Improve efficiency and productivity with MLOps
From the beginning, our Machine Learning projects rely on MLOps, which ensure better monitoring, validation and governance of machine learning models.
Monitor and retrain
We do model monitoring, automatically retraining Machine Learning models to adapt to sudden pattern changes or high performance variation and redeploying.
DevOps for ML
We work with Microsoft Azure, AWS and Google Cloud DevOps model, with additional features for monitoring the Machine Learning model. All the benefits of the DevOps culture like artifacts, pipelines and code versioning, also with MLOps.
With MLOps it is possible to reproduce and deploy new Machine Learning models faster, with efficiency, governance and security.
Leading global companies trust our work
We go further
Increase the model development and deployment
Explore ways to reach a new level of efficiency with machine learning workflow.
Aligning Machine Learning with Operations, you can have templates ready for playback, validation, deployment and retraining.
With MLOps your company constantly monitors variations in the machine learning model and adapts automatically.
We deliver solutions from the leading cloud providers on the market. Have the most advanced technologies from Microsoft Azure, AWS and Google Cloud in favor of your business.
We have a specialized and integrated team in the widest areas of Data Science, which delivers advanced solutions for Artificial Intelligence, Cognitive Services, Machine Learning, Internet of Things (IoT) and MLOps.