Edge AI • Smart Maintenance • Sustainability

The future of industrial maintenance

Decentralized AI directly at the machine

Task²nitter enables real-time machine intelligence, automatic service task generation, sustainable maintenance strategies, and seamless integration with ERP, SCADA, and existing industrial systems.

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Real-time local machine analysis

Automatic maintenance recommendations

Task history and service planning

ERP and SCADA integration

↓ Downtime Proactive planning and faster maintenance response

↑ Efficiency Energy-aware maintenance and resource optimization

24/7 Local intelligence

Machines analyze their own conditions in real time at the edge.

Lower Maintenance cost

Proactive planning reduces breakdowns, waste, and emergency service.

Clear Task history

Every recommendation and service action becomes measurable and reviewable.

ERP-ready Industrial integration

Connect with higher-level systems and existing operational workflows.

Platform overview

Everything Task²nitter brings to intelligent maintenance

From local edge intelligence to centralized planning, sustainability metrics, and ERP integration, Task²nitter is designed as a full industrial maintenance platform.

Challenge

Problem in industry with AI-supported maintenance

Maintenance is often reactive, fragmented, or based only on fixed intervals.
Central AI systems are too slow, costly, or inflexible for real production environments.
Retrofitting existing plants with centralized AI is complex and expensive.
Data privacy and complex AI models slow down deployment.

Mobile assets and sustainability metrics are often ignored.
There is usually no structured task distribution to service technicians.

Solution

Our solution: Decentralized AI and smart maintenance

Task²nitter uses Edge AI modules directly at the machine.
Each machine analyzes its own data locally in real time.
The system automatically creates recommendations and maintenance tasks.
All task information flows into a central management and planning tool.

Every action is stored in task history for evaluation and optimization.
Data can be transferred to ERP, SCADA, and higher-level systems.

Benefits

Benefits for customers and operators

Higher machine availability and reduced downtime.
Lower maintenance costs through proactive planning.
Transparent maintenance history and measurable processes.
Improved energy efficiency and CO₂ balance.

Longer system lifespan and faster ROI.

Stakeholders

Stakeholders and benefits within the company

Service department: real-time status and automated deployment planning.
Managers: optimized resource allocation and maintenance scheduling.
Purchasing: earlier planning and lower storage costs.
Finance and management: better visibility into cost, energy, and CO₂.

Sales: stronger differentiation and innovation value.

Architecture

System architecture and components

Machine-level AI modules with Edge AI hardware.
Central Task²nitter management and planning tool.
Mobile app for service technicians.
Communication via OPC UA, MQTT, TCP/IP, LAN, WLAN, and LoRa.

Cloud-based or local server deployment.
Interfaces for SAP, Pro Alpha, Microsoft Dynamics, and more.

Sustainability

Sustainability and efficiency

Task²nitter considers both technical and ecological conditions.
Energy consumption can be optimized during operation.
Material and spare-parts usage can be reduced.
CO₂ can be calculated, tracked, and reduced.

Maintenance strategies become more sustainable over the full asset lifecycle.

Integration

Integration and compatibility

Seamless integration with common ERP and service platforms.
Open communication standards such as OPC UA and MQTT.
LAN, WLAN, and LoRa support.
API-based exchange across system boundaries.

Secure decentralized data processing and mobile technician workflows.

Market

Business potential and investor perspective

Scalable for virtually any production environment.
Retrofittable for existing industrial assets.
Strong market pull from edge AI, Industry 4.0, and sustainability trends.
Energy savings and lower operating costs create a clear USP.

The platform is ready to expand across regions and partner ecosystems.

Outlook

Conclusion and outlook

Task²nitter is the next generation of intelligent maintenance systems.
It combines decentralized AI, sustainability, and economic efficiency.
It offers short-term ROI and strong long-term value.
It can be integrated and retrofitted into nearly any production process.

Architecture

Built for industrial environments, not just dashboards

Task²nitter combines machine-level analysis, centralized coordination, technician mobility, and open industrial communication standards into one scalable architecture.

Edge AI at the machine

Each machine runs local analysis to enable real-time maintenance decisions.

Fast local processing
Reduced central dependency
Better privacy and flexibility

Central planning platform

Recommendations, tasks, and history are brought together for scheduling and evaluation.

Task history
Planning and allocation
Cross-machine visibility

Open integration layer

Task²nitter fits into real operations through industrial protocols and ERP interfaces.

OPC UA, MQTT, TCP/IP
LAN, WLAN, LoRa
SAP, Pro Alpha, Dynamics

Ready to modernize maintenance with decentralized AI?

Task²nitter helps operators reduce downtime, improve energy efficiency, coordinate technician tasks, and integrate smart maintenance into existing industrial workflows.

Start with Task²nitter