Lower energy consumption, reduced operational costs, optimized resource allocation, minimized energy waste, and enhanced sustainability through actionable insights and predictive analytics.
Manufacturing & Automotive - Providers of AI based solutions for manufacturing
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Providers of AI based solutions
Quantitative assessment of model performance in real-world conditions, including robustness, stability, precision, failure modes, and readiness for industrial deployment.
Manufacturing industries, Phisical AI companies
A pilot concept and prototype of an industrial robot setup with documented test results, technical recommendations, and next steps toward successful implementation.
Manufacturing, Factory-Level Optimisation, Robotics and automation, Assembly and handling, Other industrial sectors with a need for robot-based automation
The ability to test operational scenarios without impacting actual production, reduced operational risks, optimized machine operating conditions, improved production planning, support for engineering decisions, and increased efficiency in the design and management of industrial assets.
Manufacturing & Automotive - Providers of AI based solutions for manufacturing
The customer receives a structured audit report with a rating per criterion, identified process and governance gaps, and recommendations for improvement and risk mitigation. For a Deep Audit, the report also includes evidence-based findings, a gap analysis and an action plan. The audit assesses whether the organization’s processes and management structures are suitable for meeting applicable requirements. It does not assess the quality of individual datasets or the technical properties of specific AI models and does not perform the organization’s risk management activities on its behalf.
Open for anyone
Enhanced real-time monitoring of product performance, reduced downtime through early detection of issues, improved operational efficiency, and proactive maintenance triggered by alerts.
Manufacturing & Automotive - Providers of AI based solutions for manufacturing
Analysis of the existing production-planning problem, available data and relevant constraints
Optimised production plan or scheduling approach for the agreed manufacturing use case
Comparison of alternative production schedules against agreed planning criteria
Identification of opportunities to improve resource utilisation and reduce manual planning effort
Recommendations for further implementation or integration of the AI-based planning approach
Technical report summarising the planning model, evaluated scenarios, results, identified limitations and recommended next steps
Manufacturing companies, production-planning solution providers and system integrators seeking to optimise production schedules, machine and resource utilisation, production capacities or internal logistics using AI-based and optimisation methods.
A documented test of generative AI-supported robot programming, including generated code examples, evaluation of efficiency and usability, and recommendations for further application, validation, or integration into robot development workflows.
Manufacturing, Robotics and automation, Machine builders, System integrators, Industrial software and digital engineering
Comprehensive PoC report documenting interoperability, connectivity and compatibility test outcomes, including executed scenarios, KPIs, validation results, and proposed improvements for industrial deployment.
Technology providers seeking to validate or enhance interoperability, connectivity, and compatibility of their digital or hardware solutions in AIMEN’s semi‑industrial manufacturing environments.
Technical report documenting integration, interoperability, and performance of digital platform components or cybersecurity tools within AIMEN’s digital infrastructure, including configuration guidelines.
Technology providers seeking to test, validate and integrate digital platform modules and cybersecurity solutions in AIMEN’s industrial digital infrastructure.
Validation report including vision test cases, accuracy and robustness metrics, interoperability results, and configuration guidelines for deployment in industrial vision environments.
Technology providers developing machine‑vision solutions requiring integration support and validation in industrial vision environments.