For several years, the manufacturing industry has carefully explored the potential of AI in solving its specific challenges. By now, there are several dozens of proven use cases and benefits – from optimizing manufacturing operations and resource allocation to ensuring consistent product quality and increasing resilience. In other words, not only does AI help automate repetitive tasks, but it also helps reduce downtime, avoid supply chain bottlenecks, and more.
As a custom software development company, we offer custom AI solutions for manufacturing that are focused on tangible impact and match your workflows and know hows perfectly. In this way, you don’t adapt to artificial intelligence – AI adapts to the way things are produced at your company.
ML models that analyze vibration signals from motors or bearings, detecting microanomalies faster than threshold-based monitoring systems.
Models that use temperature sensor data to predict thermal deformation in machine components and allow to automatically compensate tool paths.
Use sound-wave signatures to identify what wear stage cutting tools are at, helping ensure timely tool changes.
A combination of 3D vision and deep learning allows to assess the correspondence of assembled components to CAD tolerances, while flagging misalignments.
AI models that simulate current shop-floor state and forecast bottlenecks (e.g., workstation overload) 1-4 hours ahead.
Systems that correlate scrap events with machine settings, operator actions, and material batches to identify root causes automatically.
Use object detection for shelf and pallet recognition from cameras, automatically counting inventory items.
LLMs working in alignment with sensor logs to generate or update SOPs whenever there’s a change in the processes.
ML models that analyze vibration signals from motors or bearings, detecting microanomalies faster than threshold-based monitoring systems.
Models that use temperature sensor data to predict thermal deformation in machine components and allow to automatically compensate tool paths.
Use sound-wave signatures to identify what wear stage cutting tools are at, helping ensure timely tool changes.
A combination of 3D vision and deep learning allows to assess the correspondence of assembled components to CAD tolerances, while flagging misalignments.
AI models that simulate current shop-floor state and forecast bottlenecks (e.g., workstation overload) 1-4 hours ahead.
Systems that correlate scrap events with machine settings, operator actions, and material batches to identify root causes automatically.
Use object detection for shelf and pallet recognition from cameras, automatically counting inventory items.
LLMs working in alignment with sensor logs to generate or update SOPs whenever there’s a change in the processes.
We incorporate sector specifics at early stages so that your software achieves a perfect fit with every user’s daily reality
Since employees remain the ultimate users of AI and automation, we bridge the gap between complex tech and daily workflows.
As AI and regulations evolve rapidly, we select scalable options that leave ample room for future architecture improvements.
We avoid AI for its own sake, beginning with discovery phases to define clear KPIs and metrics that secure a solid ROI.
We support digital products at every stage — from validating ideas to building, launching, and scaling successful software solutions.
<35%
Reduction in manual knowledge processing effort
We design and develop custom AI solutions tailored to specific business processes with their data requirements. Instead of applying generic AI capabilities without context, we analyze the workflow and build around what AI should do, not just what it could. Depending on the project, this can include ML models, AI-powered decision support, automation logic, or custom intelligent modules for existing software platforms.
Build the right product from the start.
We develop computer vision systems that interpret images or video streams in practical settings (agricultural, logistics, manufacturing, etc). Such solutions can support automated inspection, object recognition, quality control, and other workflows to eliminate typical manual bottlenecks. We focus not just on model accuracy but also on how computer vision fits into the process so adoption is smooth and doesn’t create extra onboarding tasks.
Build the right product from the start.
Systems that help identify patterns or anticipate future events based on available data: historical information, operational signals, all overlaid on business-specific factors. Such AI models can support forecasting for various goals like demand planning, resource allocation decisions, risk management, and optimizing processes. To make it valuable business-wise, we tailor the solution to the relevant factors and constraints of the given business context.
Build the right product from the start.
For organizations that depend on large volumes of documentation (regulations, reports, technical materials, etc.) we create AI-powered systems that help manage information from these sources. They can combine language models, structured data processing, and various knowledge retrieval approaches, so that teams spend less time searching for information or structuring it and more on actually applying it where necessary.
Build the right product from the start.
We integrate AI capabilities into business applications, IoT, analytics environments, and other internal systems, connecting models with APIs and databases. In this way, AI tools avoid the common fate of strong but disconnected software and contribute to the overall development of the entire digital ecosystem, with security, scalability, and long-term maintainability all taken into account.
Build the right product from the start.
See how we helped our clients increase revenue, reduce costs, and accelerate time to market.
#Agriculture
UX/UI, Web&Mobile Development, Cloud
#Transportation & Logistics
Transportation & Logistics
#Retail
Retail
We developed an AI-powered layer integrated into the existing software environment, combining data processing, intelligent analysis, and workflow automation to support faster and more consistent decision-making.
Christian Listérus
Co-Founder, Lingon Certificates
We have been working with the team at Lionwood for almost two years now and are very happy with the collaboration. The developers and project coordinators are always thoughtful, pro-active and highly competent. We can only give our best recommendations.View Case
A blockchain startup partnered with Lionwood.software for custom software development services. The team built an MVP of the client’s app that manages the consumer’s collectibles.
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"Lionwood.software is organized and diligent with meetings. They provide timely responses and delivered projects on time and within the budget. The team handles the changes and updates in a fast and streamlined approach. Email and WhatsApp are used for communication."View Case
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Ava Greve
Chief of Customer Support, Dizmo AG
"Their support has been in sync and on time despite the Russian Invasion of Ukraine. Their team fosters a positive relationship by being communicative and available. Ultimately, they are dedicated to the project, displaying interest and flexibility for the product’s success"View Case
Lionwood.software is helping a software company build a tool that allows users to allocate resources and tasks. They’re using JavaScript for the project.
What is your project about? Share a few details and we’ll respond with practical next steps and a realistic view of scope and approach.
Fill the formIn general, the best results are demonstrated with AI applications for predictive maintenance, real-time quality control, energy optimization, and automated documentation or reporting. All these are powered by advanced analytics and usually have enough data to tackle common challenges like downtimes, scrap, or planning inefficiencies.
