Our software is designed to help you maximize the potential of your AI initiatives. The following videos provide an overview of each feature of the Management Suite, showing how they can optimize your AI processes and enhance your business operations.
Data-driven use case planning from idea to use case
Our Feasibility Calculator evaluates critical factors like Data Readiness, Model Deployment, and overall deployment ease on a 1-5 scale. It helps you to identify the use cases with the highest potential. The Value Calculator calculates the potential value of each AI use case (ROI) and provides clear metrics to effectively demonstrate the impact on the business.
Simpler risk classification of your AI use cases
Our new AI assistant simplifies identifying your risk class. It will suggest an answer and provide its reasoning based on the AI Act and the use case description you provided. This helps ensure your AI initiatives align with regulatory requirements, streamlining the compliance process. Additionally, high-risk use cases can be reconsidered or modified in an early stage to fit a lower risk category, reducing compliance costs and legal obligations.
Inspire employee innovation through transparency
Our Management Suite ensures clear visibility and transparency across all your AI projects. Your team members can filter the use cases by task or technology, access detailed information on economic viability, risk classification, and technical feasibility, and connect with the responsible contacts for further collaboration.
Optimized AI compliance
Complying with the EU AI Act and other regulations requires significant time and resources. Our AI Compliance Management feature structures and documents compliance obligations from both regulations and custom policies and provides a comprehensive list of required measures. This system ensures that all compliance rules are met, reducing effort and keeping users audit-ready.
Integration with your existing IT Systems
Integrate our Management Suite with your existing IT infrastructure for seamless data management and analysis through robust APIs. Collect data efficiently from multiple sources, including MLOps platforms, experiment-tracking tools, and data catalogs, to enhance insights and streamline AI project workflows.