.
Our team of data scientists monitors the behavior of AI systems in real time through monitoring algorithms that assess reliability, safety and security during pre-deployment auditing as well as in process.
Our clients can thus use AI in a way that is safe, reliable and constantly monitored, and fully leverage the potential of their data.