Addiguru
Real-Time Monitoring for Additive Manufacturing.
Overview
Addiguru provides an AI-powered, in-situ monitoring solution for the additive manufacturing process. It uses computer vision and machine learning to detect defects and anomalies in real-time during a print, reducing waste and improving quality. While it is a critical tool for the additive manufacturing ecosystem and works with parts created by generative design, it is not a generative design tool itself. Its function is process monitoring and quality control, not part design or optimization.
✨ Key Features
- Real-time defect detection
- AI and Machine Learning based analysis
- Layer-by-layer monitoring
- Process monitoring and analytics
- Reduced material waste and print failures
🎯 Key Differentiators
- Plug-and-play system that can be retrofitted to different machines
- Affordable and accessible solution
- AI-driven approach to defect detection
Unique Value: Makes additive manufacturing more reliable and cost-effective by providing real-time, AI-based monitoring and quality control.
🎯 Use Cases (4)
✅ Best For
- Detecting printing flaws like delamination and material shortages in real-time.
- Providing actionable insights to improve printing processes.
- Reducing the need for post-build inspection and CT scanning.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users looking to design or optimize a part.
- Any application outside of in-process monitoring for additive manufacturing.
🏆 Alternatives
Offers a more affordable and machine-agnostic solution compared to the proprietary, often expensive, monitoring systems offered by some machine manufacturers.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Varies tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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