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MAJiK Systems

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About

MAJiK Systems provides an Industry 4.0 software platform designed to bridge the gap between manual manufacturing processes and data-driven digital operations. The platform functions by connecting directly to existing factory equipment, such as PLCs and SCADA systems, to capture real-time data without requiring expensive hardware overhauls or disruptive PLC reprogramming. By centralizing this information, the tool offers a comprehensive Visual Factory view, allowing teams to monitor Key Performance Indicators (KPIs) and operational health across entire facilities from a single dashboard. The system’s core functionality revolves around its IIoT Connect and AI-driven insights, which work together to identify bottlenecks and predict equipment failures before they result in costly downtime. Through continuous data analysis, MAJiK helps manufacturers streamline their operations by tracking quality issues, reducing scrap, and minimizing give-aways. This proactive approach enables maintenance and operations teams to transition from reactive fixes to predictive maintenance, ensuring that production lines remain active and efficient. This solution is specifically tailored for plant managers, operations directors, and continuous improvement specialists within the manufacturing sector, particularly those in high-stakes industries like automotive and machining. Because it integrates with 90% of existing industrial control systems, it is ideal for facilities looking to modernize their infrastructure without the long lead times typically associated with digital transformation. Unlike many competitors that require proprietary hardware, MAJiK focuses on software-led integration that can be deployed in less than three weeks. What differentiates MAJiK Systems is its emphasis on speed and scalability. The platform provides out-of-the-box dashboards that deliver immediate value, yet it remains configurable to meet the specific needs of growing businesses. By combining real-time monitoring with advanced AI for continuous improvement, the software does not just show what is happening on the floor; it provides the actionable intelligence needed to drive Overall Equipment Effectiveness and achieve operational excellence across multiple sites.

Pros & Cons

Deployment is exceptionally fast, with most facility integrations completed in under three weeks.

Offers broad compatibility by connecting to 90% of existing PLC and SCADA systems without reprogramming.

Requires no additional hardware, minimizing the initial capital investment and physical footprint.

Predictive maintenance features allow teams to address equipment issues before they cause total breakdowns.

Real-time KPI dashboards empower staff at all levels to make data-driven decisions on the floor.

Pricing information is not transparently listed and requires a custom quote and consultation.

The platform is specialized for manufacturing, making it less suitable for other industrial sectors like logistics.

Full utilization of AI insights may require a baseline of historical data to be effective.

Use Cases

Plant managers can use real-time dashboards to visualize factory floor KPIs and identify production bottlenecks as they happen.

Maintenance engineers leverage predictive data to fix machinery before failure, reducing unplanned downtime across the facility.

Continuous improvement specialists analyze scrap and loss data to optimize production quality and increase overall equipment effectiveness.

Operations directors at multi-site manufacturers can unify data from disparate PLC systems into a single centralized monitoring platform.

Platform
Web
Task
manufacturing analytics

Features

predictive maintenance alerts

real-time kpi monitoring

quality control tracking

scalable data integration

ai for continuous improvement

out-of-the-box dashboards

bottleneck analysis

iiot connect for plcs/scada

FAQs

How quickly can MAJiK Systems be integrated into a factory?

Integration is designed to be fast and painless, with most setups completed in less than three weeks. This speed is achieved because the software connects to existing systems without requiring new hardware.

What types of industrial systems can the software connect to?

MAJiK's software is highly compatible, connecting to approximately 90% of existing PLC and SCADA systems. It works with standard industrial devices to turn machine data into actionable insights.

Does installing the system require production downtime?

No, the installation process does not require equipment downtime or PLC reprogramming. The software plugs into your existing infrastructure, allowing for a smooth transition to digital manufacturing.

How does the AI component help with continuous improvement?

The AI for CI tools analyze production data to predict and fix breakdowns before they occur. It also helps identify bottlenecks and quality issues, such as scrap and give-aways, to optimize overall productivity.

Pricing Plans

Enterprise
Unknown Price

Visual Factory KPI monitoring

IIoT Connect for PLCs

Predictive maintenance alerts

Quality control tracking

Bottleneck analysis

Customizable dashboards

Scalable integration support

Access to MAJiK Academy

Job Opportunities

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MAJiK Systems

Backend Software Developer

Optimize manufacturing performance by connecting factory floor data to real-time analytics, helping plant managers reduce downtime and improve equipment efficiency.

engineeringhybridWaterloo, CAfull-time

Benefits:

  • Competitive package

  • Comprehensive benefits

  • Generous vacation

  • Potential equity

  • Growth & learning funding

Experience Requirements:

  • Proficiency in TypeScript, Python, or Go

  • Experience with micro-services and REST/GraphQL APIs

  • Experience with event-driven architectures

  • Familiarity with containerization (Docker/Kubernetes)

  • Experience with cloud platforms (AWS, Azure, or GCP)

Other Requirements:

  • Curiosity for modern tech

  • AI/ML enthusiasm

  • Collaborative mindset

  • Clear communication

  • Bonus points for manufacturing systems/IoT

Responsibilities:

  • Design, build, and scale cloud-native services

  • Own features end-to-end

  • Collaborate with agile team

  • Develop AI-driven capabilities

  • Champion DevOps best practices

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