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Aixo LabAixo Lab

Manufacturing Software Development Company

We design and develop industrial software, smart factory platforms and manufacturing systems that improve production efficiency, visibility and operational performance.

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  • Engineering-First
  • Industry 4.0-Ready
  • Scalable Industrial Architecture
  • Real-Time Visibility
  • Long-Term Maintainability
Estimated timeline
Typically 10–16 weeks for a first production release
Platforms
Web · Factory Dashboard · IoT Integration
Tech stack
React · Node.js · PostgreSQL · AWS
Digital Manufacturing Challenges

The real business case for manufacturing software

Manufacturers don't invest in software because Industry 4.0 is a buzzword — they invest because disconnected machines, manual tracking, and reactive maintenance have a real cost in downtime, waste, and missed output. Software pays for itself when it maps to a specific, measurable improvement on the shop floor.

  • Production Visibility

    Real-time visibility into what's actually happening on the floor, not a report generated a day after the fact.

  • Inventory Control

    Accurate, real-time inventory data that reflects what's actually on the floor and in the warehouse, not a spreadsheet updated by hand.

  • Machine Monitoring

    Direct visibility into machine status and performance, catching problems before they become downtime.

  • Quality Management

    Quality data captured and tracked as part of the production process itself, not a separate paper-based system.

  • Maintenance

    Maintenance scheduling and tracking built around actual equipment condition, not a fixed calendar that ignores real usage.

  • Production Planning

    Planning software that reflects real capacity and constraints, not a static schedule disconnected from the floor.

  • Operational Efficiency

    Software built around how a specific plant actually operates, not a generic system that fights the real workflow.

Manufacturing Software Development Services

Manufacturing software development services

From a single production dashboard to a full manufacturing execution system — the services that make up a real industrial engagement.

Manufacturing ERP

Resource planning systems built around a plant's actual operations, not a generic ERP forced to fit manufacturing.

MES

Manufacturing execution systems that connect planning, the shop floor, and quality data in one system.

Production Dashboards

Real-time dashboards that give operations and leadership direct visibility into what's actually happening on the floor.

Warehouse Integration

Warehouse systems connected cleanly to production and inventory data, not a disconnected standalone tool.

Maintenance Platforms

Maintenance tracking and scheduling built around actual equipment condition and usage history.

Quality Systems

Quality tracking built into the production process itself, capturing data at the point it's actually generated.

IoT Integrations

Machine and sensor data brought into a structured system, not siloed in equipment-specific dashboards.

Industrial AI

AI-driven features built directly into production and quality systems, not delivered as a separate disconnected tool.

Predictive Maintenance

Maintenance scheduling driven by actual equipment data and usage patterns, not a fixed calendar.

Business Automation

Manufacturing workflows that automate the repetitive parts of planning, tracking, and reporting.
Industrial Solutions We Build

The kind of industrial software we build

A handful of concrete examples — every engagement is scoped around your own plant, not a template.

Manufacturing Execution Systems

Systems that connect planning, the shop floor, and quality data into a single operational view.

Production Monitoring

Real-time monitoring of production status, throughput, and machine performance across the floor.

Factory Dashboards

Operational dashboards that give leadership and floor teams direct visibility into the metrics that matter.

Inventory Platforms

Real-time inventory systems that reflect what's actually on the floor and in the warehouse.

Warehouse Systems

Warehouse platforms connected cleanly to production and inventory data across the operation.

Maintenance Systems

Maintenance tracking and scheduling systems built around actual equipment condition and history.

AI Quality Inspection

AI-powered quality inspection tools that support quality teams with the data they need at the point of production.

Industrial Analytics

Operational and machine data turned into something leadership and floor teams can actually act on.
Industry 4.0 & Smart Factory

Engineering for the connected factory

The technical building blocks that separate a genuinely connected, data-driven plant from a factory running on disconnected systems.

IoT

Sensor and machine connectivity that brings floor data into a structured system, not a siloed vendor dashboard.

Machine Data

Structured, reliable data architecture for the machine and sensor data a smart factory depends on.

Predictive Analytics

Operational and machine data turned into forecasts that support planning and maintenance decisions.

Digital Twins

Digital representations of physical processes designed around how a specific plant actually operates.

Industrial AI

AI-driven features built directly into production, quality, and maintenance systems.

Automation

Manufacturing workflows that automate the repetitive parts of planning, tracking, and reporting.

Real-Time Monitoring

Direct, real-time visibility into machine status, production, and quality data across the floor.
Development Process

How we build manufacturing software

The same disciplined process behind every engagement, from the first architecture decision to long-term support.

  1. 01
    Discovery

    Understand the actual operational problem, floor workflow, and constraints before any technical decision is made.

    Output:
    A scoped problem definition and a clear view of what the system actually needs to do.
    Client involvement:
    Sharing the real production workflow, equipment, and constraints the system has to work within.
  2. 02
    Architecture

    Design the system's data model, machine and sensor integration points, and scaling strategy before a single screen is built.

    Output:
    An architecture decided deliberately, not discovered halfway through development.
    Client involvement:
    Reviewing the proposed architecture and flagging integration requirements with existing equipment and systems.
  3. 03
    UX/UI Design

    Design interfaces around how floor operators, supervisors, and planners actually complete their workflow.

    Output:
    Interface designs validated against real user workflows before development begins.
    Client involvement:
    Reviewing designs against how real floor and planning teams will actually use the system.
  4. 04
    Development

    Build the system — typed, tested, and reviewed — with the same engineering discipline as any other production software.

    Output:
    Production-grade code with CI gates that actually block a bad merge.
    Client involvement:
    Visible progress through working builds and a direct line to the engineers building it.
  5. 05
    Testing

    Test the system against real production workflows, machine data, and edge cases before it reaches the floor.

    Output:
    A tested system with known, documented behavior under real usage conditions.
    Client involvement:
    Testing key workflows directly and providing feedback before rollout.
  6. 06
    Deployment

    Ship the system to production with monitoring, backups, and a real rollout plan in place.

    Output:
    A live system with the operational tooling needed to run it safely on the floor.
    Client involvement:
    Agreeing on the release plan and rollout strategy for real production use.
  7. 07
    Continuous Improvement

    Monitor real usage and iterate — a manufacturing system's requirements don't stop the day it ships.

    Output:
    A system that keeps improving against real usage data, not a static deliverable handed off and forgotten.
    Client involvement:
    Reviewing usage and priorities together as the plant and its requirements evolve.
Technology Stack

Built on a modern, production-grade stack

Every technology here is a deliberate choice, not a default — selected for the specific system it's used in.

React

Component-based interfaces for the dashboards and floor-facing tools manufacturing systems depend on.

Next.js

A production-grade React framework for server-rendered dashboards and platforms that need real performance.

Laravel

A mature PHP framework for the backend a manufacturing system runs on, where its ecosystem and conventions fit the project.

Node.js

A JavaScript backend runtime for API layers and services that benefit from sharing a language with the frontend.

PostgreSQL

A production-grade relational database for systems where data integrity and structured production records matter.

Redis

Caching, queues, and session storage for systems that need to stay fast under real production floor traffic.

AWS

Production cloud infrastructure for hosting, scaling, and securing the platform at real traffic volume.

Docker

Containerized, reproducible environments from local development through to production deployment.

REST APIs

A well-understood, widely supported integration standard for connecting the system to machines and third-party services.

GraphQL

A query layer for systems where clients need precise, flexible access to exactly the data a given view requires.

OpenAI

Model integration for manufacturing systems that need AI-powered features built in, not bolted on as a separate product.

IoT Integrations

Structured connectivity to machine and sensor data, designed around the specific equipment a plant actually runs.
Why Aixo Lab

Why manufacturers choose Aixo Lab

  1. Engineering-First Mindset

    Every engagement starts with real architecture — data model, machine integration, and scaling strategy decided before the first screen is built, not discovered halfway through.

  2. Scalable Industrial Platforms

    Architecture built to handle real growth in machines, sensors, and data, designed for where the system is headed, not just where it starts.

  3. Long-Term Maintainability

    We design for the team that maintains this system in two years, including when that's your own in-house engineers — documentation and handover are part of the deliverable.

  4. Enterprise Architecture

    Systems designed to fit into a manufacturer's existing infrastructure, security requirements, and operational reality.

  5. Modern Software Engineering

    The same engineering discipline behind any production software — typed, tested, and reviewed code, not a one-off industrial script.

  6. Transparent Communication

    Direct access to the engineers building your system, with visible progress throughout — not a project manager relaying status secondhand.

FAQ

Frequently asked questions

Representative Solutions

What this looks like once built

Reference architectures from our Representative Solutions collection that show these ideas in practice.

Manufacturing Control Center
Representative Solution

Manufacturing Control Center

Manufacturing
Smart Warehouse Management System
Representative Solution

Smart Warehouse Management System

Logistics Software
AI Operations Platform
Representative Solution

AI Operations Platform

Operations & AI
Discuss your project's scope

Ready to build your manufacturing platform?

Tell us what you're building — we'll tell you honestly what it would take to architect and build it properly.

No sales pressure. Just a direct technical conversation.

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