
KI-Systeme, die sehen, entscheiden und handeln.
Bluepolicy entwickelt produktionsreife KI — von Computer Vision und Energieplattformen bis hin zu agentischer Automatisierung — für den realen Betrieb.
- Vom PoC bis zum Produktivbetrieb
- Edge- und Cloud-Architekturen
- Architektur & Qualität: Germany-led, umgesetzt mit unserem internationalen Team
KI für die Praxis.
Automatisierung, die funktioniert. Engineered in Germany.
MeruX
Laden zuhause sauber abrechnen – automatisch, kWh-genau, audit-ready.
- Auto-Zuordnung: Auto / Nutzer / Gast
- Monats-PDF für HR/Finance
- Kein Zählerfoto, kein Excel
Craftfluence
Werde lokal sichtbar: KI macht aus Auftragsfotos Posts, Stories und Google-Updates – automatisch.
- Connect: Instagram, Facebook, Google Business Profile
- KI schreibt in deinem Ton inkl. Call-to-Action
- Plant & veröffentlicht – ohne Marketing-Know-how
JamDetect
Erkennt Staus, Blockaden und Verklemmer auf Förderbändern in Echtzeit – per Kamera und KI direkt am Edge.
- Output: Jam-Events pro Zone inkl. Zeitstempel & Snapshot
- Integration: REST, MQTT, OPC UA, Modbus TCP, digitale I/Os
- Nutzen: weniger Stillstände, schnellere Reaktion, Transparenz
Technologie mit Praxis-DNA
Gebaut aus Praxis, nicht aus Slides.
Praxis-Wurzeln
Gegründet von einem gelernten Handwerker — wir verstehen reale Abläufe, Maschinen und Randbedingungen.
Gegründet in Deutschland
Gegründet in Siegburg — verlässliche Umsetzung und langfristiges Denken.
Enterprise DNA
Enterprise DNA — gebaut für regulierte Umgebungen und verlässliche Produktivsysteme.
Technologie-Partner




Unser Team
Das neuronale Netzwerk hinter der Innovation.

Jens Schneider
Gründer & Geschäftsführer

Chantal Schneider-Reifert
Sales Manager

Krishna Sharma
Computer Vision Lead

Neeraj S J
Senior ML Engineer

Gireesh B M
Senior Tester

Prashanth D
Senior Dev-ops Engineer

Rakshith N
Senior ML Engineer

Neueste Einblicke
Updates vom Bluepolicy Team.
6. Januar 2026
Meru Simplifies EV Charging: A Game Changer for Workplace Fleets
Transform your EV charging experience with Meru's automated solution for hassle-free compliance, reporting, and cost management.
Estimated reading time: 5 minutes
As the electric vehicle (EV) revolution accelerates, organizations face a growing necessity to optimize their charging strategies, especially with the ongoing shift in regulations across Europe. In Germany, where the landscape of EV charging and reimbursement is rapidly changing, the challenge is not just about providing charging infrastructure, but also about ensuring compliance and efficiency in managing charging costs. Enter Meru, a pioneering application that is reshaping how companies handle EV charging, making it not only easier but also more financially transparent for users and administrators alike.
Streamlining Compliance with Automated Tracking
Meru’s platform provides a robust solution for companies looking to navigate the complexities of Germany’s reimbursement regulations for EV charging. By automating the tracking of wallbox charging sessions, Meru eliminates the manual burden of ensuring compliance. It connects directly with MID-certified meters to offer precise monitoring of electricity consumption, guaranteeing accurate documentation that aligns with the regulations. This means users can charge their vehicles at home or at work without worrying about the accuracy of their expense claims.
Dynamic Pricing and Cost Transparency
One of the standout features of Meru is its ability to handle dynamic electricity pricing effectively. Unlike conventional charging solutions, which often rely on static pricing, Meru’s application takes real-time tariff rates into account. This flexibility ensures that employees only pay for the electricity they consume, leading to increased cost savings. Vehicles equipped with integrated displays report actual consumption data, providing clarity on spending and thereby enhancing user trust in the reimbursement process.
Tax-compliant Reporting for Enhanced Efficiency
Meru goes a step further by generating tax-compliant monthly reports automatically. This feature not only saves time for employees—eliminating tedious manual calculations—but also strengthens companies’ fleet management capabilities. Employers can easily integrate this reporting with payroll systems, which streamlines the reimbursement process and provides a comprehensive overview of fleet expenditures. This capability is especially valuable for organizations managing multiple company cars across various locations.
Centralized Fleet Management for Decision Makers
With Meru, decision-makers gain access to a centralized dashboard that simplifies fleet management. This transparency allows employers to monitor usage patterns, manage costs, and make informed decisions about the future of their EV fleets. As the push for sustainable practices intensifies, such tools are invaluable for organizations aiming to enhance their green credentials while ensuring operational effectiveness.
A Bright Future for EV Charging Solutions
As the demand for EVs continues to rise, solutions like Meru will play a crucial role in making the transition to electric mobility smoother for businesses and their employees. By simplifying charging management and compliance, Meru not only enhances the user experience but also aligns with the broader goals of sustainability and efficiency in the corporate sector. The future of workplace charging looks promising, and Meru is leading the charge.
Key takeaways
- - Automates EV charging compliance with German regulations.
- - Integrates with MID-certified meters for precise consumption tracking.
- - Supports dynamic pricing for accurate cost reimbursement.
- - Generates tax-compliant monthly reports to simplify payroll integration.
- - Centralizes fleet management for better decision-making in organizations.
- - Enhances user experience by streamlining charging at home and work.
Conclusion
In a world where electric vehicles are becoming the norm, innovative solutions like Meru's application are essential for simplifying the complexities of EV charging in the workplace. By embracing automation, dynamic pricing, and compliance management, businesses can foster a more sustainable and efficient environment for their employees, paving the way for a greener future. As companies continue to adapt to new regulations, Meru is well positioned to lead the charge towards smarter EV management.
Tags: Electric Vehicles, EV Charging, Fleet Management, Sustainability, Corporate Compliance
29. Dezember 2025
Edge AI – Intelligence at the Camera
In a world demanding real-time responses and data sovereignty, Edge AI is becoming essential. Moving intelligence directly to the data source – the camera – is revolutionizing industrial applications.
Edge AI by the Numbers
<10ms latency vs. 100-500ms cloud | 100% local data processing | 90% reduced bandwidth
Why Edge AI?
- Real-time Processing: Milliseconds instead of seconds response time
- Data Privacy: Sensitive data never leaves the premises
- Cost Efficiency: No cloud fees, minimal bandwidth requirements
- Reliability: Works offline – no internet dependency
Leading Edge AI Platforms 2025
NVIDIA Jetson Family
Jetson AGX Orin: Up to 275 TOPS, 15-60W power
Jetson AGX Thor: 2,070 FP4 teraflops, 128GB memory
Best for: Multi-camera systems, robotics, industrial automation
Google Coral
Edge TPU: 4 TOPS at only 2W power consumption
Best for: Low-power IoT, battery-operated devices
Intel OpenVINO + NCS2
Myriad X VPU: Flexible model optimization
Best for: Retrofitting existing x86-based infrastructure
Edge AI at bluepolicy
Our edge solutions deliver the best of both worlds:
- Hybrid Architecture: Real-time inference locally, complex analytics in the cloud
- Over-the-Air Updates: Update models remotely without on-site visits
- Model Optimization: Quantization and pruning for maximum performance
- Industrial Housing: IP67-rated enclosures for harsh environments
Typical Savings with Edge AI
90% less bandwidth | 60% lower cloud costs | 95% faster response
Edge AI for Your Project
We help you select optimal hardware and develop custom edge solutions.
29. Dezember 2025
Vision Language Models – When Computers See AND Understand
The boundaries between Computer Vision and Natural Language Processing are dissolving. Vision Language Models (VLMs) mark a paradigm shift: from simple object detection to genuine image understanding.
The Difference
Classic CV: "Object detected: screw"
VLM: "M8 stainless steel screw with damaged threading on the third turn, likely caused by over-torquing."
What Makes VLMs Different
VLMs combine three core components to handle visual tasks through natural language:
- Visual Encoder: Processes images into meaningful representations
- Language Model: Understands queries and generates human-readable responses
- Fusion Layer: Bridges visual and textual understanding
Leading VLMs in 2025
GPT-4.1 / GPT-4o
Improved analysis of charts, diagrams, and visual mathematics
Best for: Real-time multimodal analysis, enterprise applications
Claude 3.5 Sonnet
Exceptional precision in visual descriptions
Best for: Technical documentation, detailed inspections
Gemini 2.0
Native video understanding and temporal reasoning
Best for: Video analysis, motion detection, process monitoring
LLaVA-NeXT / Qwen2-VL
Open-source models for on-premise deployment
Best for: Data-sensitive applications, air-gapped environments
Industrial Applications
At bluepolicy, we integrate VLMs for:
Quality Control
Clear descriptions: "Surface scratch (12mm length, 0.3mm depth), upper right quadrant. Severity: Medium. Recommendation: Re-polish."
Safety Monitoring
Context-aware analysis: "Person entering restricted zone. No safety vest detected. Warning triggered."
Discover VLM Capabilities
See how Vision Language Models can transform your image analysis.