N-iX designs hybrid and multimodal computer vision architectures that unite classical vision methods, Deep Learning, large language models, and generative AI. This approach combines the deterministic precision of traditional algorithms with the contextual understanding and reasoning capabilities of modern AI systems. By fusing multiple data modalities, such as images, video, text, and sensor streams, we help enterprises move from visual detection to full-scale interpretation and decision automation.
- Enhanced precision through integration of rule-based and deep learning models
- Broader contextual understanding enabled by multimodal LLM reasoning
- Stronger generalization on complex, real-world datasets
- Reduced model training time with synthetic data and generative augmentation
- Improved interpretability and explainability for business users
- Real-time adaptability across image, video, and sensor data streams
- Seamless integration with analytics platforms, IoT systems, and automation pipelines
