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AInspector

The AI Assistant for Industry 5.0

The Needs in Industry 5.0

Business Intelligence Limitations

AInspector - Presentazione (2)

No real-time
monitoring

AInspector - Presentazione (3)

Usage
complexity

AInspector - Presentazione (4)

Hard management
of Big Data

AInspector - Presentazione (5)

No
forecasting

AInspector Technology

LLMs
(Large Language Models)

USER-FRIENDLY
INTERACTION

ML
(Machine Learning)

ACCURATE
PREDICTIONS

KGs
(Knowledge Graphs)

TRACKABLE
INFORMATION

AInspector supports Personnel

MANAGER

Production Planning

Predictive Maintenance

Quality Control

Warehouse Management

Energy Saving

TECHNICIAN

Job Configuration

Machine Monitoring

Anomaly Detection

Technical Interventions

Document Consultation

AInspector in your Factory

AInspector's Features

Value
extraction from
your data

Analysis and forecasting for efficiency optimization
and sustainability

Domain
specific
knowledge

More targeted and relevant advice compared to ‘generalist’ AI

Privacy and
security
compliance

Accurate management of personal data and
sensitive information

User
Friendly
UX

Quick responses, integrated data visualization tools (Grafana, Power BI, Tableau, Superset), and
customization to evolving
business needs

FAQ

AInspector provides a comprehensive analysis of production processes, offers intelligent insights, predicts process evolution, and identifies optimal settings based on relevant KPIs. This supports managers and operators in their daily decision-making to enhance efficiency and reduce operational costs.

AInspector brings competitive advantages by integrating with systems such as ERP, MES, WMS, PLM, CMMS, and SCADA. Its flexibility in integration ensures a seamless transition and harmonious collaboration with the systems already in use in your company.

AInspector significantly contributes to production analysis, suggesting optimal work planning and dynamically adapting to unforeseen events. It helps identify delays in cycle times, control product quality, and predict energy consumption, providing a comprehensive and informed view of production.

AInspector is essential for predictive maintenance intervention planning. By detecting anomalies and predicting potential failures, it allows managers to schedule maintenance based on crucial constraints such as technician availability and economic considerations.

AInspector identifies anomalies related to inventory levels, delays in deliveries, and discrepancies between orders, tasks, and inventory. Managers can rely on it to optimize warehouse management and ensure an efficient supply chain.

Operators can optimally configure jobs, choosing parameterizations that best align with the KPIs they aim to optimize. AInspector enables them to monitor machine operations in real-time, detect anomalies, and provide clear instructions for resolution.

AInspector immediately detects anomalies in images sent by technicians during maintenance. It retrieves crucial information directly from manuals, ensuring a prompt and effective response.

AInspector analyzes operators’ queries in natural language, provides information about the ‘deadline’ based on constraints imposed by attributes, and returns an accurate prediction as a response.

We tackled the issue of ‘hallucination’ by allowing users to explore AInspector’s decision-making process through data visualization tools like Grafana or Power BI and provide feedback for continuous improvement over time.

AInspector is accessible through instant messaging apps such as Telegram or WhatsApp and via smart speakers like Alexa or Google Assistant. Additionally, we provide visual support through data visualization tools, enabling users to understand and interact with AInspector intuitively.