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AI Solutions for Manufacturing Development

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Experience significant reductions in downtime and operational costs, while simultaneously boosting productivity and product quality thanks to AI in manufacturing: Devox’s custom development will be tailored to your operations and based on your individual requirements.

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Services We Provide

AI Solutions for Manufacturing We Provide

Devox can produce different AI applications in manufacturing. From operational solutions to those working alongside your people, we cover a wide spectrum of what artificial intelligence can offer.

  • Predictive Maintenance Development Services

    Developing AI models tailored to the specific machinery and operational patterns of your manufacturing environment. Receive a system capable of predicting equipment failures and scheduling maintenance proactively, reducing downtime and extending the lifespan of machinery.

  • Quality Control AI Services

    Benefit from real-time detection of defects or inconsistencies, ensuring products meet high-quality standards directly from the machine: Devox creates AI-powered vision systems designed to inspect and ensure product quality at various stages of the manufacturing process.

  • Supply Chain Optimization Services

    Let Devox design algorithms that analyze vast amounts of data to predict demand, optimize inventory, and enhance logistics. You will gain a streamlined supply chain with reduced costs, improved efficiency, and timely product delivery.

  • Manufacturing Process Optimization Services

    Leveraging AI, we can simulate and analyze your manufacturing processes, identifying its opportunities for efficiency gains based on your existing process. We will provide recommendations for process adjustments that minimize waste, reduce energy consumption, and increase production speed.

  • Robotics and Automation Services

    Increase productivity in your manufacturing operations, giving them due flexibility modern developments enable. We’re integrating AI and robotics in manufacturing, providing you with automated solutions for tasks that require high precision, endurance, or speed.

  • Energy Management Services

    We’re creating AI systems that monitor and analyze energy usage within manufacturing facilities to identify savings opportunities. You can expect optimized energy consumption, killing two birds of sustainability goals and reduced operational costs with one stone.

  • Worker Safety Monitoring Services

    Ensure adherence to safety protocols and detect potential hazards in the manufacturing environment: we’re developing AI-driven monitoring systems that enhance worker safety, reducing the risk of accidents and ensuring compliance with regulations.

  • Customization and Design Services

    Cater to individual customer preferences at scale, increasing market competitiveness: we will develop adaptive AI that offers mass customization capabilities, allowing for the rapid design and production of personalized products.

  • Digital Twins Development Services

    Designing virtual replicas of physical manufacturing systems, enabling simulation and optimization of processes before implementation. Receive insights into performance improvements and make informed decisions without the risk of physical trials and get a better picture of an end item look.

  • Cognitive Procurement Services

    Levergae more agile response to market changes or supply chain disruptions: we make AI systems that to optimize procurement by analyzing supplier data, material costs, and market trends. You’ll achieve improved procurement strategies, cost savings, and enhanced supplier relationships.

  • NLP for Documentation Services

    Harness the potential of natural language processing to automate the processing and analysis of textual documents within the manufacturing context. Devox can make a solution that streamlines document management, improves compliance, and saves time on manual documentation processes.

Benefits

Benefits of AI Solutions for Manufacturing

There’s a wide range of improvements AI in manufacturing industry can provide. See what can be elevated to the next level with custom Devox software.

  • Reach Consistent Quality Control

    Enjoy a more accurate, consistent, and faster way to detect defects, in contrast to manual inspections, which are prone to errors. AI-powered visual inspection systems spot quality issues with greater accuracy and speed, ensuring products meet high-quality standards consistently and there are no QA gaps.

  • Stop Energy Waste

    Cut back on excessive energy consumption without sacrificing practical results. Let AI in manufacturing sector optimize energy use by identifying inefficiencies and suggesting adjustments, promoting sustainability, and reducing expenses. The Devox-made system will monitor and analyze energy usage patterns in a way to reduce your operational costs, as well as the carbon footprint.

  • Create a Safe Workplace

    Identify potential hazards, helping to prevent accidents and ensuring a safer work environment. AI can monitor workplace conditions in real-time, predict potential safety incidents, and ensure compliance with safety protocols by integrating advanced monitoring and predictive analytics to foresee and mitigate hazards. You can also anticipate equipment failures that might pose safety risks, allowing for preventative maintenance.

  • Unlock Customization and Design Flexibility

    Tap into yet undiscovered mass customization and meet individual client preferences without sacrificing effectiveness or significantly increasing costs: AI can process and analyze vast amounts of customer data, identifying trends and preferences that inform product design. In production, you’ll optimize processes for custom orders, adjusting parameters in real-time to accommodate different materials, designs, or specifications.

  • Quicken Innovation Cycles

    Speed up the innovation process while also significantly cutting down on material and labor costs: AI algorithms analyze design options, predict performance under various conditions, and provide optimization recommendations, enabling quicker iteration and refinement. You’ll streamline the design, prototyping, and testing phases. In terms of R&D processes, AI's capability to simulate and model design concepts in virtual environments reduces the need for physical prototypes.

  • Avoid Skill Gaps and Labor Shortages

    Automate routine and complex tasks, mitigating the impact of labor shortages and skill gaps. You’ll allocate human resources to more strategic and high-value activities while not missing out on the lack or exclusivity of high skill in manufacturing: AI-driven robots and machines can learn and adapt to new tasks, augment human capabilities, or even help upskill existing employees, making it easier for you to bridge skill gaps internally.

Key Features

Key Features of AI Solutions for Manufacturing

01

Predictive Analytics

AI solutions can analyze historical data and identify patterns to forecast future outcomes, such as equipment failures, demand spikes, or supply chain disruptions, allowing for proactive decision-making.

02

Machine Learning and Deep Learning

AI and machine learning in manufacturing enable the systems to learn and improve from experience without being explicitly programmed. They are used for a variety of tasks, including predictive maintenance, quality inspection, and process optimization.

03

Computer Vision

AI-powered computer vision systems can interpret and make decisions based on visual data. In manufacturing, this is often used for quality control, safety monitoring, and guiding robotic systems.

04

Natural Language Processing (NLP)

This allows AI solutions to understand and generate human language, facilitating the automation of customer service, report generation, and the analysis of unstructured data, such as maintenance logs and product reviews.

05

Robotics and Automation

AI enhances robotic systems, enabling them to perform complex tasks with high precision and flexibility. This includes assembly, picking and packing, and even tasks requiring fine motor skills or adaptation to changing environments.

06

Digital Twins

The creation of virtual replicas of physical systems or processes allows for simulation, analysis, and optimization. Digital twins can predict the outcomes of changes in the manufacturing process, reducing the need for physical prototypes and trials.

07

Data Integration and Analysis

AI solutions can integrate and analyze data from diverse sources, including IoT devices, ERP systems, and external databases. This comprehensive view supports more informed decision-making across all areas of manufacturing.

08

Real-time Monitoring and Control

AI systems provide real-time insights into manufacturing operations, allowing for immediate adjustments to improve efficiency and productivity. This is critical for optimizing production lines and energy use.

09

Customization and Personalization

AI enables mass customization by efficiently handling variations in product design and production processes. This allows manufacturers to meet individual customer preferences without sacrificing efficiency.

10

Collaborative Robots (Cobots)

These robots work alongside human workers, enhancing safety and efficiency. AI enables cobots to learn and adapt to new tasks quickly, making them more versatile and valuable in a manufacturing setting.

Development Process

Our AI Solutions for Manufacturing Development Process

When developing AI solutions in manufacturing, we adhere to the best practices of SDLC, combining them with your individual requirements. See what stages will your upcoming solution go through.

01.

01. Needs Assessment and Goal Definition

We begin by identifying the specific challenges and pain points in your manufacturing process where AI can make a significant impact. We define goals (what the AI solution aims to achieve), figuring out the solution type having all the requirements on our hands. We then allocate a team, PMs, and set milestones and deadlines.

02.

02. Data Collection and Preparation

Our development team collects data relevant to the problem at hand (historical production data, sensor readings, quality inspection results, etc). Then, we cleanse and prepare it to remove anomalies or inaccuracies and prepare it for analysis. This step is crucial for ensuring the accuracy of AI models.

03.

03. Choosing the Right AI Technologies

Based on the goals and the nature of the data, we select the appropriate AI technologies and methods, such as machine learning, deep learning, computer vision, or natural language processing. This is when we consider integration needs too, assessing the need for integration with existing systems (e.g., ERP, MES) and ensuring the selected technologies are compatible.

04.

04. Model Development and Training

We build AI models tailored to specific manufacturing challenges, which involves selecting features, training algorithms, and tuning parameters. After that, it’s time to train the models using the prepared data, continually validating and refining them to improve accuracy and performance.

05.

05. Testing and Evaluation

Before full deployment, test the AI models in a controlled environment to evaluate their effectiveness and make necessary adjustments. Apart from different types of testing like UAT, smoke testing and unit testing, we conduct full performance evaluation, assessing the AI solution against key performance indicators (KPIs) related to the predefined goals. Finally, the team adjusts and retrains the models as needed.

06.

06. Deployment and Integration

Once tested and validated, Devox deploys the AI solutions into the manufacturing process. At this time, we’re integrating it with production machinery, sensors, and IT systems. We, of course, make sure the solution is scalable and can handle the volume and velocity of data in a live manufacturing environment. This is when we also educate employees on how to interact with the AI solutions, understand their outputs, and make decisions based on AI-generated insights.

07.

07. Monitoring and Continuous Improvement

We stay in touch to keep an eye on your newly-made product to ensure it meets the expected outcomes. If there’s relevant feedback and new data, we can refine and improve the AI models over time, adapting to changes in manufacturing processes or objectives.

  • 01. Needs Assessment and Goal Definition

  • 02. Data Collection and Preparation

  • 03. Choosing the Right AI Technologies

  • 04. Model Development and Training

  • 05. Testing and Evaluation

  • 06. Deployment and Integration

  • 07. Monitoring and Continuous Improvement

Awards & Certifications

Industry Contribution Awards & Certifications

Check Devox Software Awards on rating & review platforms among top software development companies and Certifications our team members holds.

  • Awards
  • Certifications
  • UpWork

    UpWork

  • Clutch

    Clutch

  • The Manifest

    The Manifest

  • DesignRush

    DesignRush

  • MC.today

    MC.today

  • Clutch

    Clutch

  • Clutch

    Clutch

  • AppFutura

    AppFutura

  • Clutch

    Clutch

  • GoodFirms

    GoodFirms

  • DesignRush

    DesignRush

  • UpWork

    UpWork

  • Professional Scrum Master™ II (PSM II)

    Professional Scrum Master™ II (PSM II)

  • Professional Scrum Product Owner™ I (PSPO I)

    Professional Scrum Product Owner™ I (PSPO I)

  • ITIL v.3 Foundation Certificate in IT Service Management

    ITIL v.3 Foundation Certificate in IT Service Management

  • ITSMS Auditor/Lead Auditor of ISO Standard 20000

    ITSMS Auditor/Lead Auditor of ISO Standard 20000

  • Microsoft Certified: DevOps Engineer Expert

    Microsoft Certified: DevOps Engineer Expert

  • Microsoft Certified: Azure Administrator Associate

    Microsoft Certified: Azure Administrator Associate

  • Quality Assurance ISTQB Foundation Level

    Quality Assurance ISTQB Foundation Level

  • Microsoft Certified Solution Develop (MCSD)

    Microsoft Certified Solution Develop (MCSD)

  • Java Development Certified Professional

    Java Development Certified Professional

  • JavaScript Developer Certificate – W3Schools

    JavaScript Developer Certificate – W3Schools

  • Certified Artificial Intelligence Scientist (CAIS)

    Certified Artificial Intelligence Scientist (CAIS)

  • Oracle Database SQL Certified Associate

    Oracle Database SQL Certified Associate

Case Studies

Our Latest Works

Function4
  • website
  • management platform

Professional Event Ecosystem

Starting as a ticket selling website, Function4 grew to an all-in-one event management platform thanks to Devox’s help. It provides an ecosystem and data for comprehensive device setup, invitation and communication.

Additional Info

Core Tech:
  • Vue js
  • GSAP
  • Ruby
  • Azure
Country:

USA USA

Social Media Screening Platform
  • Backend
  • Frontend
  • Cloud Services
  • DevOps & Infrastructure

Social Media Screening Platform

The project is a web-based AI-powered platform for comprehensive social media background screening. Its supertask is to streamline potential employee background checks for companies, tackling employment risk management.

Additional Info

Core Tech:
  • .NET Core
  • Angular
  • Azure
  • Docker
  • GitLab CI/CD
  • Selenium Web Driver
Country:

USA USA

Web 3 White-label PaaS NeoBank
  • Web3
  • Fintech

Web 3 White-label PaaS NeoBank

Our client is a blockchain technology firm that has a network of international financial service provider partners. The project is a white-label PaaS ecosystem for neo banking solutions based on the blockchain network.

Additional Info

Country:

USA USA

and over 200 our featured partners and clients

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Testimonials

Testimonials

Estonia

The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Carl-Fredrik Linné
Tech Lead at CURE Media
Darrin Lipscomb
United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Darrin Lipscomb
CEO, Founder at Ferretly
Daniel Bertuccio
Australia

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Daniel Bertuccio
Marketing Manager at Eurolinx
Trent Allan
Australia

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Trent Allan
CTO, Co-founder at Active Place
United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Andy Morrey
Managing Director at Magma Trading
Vadim Ivanenko
Switzerland

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Vadim Ivanenko
Jason_Leffakis
United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

Jason Leffakis
Founder, CEO at Function4
John Boman
Sweden

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

John Boman
Product Manager at Lexplore
Tomas Pataky
Canada

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Tamas Pataky
Head of Product at Stromcore
Stan Sadokov
Estonia

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Stan Sadokov
Product Lead at Multilogin
Mark Lamb
United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

Mark Lamb
Technical Director at M3 Network Limited
FAQ

FAQ

  • How long does AI development for manufacturing take?

    The development timeline for AI in manufacturing process varies widely based on the complexity of the application and the specific area of focus.

    Predictive maintenance solutions might take 3-6 months to implement, leveraging existing models and focusing on machine data analysis.

    Quality control systems, particularly those involving computer vision for defect detection, can range from 4-8 months, depending on product diversity and defect complexity.

    Supply chain optimization projects, due to their need to integrate vast datasets and multiple systems, could extend from 6-12 months.

    Similarly, developing AI for product customization and integration with robotic systems can also take anywhere from 6 months to over a year, reflecting the intricacies of tailoring products to customer specifications and automating complex manufacturing tasks.

    These timelines are flexible, influenced by factors such as data availability, technological infrastructure, and the degree of integration required with existing processes.

  • What’s the future of AI in manufacturing?

    The future of AI in manufacturing is poised for significant growth and innovation, with smarter, more autonomous systems integrating deeply into production processes. AI will drive further advancements in predictive maintenance, quality control, and supply chain optimization, making manufacturing more efficient, flexible, and responsive to market demands. The rise of AI-powered robotics and cobots will enhance human-robot collaboration, increasing productivity while ensuring safety. Customization will reach new heights as AI enables mass personalization with minimal impact on production efficiency. 

    Additionally, AI’s role in sustainable manufacturing will become increasingly important, optimizing energy use and reducing waste. As AI technologies evolve, they will continue to transform the manufacturing landscape, ushering in an era of unprecedented efficiency and innovation.

  • How does AI improve predictive maintenance in manufacturing processes?

    AI enhances predictive maintenance by continuously analyzing data from sensors and machinery to identify patterns indicative of potential failures. This allows for maintenance to be scheduled at the optimal time, minimizing unexpected downtime and extending the lifespan of equipment. For instance, by monitoring vibration, temperature, and power consumption data, AI algorithms can predict bearing failures in motors before they occur, allowing for planned interventions that prevent costly production halts and maintain high operational efficiency.

  • Can AI solutions enhance safety protocols in manufacturing environments?

    Yes, AI significantly boosts safety protocols by employing computer vision and real-time monitoring to detect unsafe behaviors, equipment malfunctions, or hazardous conditions that could lead to accidents. For example, AI-powered systems can monitor video feeds to ensure that workers are wearing the necessary personal protective equipment (PPE) and adhering to safety zones around heavy machinery. These systems can instantly alert supervisors to any deviations, fostering a safer workplace and reducing the risk of injury.

  • How do AI systems adapt to working with various materials in the manufacturing process?

    AI systems are trained on vast datasets that include a wide range of materials with different properties, enabling them to understand and predict how these materials react under various conditions. For welding processes, for example, AI algorithms can adjust parameters such as speed, temperature, and material feed rate in real-time to accommodate different metals or alloys, ensuring optimal weld quality. This adaptability not only improves product quality but also reduces waste and increases efficiency.

  • What role does AI play in optimizing supply chains for manufacturers?

    AI revolutionizes supply chain optimization by providing predictive insights that improve inventory management, demand forecasting, and logistic efficiencies. For instance, AI algorithms can analyze historical sales data, market trends, and external factors like weather or economic indicators to accurately forecast demand. This allows manufacturers to adjust their production schedules and inventory levels accordingly, reducing overproduction, minimizing stockouts, and ensuring timely delivery to customers.

  • How does AI enhance operations in steel, textile, and automotive manufacturing?

    AI In steel manufacturing optimizes operational parameters such as temperature and pressure in furnaces to improve efficiency and yield while employing predictive maintenance to reduce downtime and maintenance costs. It also uses AI-powered vision systems for real-time inspection of steel quality, ensuring only the highest quality products reach the market.

    AI in textile manufacturing revolutionizes fabric inspection by automating defect detection, leading to significant improvements in quality and efficiency. It enhances demand forecasting and inventory management, allowing manufacturers to adjust production schedules accurately and manage stock levels effectively, reducing waste and increasing responsiveness to market demands. AI also optimizes the supply chain and enables the production of customized designs by analyzing customer preferences and trends.

    AI in car manufacturing is about autonomous robots increasing the efficiency and flexibility of assembly lines, performing tasks from welding to intricate assembly with precision. Quality assurance is bolstered through AI systems that conduct detailed inspections, ensuring each vehicle meets strict quality standards. Predictive maintenance algorithms keep production equipment running smoothly, and AI-driven supply chain management ensures materials are delivered just in time, reducing lead times and costs. Additionally, AI facilitates customization at scale, allowing manufacturers to efficiently produce vehicles tailored to individual preferences.

  • In what ways can AI-driven robots assist in manufacturing?

    AI-driven robots, or cobots (collaborative robots), work alongside humans to perform tasks ranging from assembly to inspection, significantly boosting productivity and efficiency. These robots are equipped with sensors and AI algorithms that enable them to learn and adapt to new tasks quickly. For example, in electronics manufacturing, cobots can be used for precise component placement and soldering, tasks that require high accuracy and consistency, thereby reducing errors and increasing throughput.

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