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Autonomous Vehicle

Vortex AI Engine
Edge Autonomy for Critical Operations

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.

Collecting Data & Real Time Monitoring

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.

Why NVIDIA Inception is a strong fit

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.

We already meet baseline requirements:
  • At least one developer on the team
  • Working company website
  • Official incorporation (required for application)
  • Startup age < 10 years

Training & Guidance

DLI courses/workshops to deepen Jetson deployment, CUDA/TensorRT optimization, and production inference workflows.

Developer Tools

Access to SDKs, model libraries, and ecosystem offers aligned with our edge autonomy roadmap.

Preferred Pricing

Jetson/hardware and select software preferred pricing to scale pilots and early deployments.

Brand & Market Reach

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.

Machine & Process Automation

Co-marketing assets and ecosystem introductions to accelerate go-to-market.

Product Overview

Vortex AI Engine enables autonomous perception and navigation for UGV platforms in complex environments with secure, offline edge AI

Vision

Autonomous systems for critical operations: safe, intelligent, efficient, and dual-use (civil + defense-grade).

Core Differentiator

On-device AI perception with real-time throughput and low latency, without cloud dependence.

Near-Term Deliverable

Market-ready UGV demo product showcasing end-to-end autonomy: perception → localization → planning → control.

Technical Snapshot

Modular autonomy architecture aligned with edge robotics best practices and NVIDIA acceleration.

Perception
LiDAR + Stereo camera understanding for terrain & object awareness

TensorRT Ready

Localization
Encoder + IMU + RTK GPS fusion (when available)

Sensor Fusion

Planning
Global routing + local avoidance; convoy/safety-aware strategies

ROS 2

Control
Ackermann steering + speed control via STM32 layer

Embedded

Simulation (in progress)
Isaac Sim integration to accelerate testing & validation

Isaac Sim

Perception Models (On-Device)

  • Hole / Pit Detection
    Stereo depth + segmentation for precise terrain risk detection
  • High-Risk Object & Anomaly Detection (Defense-Grade)
    Robust object recognition for hazardous environments (dual-use scenarios)
  • Human Detection (Occlusion/Camouflage Robust)
    Enhanced safety and situational awareness in complex scenes

Markets & Use Cases (Dual-Use)

Built for diverse industries: defense-grade security, SAR, industrial automation, agriculture, and specialized automotive.

Defense-Grade Security

Perimeter monitoring, situational awareness, and operation in GPS-denied or communications-limited environments.

Search & Rescue

Disaster-zone autonomy, terrain reconstruction, and safety-first detection for responders.

Industrial

Autonomous logistics, inspection, and environmental mapping where offline edge inference is required.

12-Week Inception Application Timeline

Weeks 1–2
Preparation
  • Finalize pitch deck
  • Update website & LinkedIn
  • Highlight Orin NX + Vortex AI
Week 3
Submission
  • Submit application
  • Upload pitch deck
  • Complete technical/company fields
Weeks 3–12
Evaluation → Onboarding
  • Respond to follow-ups
  • Activate portal benefits
  • Preferred pricing & ecosystem programs
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