AUTONOMY · SMART AGRI

Operational software infrastructure for autonomy.

One edge-first stack for robotics, mobility, and smart agriculture operations.

Edge intelligence Deterministic edge runtime

Perception, planning, and control execute on-device for low-latency field operations.

Unified operations One operational model

Command, telemetry, analytics, and reporting share the same data and control model.

Deployment model Flexible deployment architecture

Deploy as SaaS, on-premise, or hybrid without changing the operating workflow.

ABOUT VIA

Building the operating layer for autonomous machines

VIA builds software infrastructure for autonomous systems and smart agriculture, connecting edge runtime, command operations, analytics, and audit workflows into one consistent system.

Platform architecture overview
Runtime
Edge execution and device control

Maintains on-device execution, control loops, and interface layers as shared product foundations.

Operations
Command, telemetry, and audit workflow

Connects operations console, event processing, logs, and verification under one control model.

Analytics
Schema-driven data processing

Structures sensor data, operational logs, and analytics outputs for reproducible processing.

Governance
Deployment and review discipline

Designs deployment scope and operational procedures based on security, compliance, and reporting requirements.

WHY VIA

Selection Criteria

Engineering decisions that prioritize reliability, auditability, and operational speed in production environments.

System architecture

Edge-First Architecture

Critical autonomy workloads run at the edge, reducing round-trip delay and cloud dependency for real-time operations.

EtherCAT 1kHz real-time control
Operational design

Unified Operation Stack

From onboard runtime to central command, one software stack governs heterogeneous machines with consistent control semantics.

15+ modules, single platform
Agriculture intelligence

Data-Driven Agriculture

Capture field data, generate growth analytics, and produce verification artifacts in a single, repeatable workflow.

Vision AI + automated reporting
Business impact

Operational Efficiency Baseline

Tracks task time, event miss rates, and report generation time against baseline to quantify operational efficiency.

100% automated audit trail
Rollout speed

8-Week Deployment

Standardized rollout phases cover environment setup, integration, validation, training, and production handover.

Structured 5-phase rollout
Infrastructure choice

SaaS or On-Premise

Use managed cloud, on-premise, or hybrid deployment with consistent operations and governance controls.

99.5%+ SLA guarantee
PRODUCTS

Four products, two domains.

Each product is designed as a composable layer in one operating architecture, not as an isolated application.

Autonomous Systems Edge autonomy core
EDGE SOFTWARE PLATFORM

VIA AXLE

Edge-based autonomous driving platform. Real-time sensor processing and decision-making executed directly on robots and vehicles.

A production-minded autonomy layer for machines that need fast local decisions, clean hardware integration, and low-latency control loops.

AMR UGV Autonomous vehicle pilot
ROS 2 Humble Jetson Orin NX EtherCAT 1kHz Docker
Autonomous Systems Fleet command layer
COMMAND & CONTROL

VIA COMMAND

Unified device command platform with 15+ modules. Monitor, control, and audit distributed robots and vehicles from a single console.

Reduces operational complexity by unifying orchestration, audit, and device visibility in one control model.

Mission control RBAC Operations audit
Bridge Scenario Audit · RBAC Event Streaming
Agriculture Systems Indoor cultivation OS
INDOOR FARMING

VERTIS

Controlled environment hydroponic operations system automating lighting, climate, and nutrient control.

Connects recipes, sensor data, and control logs for reproducible conditions and operational stability.

Hydroponics Climate control Yield consistency
6-Channel Spectrum PID Climate EC/pH Auto Vision AI
Agriculture Systems Field evidence suite
FIELD ANALYTICS

VIA GROVE

Growth analysis and verification suite. Collect, analyze, and validate orchard growth data to support informed cultivation decisions.

Connects field capture, measurement logic, and verification outputs so reporting is evidence-backed instead of manual.

Orchard analysis Validation packs Field reporting
Edge Capture Growth Metrics Validation Evidence Pack
SEE IT IN ACTION

Watch VIA in the field

From autonomous navigation to smart farm analytics — see how our platform operates in real-world environments.

VIA product demo scene

VIA platform in action — autonomous vehicle navigation, fleet monitoring, and smart farm management.

TRUSTED BY

Deployment References

TECHNOLOGY FOUNDATION

Edge-first tech stack

ROS 2 Humble NVIDIA Jetson Orin NX EtherCAT Docker Edge AI MQTT / TLS TensorRT PyTorch BehaviorTree.CPP Python 3.10 C++ 17 gRPC GraphQL OTA Pipeline
via-stack.yml
# VIA Autonomy Kit — Runtime Stack platform: NVIDIA Jetson Orin NX 16GB framework: ROS 2 Humble Hawksbill middleware: DDS + EtherCAT @ 1kHz deployment: Docker + OTA Pipeline ai_runtime: TensorRT 8.x + PyTorch 2.0 protocols: [MQTT/TLS, gRPC, REST, GraphQL] perception: LiDAR (SICK TiM571) + Depth (RealSense D455) realtime_io: Beckhoff EK1100 (EtherCAT)

Request Technical Review

Share your equipment config, interfaces, deployment constraints, and SLA targets. We'll respond with an applicable architecture and initial scope within 48 hours.

VIA Co., Ltd.

contact@viasoft.ai

604, Jeonju Innovation Startup Hub, 67 Yusang-ro, Deokjin-gu, Jeonju-si, Jeollabuk-do, South Korea