Facile Technolab builds & modernize customized MES, ERP, QMS and PLM manufacturing software for niche industry segment use cases on Microsoft .NET and Azure. Using Microsoft .NET, Azure, and AI where it fits, our teams design and build & modernizes web and cloud applications customized to your plants, processes, and systems.
Every factory runs a different mix of machines, systems, and processes. Off-the-shelf software rarely matches that reality. Facile Technolab works with manufacturing companies that need custom-built applications to connect people, equipment, and data—without replacing everything they already have.
Our engineers specialize in Microsoft .NET and Azure and focus on operations-heavy scenarios: shop-floor visibility, production and quality tracking, integration with ERP and legacy systems, and analytics. We do not sell a ready-made MES; we design and develop software projects that are built around your workflows and growth plans.
Design and build cloud-native products and platforms talilored to manufacturing industry.
See how it works →Migrate legacy .NET, classic ASP, PHP, and ColdFusion applications to secure, scalable .NET 10 and Azure solutions with minimal disruption.
See how it works →Embed AI capabilities into your existing business operation to achieve operational excellence in.
See how it works →Below are common categories of custom solutions we develop for manufacturers. Each project starts from your requirements and is implemented as a bespoke .NET and Azure application or service.
Custom web applications that let operators log production, downtime, and issues in real time, and give supervisors a clear view of what is happening on each line or cell. These tools are built to match your routing, product structures, shifts, and reporting needs.
Services and APIs that collect data from machines, PLCs, or existing OT systems and push it into Azure for storage and analysis. We build the software layer that lets you use this data in dashboards, reports, or future AI initiatives without forcing a specific hardware stack.
Browser-based tools that help planners and team leaders manage work orders, priorities, and capacity, and share plans with the shop floor. These applications integrate with your ERP or order system, but reflect the reality of your production constraints and sequencing rules.
Dashboards and reports built on Azure and .NET that bring together data from ERP, production logs, machines, and quality systems. They are designed around the KPIs your leaders and supervisors care about—such as throughput, scrap, OEE, and on-time delivery.
Lightweight systems to manage ECNs/ECOs, document revisions, approvals, and controlled distribution of drawings/specs. Ensures production always uses the latest approved version and supports audit readiness.
Operator-focused screens for SOPs, work instructions, checklists, safety steps, and skill-based guidance—optimized for terminals/tablets on the floor. Combine with acknowledgements, version control, and role-based access to reduce process deviation.
See how we built a custom MES that increased OEE by 22% and reduced unplanned downtime by 45% for a precision component manufacturer.
AI is most useful when it is embedded into your existing tools. As part of our custom development services, we add targeted AI capabilities to manufacturing applications where they can clearly support decisions or remove manual work.
All AI work is done on top of Microsoft technologies—using .NET, Azure, and Azure AI services—so it fits into your existing architecture and security model.
Manufacturers partner with Facile Technolab when they need a software team that understands both Microsoft technologies and operations-heavy environments.
Custom ERP development to handle manufacturing operations for a company in Australia
Our process is designed to respect plant realities while still moving projects forward at a predictable pace.
Facile Technolab helps manufacturers modernize operations with custom-built software that fits real plant workflows—not generic templates—delivered on Microsoft .NET and Azure for security, scalability, and long-term maintainability.
Build a Manufacturing Execution System (MES) that matches how your plants actually run—routing, shifts, rework loops, approvals, and reporting—without forcing a rip-and-replace of ERP or legacy tools. We develop custom MES and shop-floor applications on Microsoft .NET and Azure to capture production events in real time, unify data from operators and machines, and provide a single source of truth for supervisors, operations, and IT.
Transformation Driven: Converts fragmented spreadsheets and manual logs into an integrated execution layer that improves visibility, standardizes reporting, and enables automation—so IT can scale across multiple sites with consistent security, governance, and maintainability.
Move from reactive breakdowns to reliability engineering with a predictive maintenance platform that combines condition monitoring, maintenance workflows, and (when data maturity allows) machine learning models. We build Azure-native data pipelines that collect sensor/OT signals, normalize asset data, and trigger automated maintenance actions—while integrating with existing CMMS/ERP/legacy maintenance systems.
Transformation Driven: Builds a scalable reliability foundation—data + workflows + integrations—so maintenance becomes proactive, downtime becomes measurable and preventable, and IT can expand capabilities without being locked into a single vendor stack.
Unify procurement, inventory, WIP movement, warehousing, and dispatch into a single operational flow by building custom supply chain and logistics applications that integrate with your ERP—while filling the gaps ERP typically can’t handle on the shop floor. We implement barcode/RFID workflows, exception-driven approvals, and automated status updates so planners, stores, production, and dispatch operate from the same data.
Transformation Driven: Replaces email-driven coordination and siloed spreadsheets with automated, integrated execution—improving on-time dispatch, reducing working-capital waste, and giving IT a clean integration layer that scales as sites and SKUs grow.
Embed quality into daily execution by building a QMS that digitizes inspections, non-conformance management (NCR), corrective/preventive actions (CAPA), and audit trails—then optionally adds computer vision for high-volume or high-risk inspection points. We design the QMS around your quality gates, control plans, and compliance requirements, and integrate it with MES/ERP so quality isn’t a separate silo.
Transformation Driven: Turns quality from a periodic auditing function into an integrated, automated system connected to production and traceability—reducing escapes, accelerating investigations, and giving IT a governed platform that can scale across products and plants.
Theoretical benefits are persuasive, but documented results are undeniable. Our approach to building bespoke AI-enabled software is rigorously tested and proven on the factory floor, delivering quantifiable returns on investment and transformative operational shifts. The following case study exemplifies our commitment to partnering with manufacturers to solve complex challenges and achieve measurable, bottom-line impact.
Building custom software for the manufacturing industry involves several key steps. Start by conducting a thorough analysis of the industry's specific needs and processes.
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Find answers to common queries about our custom software development services for manufacturing businesses.
.NET Core provides the robust, secure, and high-performance backend needed for complex data processing and integration with factory machinery and IoT sensors. React.js offers a fast, dynamic, and highly responsive frontend for real-time dashboards and monitoring, creating a perfect stack for modern, web-based Manufacturing Execution Systems (MES) and Industrial IoT (IIoT) platforms.
Custom software leverages AI and predictive maintenance algorithms to analyze equipment sensor data. This allows you to identify potential failures weeks in advance, schedule maintenance during planned outages, and avoid costly unplanned downtime, which can save manufacturers millions annually.
We utilize cutting-edge technologies like cloud-native architecture, containerization, .NET Core, Angular, React.js, and more.
Off-the-shelf software often requires you to change your processes to fit the software. A custom solution is built to fit your unique operational workflows, integrates seamlessly with your existing machinery and legacy systems (like ERP or PLCs), and scales precisely with your business needs, providing a far better long-term ROI.
We implement robust security measures including encrypted data transmission (SSL/TLS), secure device authentication, role-based access control (RBAC) within the application, and regular vulnerability assessments. Data privacy and protecting your intellectual property are foundational to our development process.
Yes, seamless integration is a core specialty. We use various methods (APIs, OPC UA, custom middleware) to connect modern .NET Core and React applications with legacy equipment, PLCs, SCADA systems, and ERPs like SAP, Oracle, or Microsoft Dynamics, ensuring a unified data flow across your operation.
We follow an agile, collaborative process that begins with a deep discovery phase to understand your unique challenges. We then build iterative prototypes, allowing for continuous feedback and ensuring the final product delivers maximum value and aligns perfectly with your operators' needs on the shop floor.
We employ a rigorous QA process that includes unit testing, integration testing (ensuring all systems work together), and performance/load testing to simulate high-volume data from factory floors. We also conduct User Acceptance Testing (UAT) with your team to ensure usability and functionality.
Timelines vary based on scope and complexity. A minimum viable product (MVP) for a specific process can be delivered in 3-4 months. A full-scale, enterprise-grade MES system typically takes 6-12 months to develop, test, and deploy comprehensively.
AI and ML are transformative for manufacturing. Key applications include predictive maintenance (forecasting machine failures), computer vision for automated quality inspection, digital twins for process simulation, and AI-driven demand forecasting for supply chain optimization.
Absolutely. We offer comprehensive managed services and support plans that include routine maintenance, performance monitoring, security patches, and updates to ensure your system remains secure, stable, and continues to perform optimally long after launch.
A custom supply chain management system aggregates data from suppliers, inventory, production, and logistics into a single dashboard. This provides end-to-end visibility, enables real-time tracking of materials, predicts disruptions, and allows for proactive decision-making, reducing costs and improving resilience.
We have extensive experience across multiple verticals, including discrete manufacturing (automotive, aerospace, electronics), process manufacturing (food & beverage, chemicals, pharmaceuticals), and complex assembly, building solutions tailored to each industry's specific regulatory and operational requirements.
We focus on measurable KPIs to calculate ROI, including: reduction in unplanned downtime, decrease in scrap/rework rates, improvement in OEE (Overall Equipment Effectiveness), labor productivity gains, inventory reduction, and overall equipment utilization increases. We work with you to establish a baseline and then track these metrics post-deployment.
Theory and case studies set the stage, but your results are what matter most. Let's move from concept to concrete ROI. Schedule a free, no-obligation consultation with our manufacturing software specialists to discuss your specific challenges and define a clear path to a smarter, more efficient, and profitable operation.
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