Linker Vision offers an AI platform for developing and deploying agentic and physical AI solutions that transform visual data into actionable insights. The platform utilizes synthetic data generation, advanced model training, and real-time inference to optimize operations in smart cities and enterprises, enhancing areas like traffic management and worker safety.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to derive actionable insights from complex visual data streams, hindering their ability to optimize operations in areas like traffic management, worker safety, and disaster response. Existing solutions often lack the capability for continuous learning and real-time adaptation required for dynamic environments.
Solution
Linker Vision provides an end-to-end AI platform for developing, training, and deploying agentic and physical AI solutions. The platform leverages synthetic data generation via NVIDIA Omniverse and Cosmos for robust simulation, coupled with advanced data curation and model training using NVIDIA NeMo and TAO. This enables the deployment of large-scale Vision-Language Models (VLMs) through NVIDIA NIM for real-time inference. By transforming visual data into actionable insights, the platform empowers smart cities and enterprises to enhance traffic flow, improve industrial safety protocols, and streamline emergency response operations.
Target Audience
The primary customers are smart city initiatives, urban planning departments, and enterprises in sectors such as transportation, industrial safety, and emergency management seeking to leverage AI for operational optimization.
Features
- **Mirra™ (Simulation):** Generates synthetic data for AI model training using NVIDIA Omniverse and NVIDIA Cosmos.
- **DataVerse™ (Training):** Facilitates data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO.
- **Observ™ (Deployment):** Enables large-scale deployment of Vision-Language Models (VLMs) via NVIDIA NIM for real-time inference.
- **Agentic AI Capabilities:** Supports the development of AI agents that can perceive, reason, and act within physical environments.
- **Physical AI Integration:** Focuses on AI applications within physical spaces, such as smart cities and industrial settings.
- **Continuous Learning Framework:** Designed for ongoing model improvement and adaptation to evolving data patterns.
- **Scalable Infrastructure:** Built to handle large volumes of visual data and complex AI model deployments.