AI TOOLKIT
Empowering Bio-Industries with Data-Driven Intelligence
What it is?
The CLARUS AI Toolkit is an integrated MLOps platform designed to manage the complete lifecycle of artificial intelligence models in time-critical bio-production environments. It supports the development, deployment, monitoring and continuous improvement of AI models by combining edge and cloud infrastructures with secure and interoperable data management. The toolkit provides a practical framework to apply data-driven intelligence to optimise industrial production and logistics processes while ensuring transparency, traceability and scalability.
What it is for?
The CLARUS AI Toolkit is intended for industrial stakeholders in the bio-production and food processing sectors seeking to deploy AI solutions in real operational settings. It also targets AI developers, technology providers and system integrators responsible for building, maintaining and scaling machine learning models, as well as researchers working on advanced AI architectures, MLOps practices and industrial data spaces.
Benefits
By implementing end-to-end MLOps practices, the CLARUS AI Toolkit enables automated and reproducible AI workflows, improves model reliability and supports efficient orchestration between cloud-based training and edge-based inference. It enhances model traceability through monitoring and versioning mechanisms, facilitates scalable execution through containerised deployments and ensures secure data and model exchange in line with data sovereignty principles.
Status
The CLARUS AI Toolkit has reached a functional prototype level and has been validated through real industrial use cases within the CLARUS project. It demonstrates a complete and operational MLOps workflow and serves both as a demonstrator and a reference architecture for organisations aiming to adopt artificial intelligence in time-critical bio-production scenarios.
Applications
The toolkit supports the full artificial intelligence lifecycle, covering data ingestion, model training, validation, deployment, inference and performance monitoring, as well as continuous retraining to address model degradation and concept drift. Automated workflow orchestration enables parallel and scalable execution across distributed infrastructures, while reusable templates facilitate the integration of new AI models and applications in industrial environments.
Access
The CLARUS AI Toolkit is available as a project-developed software prototype and reference implementation. Its source code, technical documentation and usage guidelines are provided through the official CLARUS project repositories and deliverables, supporting reuse, adaptation and further exploitation beyond the lifetime of the project.
Find your place here
Policy
Our tool is transparent, ethical, and complies with European data sovereignty regulations.
Research
Access the open MLOps framework and technical documentation to deploy scalable AI systems.
