Dream about a better way to operate your factory using the future-proof technologies that drive intelligent decision making, accelerated time to output, and interconnected production lines. At Techling, we deal with large scale, efficient and smart systems that work on the concept of Industry 4.0. From custom Manufacturing software development to fully integrated Smart factory solutions, we help you streamline every layer of operations.
Our Manufacturing software development evolves with your business. If you keep a multi-lines plant or a chain of suppliers,
in-house production software, we develop the platforms which simplify the communication, automate the processes, and can be scaled endlessly. Your system also enables the efficient production process, shorter downtimes, and addresses the needs of growing manufacturing operations, designed on secure cloud infrastructure, and responsive design.
Read MoreTechling's Smart factory solutions bring efficiency to every corner of your plant.
We build mobile first applications in terms of monitoring of equipment, shift planning, inventory management, live reporting, and work order documentation. Technicians, line managers, operators and other personnel benefit with these applications which are designed to be easy to use to assist with their decisions on the floor and beyond.
Read MoreWe design intuitive control interfaces through our Industrial automation software, enabling teams to monitor and adjust processes in real-time.
Out of the box sensor support, machines and robotics add live production data, automated notifications, predictive maintenance and use of automation to all our systems to create more production without having as many manual interventions.
Read MoreThrough Manufacturing data analytics, Techling helps manufacturers transform raw shop floor data into strategic insights.
Our dashboards provide real-time view of the machine performance data, throughput rates, defect rates, and resource utilisation. By measuring your results with clearly defined indicators and analysis of previous reports, you will locate bottlenecks, minimize waste and make quicker, evidence-based decisions.
Read MoreTechling implements AI in manufacturing to drive automation and smart forecasting.
Whether it comes to predictive maintenance, quality control, supply chain optimization, and demand forecasting, our AI models can keep manufacturers on top of a breakdown, overproduction, and supply shocks, so proactive planning and the continuous improvement process are possible.
Read MoreCoupled with the UI/UX design, Techling develops products that conform to needs of industrial settings.
An operator dashboard, supervisor control panel, or the mobile inspection app, our designs are clean and narrow and designed to require minimal training. Our tools have a focus on in-practice tools with quick navigation, prominent visuals, and usable designs to promote speed and accuracy across the screens.
Read More
Step 1
Do you need a Machine Tracking, reports automation, machine monitoring, or shop floor optimization system? Tell us what you can not do or what you can do only slowly-we will hear you.
Step 2
We will schedule a brief call to learn how you work, what challenges you encounter, how your factory is organized and what systems you already work with or want to get rid of.
Step 3
After the call, you can expect a clear build plan, milestones, schedule of the delivery, price estimate, and all tech specs with no fluff and facts only.
Step 4
As soon as you give the green light, we begin development--wiring your tools, including the connection of machines, and setting the stage of your faster, smarter production line.
Node.js: Powers real-time machine monitoring dashboards and production updates.
Python: Supports AI tools for predictive maintenance, quality checks, and resource planning.
Java: Runs secure, enterprise-grade systems for large-scale manufacturing operations.
PHP: Used to build plant admin panels, HR tools, and internal reporting systems.
Ruby: Ideal for rapid development of MVPs like inventory trackers or maintenance request apps.
HTML5: Builds responsive manufacturing portals for production tracking and shift management.
CSS3: Styles machine dashboards, inventory displays, and operations panels.
JavaScript: Adds interactivity to production timelines, workflow tracking, and analytics pages.
TypeScript: Ensures secure, scalable interfaces for plant management and control systems.
AWS : Hosts secure production data, equipment logs, and analytics tools at scale.
Microsoft Azure: Integrates with IoT devices, edge computing, and smart factory networks.
Google Cloud Platform (GCP): Powers live manufacturing analytics and forecasting tools.
DigitalOcean: Handles lean deployments for plant-level applications and pilot systems.
Microservices Architecture – Separates modules like production control, inventory, scheduling, and QA.
Monolithic Architecture –Suitable for compact, all-in-one manufacturing apps.
Serverless Architecture –Supports fast actions like alert notifications, downtime logging, or order dispatch.
Event-Driven Architecture –Handles status changes, machine alerts, and material tracking in real time.
Express.js: Builds APIs for managing work orders, machines, and process data.
Django: Supports plant-wide dashboards and reporting tools.
Spring Boot: Drives enterprise platforms for end-to-end manufacturing management.
Laravel: Powers resource planning panels, admin tools, and performance logs.
Next.js / Nuxt.js: Enables fast, SEO-ready portals for suppliers, teams, or operations updates.
Webpack : Optimizes dashboard and control panel loading for factory operators.
Gulp : Automates UI updates for production monitoring tools.
Grunt: Streamlines testing and deployments for manufacturing apps.
Babel: Ensures browser compatibility across all manufacturing systems.
TensorFlow : Powers predictive models for downtime prevention and production optimization.
PyTorch: Builds smart forecasting systems for supply chain and demand planning.
Pandas : Analyzes operational data, efficiency metrics, and machine output trends.
Scikit-learn: Helps identify process anomalies and maintenance needs.
OpenCV: Used for defect detection, part recognition, and visual inspections.
D3.js : Creates interactive factory floor layouts, process flows, and performance charts.
Chart.js Visualizes production metrics, shift efficiency, and defect ratios.
Highcharts: Displays live KPIs like output, downtime, and machine cycles.
Tableau (Integration): Offers plant managers deep insights into trends, resources, and production goals.
PostgreSQL :Stores production logs, scheduling data, and equipment history.
MySQL:Manages structured plant data like inventory and resource usage.
MongoDB: Handles flexible records like maintenance logs or machine configurations.
Redis: Caches sensor data and supports real-time production updates.
Firebase: Powers live communication and updates for shift reporting and issue tracking.
Flutter : Builds apps for floor staff, maintenance crews, and production supervisors.
React Native: Speeds up delivery of mobile solutions for inventory or machine tracking.
Swift : Builds iOS apps for engineers, technicians, or plant managers.
Kotlin: Powers Android tools for QA checklists, performance logging, and alerts.
Xamarin : Offers cross-platform apps for real-time shop floor monitoring.
Visual Studio Code: Used to build everything from IoT dashboards to ERP integrations.
GitHub / GitLab / Bitbucket: Manages version control for production and factory systems.
Docker: Ensures consistent deployments across environments.
Jenkins / GitHub Actions: Automates updates and testing pipelines for factory tools.
Postman: Tests APIs for machinery, resource management, and system integrations.
Node.js: Powers real-time machine monitoring dashboards and production updates.
Python: Supports AI tools for predictive maintenance, quality checks, and resource planning.
Java: Runs secure, enterprise-grade systems for large-scale manufacturing operations.
PHP: Used to build plant admin panels, HR tools, and internal reporting systems.
Ruby: Ideal for rapid development of MVPs like inventory trackers or maintenance request apps.
HTML5: Builds responsive manufacturing portals for production tracking and shift management.
CSS3: Styles machine dashboards, inventory displays, and operations panels.
JavaScript: Adds interactivity to production timelines, workflow tracking, and analytics pages.
TypeScript: Ensures secure, scalable interfaces for plant management and control systems.
AWS : Hosts secure production data, equipment logs, and analytics tools at scale.
Microsoft Azure: Integrates with IoT devices, edge computing, and smart factory networks.
Google Cloud Platform (GCP): Powers live manufacturing analytics and forecasting tools.
DigitalOcean: Handles lean deployments for plant-level applications and pilot systems.
Microservices Architecture – Separates modules like production control, inventory, scheduling, and QA.
Monolithic Architecture –Suitable for compact, all-in-one manufacturing apps.
Serverless Architecture –Supports fast actions like alert notifications, downtime logging, or order dispatch.
Event-Driven Architecture –Handles status changes, machine alerts, and material tracking in real time.
Express.js: Builds APIs for managing work orders, machines, and process data.
Django: Supports plant-wide dashboards and reporting tools.
Spring Boot: Drives enterprise platforms for end-to-end manufacturing management.
Laravel: Powers resource planning panels, admin tools, and performance logs.
Next.js / Nuxt.js: Enables fast, SEO-ready portals for suppliers, teams, or operations updates.
Webpack : Optimizes dashboard and control panel loading for factory operators.
Gulp : Automates UI updates for production monitoring tools.
Grunt: Streamlines testing and deployments for manufacturing apps.
Babel: Ensures browser compatibility across all manufacturing systems.
TensorFlow : Powers predictive models for downtime prevention and production optimization.
PyTorch: Builds smart forecasting systems for supply chain and demand planning.
Pandas : Analyzes operational data, efficiency metrics, and machine output trends.
Scikit-learn: Helps identify process anomalies and maintenance needs.
OpenCV: Used for defect detection, part recognition, and visual inspections.
D3.js : Creates interactive factory floor layouts, process flows, and performance charts.
Chart.js Visualizes production metrics, shift efficiency, and defect ratios.
Highcharts: Displays live KPIs like output, downtime, and machine cycles.
Tableau (Integration): Offers plant managers deep insights into trends, resources, and production goals.
PostgreSQL :Stores production logs, scheduling data, and equipment history.
MySQL:Manages structured plant data like inventory and resource usage.
MongoDB: Handles flexible records like maintenance logs or machine configurations.
Redis: Caches sensor data and supports real-time production updates.
Firebase: Powers live communication and updates for shift reporting and issue tracking.
Flutter : Builds apps for floor staff, maintenance crews, and production supervisors.
React Native: Speeds up delivery of mobile solutions for inventory or machine tracking.
Swift : Builds iOS apps for engineers, technicians, or plant managers.
Kotlin: Powers Android tools for QA checklists, performance logging, and alerts.
Xamarin : Offers cross-platform apps for real-time shop floor monitoring.
Visual Studio Code: Used to build everything from IoT dashboards to ERP integrations.
GitHub / GitLab / Bitbucket: Manages version control for production and factory systems.
Docker: Ensures consistent deployments across environments.
Jenkins / GitHub Actions: Automates updates and testing pipelines for factory tools.
Postman: Tests APIs for machinery, resource management, and system integrations.
30% Faster Infrastructure Design
99.9% Data Accuracy
50% Increase in User Engagement
3X Faster Backend Performance
Regarding Manufacturing Industry we at Techling know that what you choose to work with can make or mar your innovation plans. We aim to provide strategic, practical, and cost-effective software to bring value and a competitive edge to every company.
Scale your tech team with expert IT professionals and developers through our staff augmentation model, delivering the right skills to accelerate your project’s success.
Build a team of passionate experts who focus solely on your project, providing personalized solutions that align with your business goals and drive results.
Empower your business with innovative digital solutions that streamline processes, boost efficiency, and position your business for long-term success.
Move into a future-proof business model with Techling’s cutting-edge Ml Ops Development. Whatever the size of your company, we have scalable and dependable solutions to take your business to the next level. Join a results-focused ML Ops Development Company that believes in innovation and functionality.
At Techling, we specialize in elevating efficiency and
achieving cost savings in the mobility and healthcare
industries through our custom Al and ML software
solutions. We are committed to delivering exceptional results with a 100% satisfaction guarantee and a promise of ontime delivery. Partner with us to leverage the power of Al and ML, and take your business to
new heights
