AI Synapses

AI systems that see, decide and act.

Bluepolicy builds production-ready AI — from computer vision and energy platforms to agentic automation — designed for real operations.

  • From PoC to production deployment
  • Edge + cloud architectures
  • Architecture & quality: Germany-led, delivered by our global team

AI for real-world use.

Automation that works. Engineered in Germany.

Current Session
Power
38.25 kWh
Cost
€ 11.72
E-Mobility

MeruX

Clean billing for home charging – automatic, kWh-precise, audit-ready.

  • Auto-assignment: Car / User / Guest
  • Monthly PDF for HR/Finance
  • No meter photos, no Excel
Beta Soon
AUTO
SMB Marketing

Craftfluence

Get locally visible: AI turns job photos into posts, stories, and Google updates – automatically.

  • Connect: Instagram, Facebook, Google Business Profile
  • AI writes in your tone including call-to-action
  • Plans & publishes – no marketing know-how needed
In Development
ID: 14740
ID: 14803
JAM DETECTED
CAM_ID: 57
JAM_COUNT: 4
2025-12-23
10.22.100.18
Belt Status: STOPPED
Vision AI · Enterprise

JamDetect

Detects jams, blockages, and snags on conveyor belts in real-time – via camera and AI directly at the edge.

  • Output: Jam events per zone incl. timestamp & snapshot
  • Integration: REST, MQTT, OPC UA, Modbus TCP, digital I/Os
  • Benefit: fewer downtimes, faster response, transparency

Built from practice, not slides

Built from practice, not slides.

Practical Roots

Founded by a trained craftsman — we understand real workflows, machines and constraints.

Grounded in Germany

Founded in Siegburg, Germany — reliable delivery and long-term thinking.

Enterprise DNA

Enterprise DNA — engineered for regulated environments and resilient production systems.

Technology Partners

Nvidia
Axis
Dell Technologies
Background

Our Team

The neural network behind the innovation.

Experience
MicrosoftZoomPolyPlantronicsGeutebrück
Jens Schneider
JS-01ACTIVE

Jens Schneider

Founder & Managing Owner

STRATEGY
TRAINING_EPOCHS1,340
Experience
DHLGeutebrück
Chantal Schneider-Reifert
CS-02ACTIVE

Chantal Schneider-Reifert

Sales Manager

SALES
TRAINING_EPOCHS1,600
Krishna Sharma
KS-03ACTIVE

Krishna Sharma

AI Product Manager

PRODUCT
TRAINING_EPOCHS1,640
Neeraj S J
NS-04ACTIVE

Neeraj S J

Senior ML Engineer

ML/AI
TRAINING_EPOCHS1,750
Gireesh B M
GB-05ACTIVE

Gireesh B M

Senior Tester

QA
TRAINING_EPOCHS1,910
Prashanth D
PD-06ACTIVE

Prashanth D

Senior Dev-ops Engineer

DEVOPS
TRAINING_EPOCHS2,060
Rakshith N
RN-07ACTIVE

Rakshith N

Senior ML Engineer

ML/AI
TRAINING_EPOCHS2,200
Background

Latest Insights

Updates from the Bluepolicy team.

29. Dezember 2025

Edge AI – Intelligence at the Camera

Edge Computing Hardware
Edge AI: High-performance computing in compact form factors

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.

Read more

29. Dezember 2025

Vision Language Models – When Computers See AND Understand

AI Vision Technology
Vision Language Models: Bridging sight and language

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.

Read more

29. Dezember 2025

AI Agents & Agentic AI – The Future of Intelligent Automation

AI Neural Network
Agentic AI: From reactive assistants to autonomous agents

2025 marks a fundamental shift in artificial intelligence: Agentic AI – autonomous systems that don't just respond to queries but proactively plan, execute, and iterate on complex tasks without constant human guidance.

What are AI Agents?

AI Agents are autonomous systems that understand goals, develop plans, use tools, and work iteratively – all without step-by-step human instructions.

From Reactive AI to Proactive Agents

While traditional AI models respond to individual prompts, AI Agents go further:

  • Autonomous Planning: Breaking complex tasks into actionable sub-steps
  • Tool Usage: Independently calling APIs, databases, and external services
  • Iterative Learning: Adjusting strategy based on intermediate results
  • Multi-Agent Systems: Collaboration between specialized agents

Enterprise Use Cases in 2025

According to Gartner, 40% of enterprise workflows will include agentic AI components by 2025:

Autonomous Customer Support

Agents handling complete support tickets – from inquiry through resolution.

AI-Powered Sales & Marketing

Automated lead qualification, personalized outreach, campaign optimization 24/7.

Intelligent Quality Control

Vision-based agents detecting defects and suggesting preventive measures.

Agentic AI at bluepolicy

We leverage Agentic AI to elevate computer vision applications:

  • Adaptive Monitoring: Self-learning systems adjusting to changing conditions
  • Automated Reporting: From data capture to finished reports – fully automated
  • Predictive Maintenance: Identifying issues before they cause downtime

Ready for the Future of Automation?

Let's explore how Agentic AI can transform your operations.

Read more