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Manufacturing Software Development Services

There is now a surprising number of operational details in the manufacturing industry that you can automate or optimize with custom software – both on the factory floor and outside. The big bundle of challenges that inventory management, resource allocation, machinery maintenance, compliance, sales and logistics present is easier to disentangle with interconnected digital tech.


We provide tailored software solutions for manufacturing companies that go beyond the traditional ERP system scope and incorporate AI and IoT in strategically defined use cases to increase efficiency and reduce waste along the way.

domain top image
<50%
less downtime w/predictive maintenance
~15%
less energy consumed due to digital tools
7-13h
per week saved w/automated scheduling
$440B
manufacturing digitalization market value
↓38%
excess inventory with custom solutions

Manufacturing Software Solutions and Services We Provide

What we can do as a manufacturing software development company
A good MES will not just control the production process and provide performance metrics but also connect the factory floor to the back office and the warehouse. We design MES that help optimize workflows across departments, where most waste can typically be eliminated.
We help create various types of solutions that handle task sequencing, resource allocation and minimize idle time. Proper application of tech capacities allows to adjust schedules in real-time for optimal use of assets.
CAQC solutions use computer vision and statistical tools to detect product defects early in the manufacturing process. In this way, you can improve consistency and reduce scrap rates.
We use our expertise in both IoT and AI/ML to create systems that leverage sensor data to forecast when equipment will need attention, thus reducing unplanned downtime and extending machine lifespan.
Implement custom software tailored to analyze the availability and performance of specific equipment types and groups. This helps identify bottlenecks and achieve higher productivity by keeping track of equipment- or process-specific issues.

Benefits of Custom Manufacturing Software

Improving efficiency by addressing “minor” details

While out-of-the-box solutions exploit the well-known ways of raising efficiency by automating what’s usually automated, each company has a set of unique processes or transitional operations that, if automated, can yield even better productivity. Custom software allows to reach these exact spots.

Reducing waste and optimizing resource use

Custom software solutions using internal data from reporting and/or sensors can help apply numerous methods of reducing scrap amounts and using resources sparingly: scheduling, dynamic task reallocation, predictive maintenance, and more.

Possibility of data-driven decision making

Tailored systems collect exactly the data that is needed to establish an actionable data policy, and which can be also “fed” to AI algorithms for working with vast datasets and complex interdependencies.

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Reconciling production with supply and demand

Production is notoriously inert compared to demand fluctuations, so every possibility of reconciliation between the two in real-time has the potential to save large sums and latch onto market trends. Technology helps cut the red tape between departments and reports and streamline communication along the entire supply chain, from vendors through the factory floor to customers.

Facilitated compliance and sustainability

Properly selected or designed solutions can be helpful in ensuring compliance with regulations and overall sustainability of the production. The exact arsenal of tools needed, from vendor portals to corporate LMS and QC systems, and the way they interconnect, are defined for each company individually, so custom solutions make a lot of sense.

OUR

TECHNOLOGIES

.NET

React

Node.js

Angular

Vue.js

MySQL

PostgreSQL

MongoDB

RabbitMQ

Docker

Kubernetes

Redis

Identity Server

Python

TensorFlow

PyTorch

Custom Solution Development Process

PROJECT DISCOVERY

We start with a consultation and research of the current workflows to pinpoint the opportunities for optimization.
This allows us to suggest the scope and roadmap for the perfect solution.

SOLUTION DESIGN
This is where the architecture, tech stack, and UX are designed to match the business-side vision, and embodied
in a PoC or prototype to validate the functionality of the software.

DEVELOPMENT & INTEGRATION
At this stage, software developers work iteratively, with feedback cycles, to build the modules of the solution and integrate them with legacy systems and third-party platforms where necessary.

QA, DEPLOYMENT, TRAINING
Here, we test the solution (functionality, performance, security), and after validation, deploy it and provide training for target users if needed, so that proper adoption is ensured.

MAINTENANCE
After deployment, the software is continuously monitored for performance, reliability, and evolving business needs. Regular updates keep the system aligned with production changes, new equipment, or regulations.

AI Software Development for Manufacturing Businesses

We apply our expertise in AI/ML development to manufacturing solutions with a sober, precise approach – implementing artificial intelligence exactly where it yields actual value, and never for its own sake. In our experience, artificial intelligence works best for automation, product quality control, and supply chain optimization, as well as different cross-combinations of these domains, since this is where most valuable data flows are. Accordingly, we always design these solutions for maximum positive impact.

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The solutions we develop include:

  • Predictive maintenance systems
  • Computer vision for quality inspection and defect detection
  • Demand forecasting and inventory optimization models
  • AI-driven production scheduling and workflow optimization
  • Digital twins for process simulation and real-time monitoring
  • Intelligent supply chain management and logistics optimization
  • Energy consumption monitoring and efficiency analytics
  • AI-powered robotics and autonomous material handling
  • Natural language processing (NLP) assistants for operator support
  • Generative design for product and process innovation

Our Approach

Company- and process-specific (but scalable) tools

In our experience, a manufacturing business’ identity is defined by more than just the type of goods produced – and that impacts the type of tools they will benefit from. This is why we base every solution’s design on a deep, ground-level understanding of the actual process as described by the people who are involved in it.

Pragmatic empathy in UX for better adoption

The best software is that which is willingly adopted by its users and brings clarity instead of chores. The tools we design are created by considering what the moments of actual use feel like to those operating them. In this way, we bring the power of IoT sensors, AI and ML, and multiple integrated systems to the user’s fingertips.

Careful management of data flows as groundwork for AI

As the industry is now starting to adopt artificial intelligence, which, in turn, needs quality data to learn and operate, we build everything to function not just as a tool in and of itself, but also as a valuable supplier of data, a part in the informational ecosystem of the company – while also ensuring security and compliance.

Manufacturing success stories

CASE STUDIES

CRM/ERP
2019 - 2023
Big Print
View
Textile
2022 - 2024
WMS for Textile Company
View
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