NISO builds a modular autonomy stack for UGV platforms with fully offline, low-latency perception and situational awareness — optimized for NVIDIA Jetson Orin NX.
Jetson Orin NX Optimized , 30–60 FPS • <15ms Latency , 100% Offline Operation, Dual-Use • Defense-Grade & Civil
Responsible deployment note: NISO develops autonomy and perception technologies. Operational policies, compliance, and end-use decisions are defined by end-users and local regulations.
Process, energy, production, and quality data from your production processes are collected in real-time, accurately, and automatically.
It provides automatic data collection, real-time monitoring, quality, and productivity monitoring from various machines/devices on the production shop floor. These collected data provide a more realistic production planning and reduce costs.
Inception supports AI startups with developer tools and training, preferred pricing, partner offers, and go-to-market visibility. We’re building on Jetson-class edge AI and will actively use Inception resources to accelerate productization.
DLI courses/workshops to deepen Jetson deployment, CUDA/TensorRT optimization, and production inference workflows.
Access to SDKs, model libraries, and ecosystem offers aligned with our edge autonomy roadmap.
Jetson/hardware and select software preferred pricing to scale pilots and early deployments.
The data collection system contributes to real-time monitoring of efficiency and OEE values, instant calculation of energy costs, instant comparison of product quality values with limits, and management of production processes in a lean, efficient and traceable structure.
Co-marketing assets and ecosystem introductions to accelerate go-to-market.
Vortex AI Engine enables autonomous perception and navigation for UGV platforms in complex environments with secure, offline edge AI
Autonomous systems for critical operations: safe, intelligent, efficient, and dual-use (civil + defense-grade).
On-device AI perception with real-time throughput and low latency, without cloud dependence.
Market-ready UGV demo product showcasing end-to-end autonomy: perception → localization → planning → control.
Modular autonomy architecture aligned with edge robotics best practices and NVIDIA acceleration.
TensorRT Ready
Sensor Fusion
ROS 2
Embedded
Isaac Sim
Perception Models (On-Device)
Built for diverse industries: defense-grade security, SAR, industrial automation, agriculture, and specialized automotive.
Perimeter monitoring, situational awareness, and operation in GPS-denied or communications-limited environments.
Disaster-zone autonomy, terrain reconstruction, and safety-first detection for responders.
Autonomous logistics, inspection, and environmental mapping where offline edge inference is required.