The customer receives a structured audit report with a rating per criterion, identified weaknesses and prioritized recommendations for optimization and risk mitigation. For a Deep Audit, the report also includes own test results, metrics and quantified findings.
Open for anyone
Test and validation AI-based agents to reconfigure the production system, optimize processes, and propose various scheduling scenarios.
Robot and automation Provider
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A documented validation of the tested technology, including measurement data, analysis of motion and performance, and recommendations for optimization, safety assessment, or further automation.
Robotics Manufacturing AI developers
A documented assessment of feasibility, expected benefits, and relevant application areas for mobile robots in the customer’s facilities, including recommendations for further clarification, pilot activities, or implementation.
Manufacturing, Factory-Level Optimisation, Human-Robot Interaction, Warehousing and internal logistics, Other companies needing mobile robot solutions
Demonstrate applicability of the solution for manufacturing industry and fulfilling needs of multiple users – SMEs from manufacturing industry
Furthermore, as a result of the experiment, the client receives a comprehensive evaluation report outlining the performance and feasibility of the proposed robot automation solution for client’s specific use cases.
The report provides clear conclusions on whether the solution meets the client’s needs, including its ability to operate across multiple machines without requiring additional programming or reconfiguration for each new setup.
AI-User - manufacturing companies that operate in high-mix, low-volume settings or constantly changing parts and need flexibility in their production processes
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
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
Feasibility report
Manufacturers and generally SME experimenting with navigation, safety functions, influence and disturbance variables
Proof of Concept
Companies/SMEs with a concrete implementation idea without a proof of concept
Increase SMEs confidence in AI-based solutions
Machine and robot Providers Manufacturers needing a support to garanty the reliabilty of AI based solution in production context
A comprehensive report including:
Manufacturing, Logistics, Automation, Robotics, AI Development, Warehousing, Industrial Automation.
High-quality, real-world datasets suitable for training, validation, and benchmarking of robotic AI models, with known ground truth and experimental conditions.
Manufacturing industries, Phisical AI companies
Validation of system performance against agreed test scenarios and evaluation criteria
Identification of performance limitations, weaknesses and relevant failure cases
Recommendations for improvement of the AI algorithm, system integration or robotic cell operation
Validation report summarising the test setup, performed tests, results and recommended improvements
Robot manufacturers, robotic cell providers and system integrators for manufacturing applications
A documented safety assessment of the mobile robot or robotic solution, including identified risks, recommendations for improvement, and input for further development, testing, or CE marking. This assessment reduces compliance risk and shortens CE marking approval time by up to 50 percent, leveraging DTI test methods proven across multiple industrial mobile logistics and manufacturing deployment projects.
Manufacturing, Factory-Level Optimisation, Human-Robot Interaction, Robotics and automation, Other sectors using mobile robots and service robots