From Object Detection to Autonomous Intelligence : SeeWise AI's Vision Agents on NVIDIA's Unstoppable Platform

SeeWise Vision Agent powered by NVIDIA

In the ever-evolving landscape of artificial intelligence, NVIDIA's GPU Technology Conference (GTC) stands as a beacon of innovation, setting the pace for breakthroughs in AI, accelerated computing and edge deployment. Over the past few years, NVIDIA has introduced groundbreaking solutions that redefine how AI systems operate—from real-time perception to decision-making at the edge.

At SeeWise AI, we are at the frontier of this transformation. Our journey began with traditional object detection models, but as industries demand more intelligent automation, we are embracing an agentic approach, powered by a Retrieval-Augmented Generation (RAG) system. This shift requires immense computational power, making NVIDIA's GPU innovations a crucial enabler for our vision.

The Shift from Object Detection to Agentic AI

Manufacturing industries face growing challenges related to safety, efficiency, and real-time decision-making. Traditional object detection models, while effective in identifying objects, often lack contextual awareness and reasoning capabilities. This limitation led us to explore agentic AI—a paradigm where AI systems operate autonomously exploiting the multimodal understanding capabilities of Vision Language Models (VLMs), interact dynamically with the environment, and generate insightful actions rather than just predictions.

Our RAG system, comprising valuable insights derived from proprietary data over the years, enables real-time understanding and contextual decision-making by integrating vision language models with retrieval-based knowledge processing. This approach requires high-throughput, low-latency computing, especially when deployed in production sites where edge devices must function with minimal reliance on cloud processing.

NVIDIA's GTC: Powering the Next-Gen AI Revolution

Over the past 2-3 years, NVIDIA has consistently introduced technologies at GTC that align perfectly with our computational needs. Below are key innovations that have shaped our roadmap:

1. NVIDIA H100 and Grace Hopper Superchips

With the introduction of the H100 Tensor Core GPU, NVIDIA redefined AI model training and inference efficiency. Its Transformer Engine accelerates deep learning models, which is crucial for training our agentic AI systems on multimodal data. Additionally, the Grace Hopper Superchip, which combines the Grace CPU and Hopper GPU, delivers exceptional performance for retrieval-based AI tasks—ideal for our RAG-based workflows.

2. NVIDIA Jetson Orin for Edge AI

For real-time deployment in manufacturing sites, edge computing is paramount. NVIDIA's Jetson Orin NX and AGX Orin modules offer up to 275 TOPS of AI performance, allowing us to run vision models with on-device processing. These modules enable SeeWise AI to deploy RAG-powered AI agents that can monitor safety hazards, optimize workflow efficiency, and make autonomous decisions.

3. NVIDIA Metropolis for Smart Industries

NVIDIA Metropolis provides an AI-powered platform designed for vision-based automation. With its deep integration of TAO Toolkit and DeepStream SDK, we can streamline the deployment of AI-powered analytics across our industrial clients. This ecosystem enables low-latency streaming inference, essential for our safety monitoring and efficiency optimization use cases.

4. Omniverse and Digital Twins

At GTC 2023 and 2024, NVIDIA emphasized the power of Omniverse, a platform for creating digital twins of real-world environments. By leveraging Omniverse, SeeWise AI can simulate industrial workflows, optimize AI models before deployment, and reduce downtime in production environments. This plays a critical role in testing our agentic AI models in virtual replicas of real-world factories.

5. RAG and Generative AI Acceleration

NVIDIA's recent advancements in NeMo and Triton Inference Server have enhanced retrieval-augmented generation for vision-language models. With accelerated retrieval and reasoning capabilities, our RAG-powered AI agents can analyze historical safety data, retrieve contextually relevant insights, and provide proactive recommendations—all while running efficiently on edge GPUs optimized for inference workloads.

Meeting the Computational Demands of Vision AI

As we push the boundaries of AI-driven automation, our computational demands continue to grow. Training and deploying agentic AI models require:

• High-performance training infrastructure – Leveraging NVIDIA H100 for large-scale training of multimodal models.
• Efficient inference on edge devices – Running SOTA VLMs and RAG-powered decision-making on Jetson Orin NX.
• Real-time processing and analytics – Using Metropolis and DeepStream SDK to process multiple video feeds for live safety monitoring.
• Scalable digital twin simulations – Optimizing AI workflows in Omniverse before real-world deployment.

By adopting an NVIDIA-powered computing stack, we ensure that our solutions remain scalable, efficient, and capable of transforming industrial AI automation.

The Future of Vision AI at SeeWise AI

Looking ahead, we are committed to expanding our AI capabilities with NVIDIA's next-gen hardware and software innovations. Our goal is to develop self-improving AI agents that continuously learn from manufacturing environments, proactively prevent failures, and drive efficiency in industrial workflows.

With NVIDIA's GTC serving as the hub for AI breakthroughs, we are confident that the future of AI-driven manufacturing is brighter than ever. By combining our agentic AI approach with cutting-edge GPU computing, SeeWise AI is at the forefront of ensuring safety and improving efficiency in industrial settings.

Want to see SeeWise AI's Vision Agents in action? Contact us today to discover how our NVIDIA-powered platform can transform your manufacturing operations.