AI Transformation for Manufacturing

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  • BRING AI TO THE LINE IN STAGES

    Start with models that observe next to your current rules. Promote them to advisors once parallel runs confirm the numbers, then hand over parameter control with a tested rollback path.

  • UNIFY YOUR DATA FLOW

    Build one operational data backbone for the plant. Replace manual reconciliations with live metrics that every team reads from a single source of truth.

  • EMPOWER OPERATORS

    Put work instructions and approvals on one operator screen. Every step leaves an e-signed audit record that traces each unit back to its batch.

Why Devox Software

AI engineering for plants that run around the clock

Devox Software is a US-based engineering company founded in 2018, with 100+ engineers and 70+ international deliveries. In manufacturing, we take AI from the first data audit to models that run in live production and stay accurate as conditions change.

Modernizing unstable systems? Launching new products?

We build development environments that deliver enterprise-grade scalability, compliance-driven security, and control baked in from day one.

Check Our Portfolio
Our Services

AI Solutions We Build for Manufacturing Plants

  • Manufacturing Data Backbone

    A shared data layer for the whole plant. Machine signals sit next to quality and maintenance records, and every metric has one agreed-upon definition. Engineers stop reconciling spreadsheets before each meeting, and models train on the same data the plant reports on.

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  • Explainable AI for Operators

    Shows operators why the model recommends a change and where it tends to be wrong. Engineers review the logic behind each recommendation before they accept it. Plants adopt AI faster when the people on the line trust what they see on screen.

  • Process Parameter Optimization

    Finds the best process settings with far fewer trial runs. We start with a small design of experiments, and Bayesian optimization proposes each next run based on the results so far. Engineers see the recommended parameters together with how confident the model is in them.

  • Real-Time Quality Control Loop

    Turns quality monitoring into on-the-line parameter adjustments. Sensors feed real-time quality indicators into a control layer that decides when to change a setting. An offline loop retrains and validates the models in parallel on fresh production data.

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  • Edge Anomaly Detection

    Catches abnormal behavior in high-frequency machine signals early. The model learns normal operation from the first weeks of production and runs on edge hardware next to the machine. When readings drift, it sends a signal that the control system can act on right away.

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  • Continuous Model Retraining

    Keeps models accurate as production conditions change. Inference runs at the edge for speed, while a connected training node updates the model with every new batch. Detection quality holds up months after launch. Teams comparing cities can also review our Software Development in Miami.

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  • Line Commissioning with Transfer Learning

    New machines and new materials reach stable output after one short calibration run. The run maps observed signals to the parameters that operators control. When the same capability rolls out to a similar line, transfer learning carries the model over, and retraining takes a fraction of the original effort.

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Our Process

Our Process

01.

01. Production Reality Check

We identify where data is trustworthy, where it drifts, what decisions operators already make by instinct, and which outcomes matter (scrap, OEE drivers, uptime, cycle time). This becomes the baseline for AI that can survive production.

02.

02. Data Foundation

We connect time-series signals, events, quality outcomes, and production context. We standardize definitions once, so models learn from consistent, reliable data rather than reconciled spreadsheets.

03.

03. Calibration Baseline

We run a short calibration phase to establish “normal” behavior and ground truth.

04.

04. AI Modeling and Optimization

We build models that work with limited industrial data: anomaly detection, forecasting, and Bayesian optimization for parameter tuning.

05.

05. Parallel Run

AI is initially deployed as an observer, then as an advisor, and ultimately transitions to control. We run parallel inference, compare against existing rules, apply confidence thresholds, and design rollback paths before any AI output influences execution.

06.

06. Production Rollout

We operationalize the system with monitoring, retraining loops, drift detection, auditability, and secure OT/IT integration.

  • 01. Production Reality Check

  • 02. Data Foundation

  • 03. Calibration Baseline

  • 04. AI Modeling and Optimization

  • 05. Parallel Run

  • 06. Production Rollout

Case Studies

Our Latest Works

View All Case Studies
AI-Driven Intelligent Automation Engine for Multicountry Export Certification AI-Driven Intelligent Automation Engine for Multicountry Export Certification

AI-Driven Intelligent Automation Engine for Multicountry Export Certification

A modular, AI-powered platform that automates the generation of export certificates by extracting structured data from multi-format documents and rendering country-specific outputs.

Additional Info

Core Tech:
  • React
  • FastAPI
  • Python
  • Google Gemini API
  • pytesseract
  • PostgreSQL
  • Docker
  • AWS/Azure/GCP Cloud Services
Country:

Germany Germany

Tailored QMS Platform for Streamlined Audits and Feedback Collection Tailored QMS Platform for Streamlined Audits and Feedback Collection

Tailored QMS Platform for Streamlined Audits and Feedback Collection

Devox Software built a custom multi-site Quality Management System for a Central European industrial-automation manufacturer with five production plants. React, Node.js on AWS, containerized via Docker/Kubernetes, led to 75% time savings in audit preparation, 30% faster issue resolution, and daily operator feedback more than doubled.

Additional Info

Core Tech:
  • React
  • Node.js
  • PostgreSQL
  • Docker
  • Kubernetes
  • AWS (EC2, S3, RDS)
  • CI/CD (GitHub Actions)
  • REST API
  • Power BI Integration
Country:

Poland Poland

Enterprise-Grade Time Series Forecasting with Extended Neural Models Enterprise-Grade Time Series Forecasting with Extended Neural Models

Enterprise-Grade Time Series Forecasting with Extended Neural Models

An AI-powered forecasting platform that helps retail teams plan sales across thousands of SKUs using neural ensembles, external signals, and explainable outputs.

Additional Info

Country:

Austria Austria

Testimonials

Testimonials

Carl-Fredrik Linné                                            Sweden

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.

Darrin Lipscomb Darrin Lipscomb
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.

Daniel Bertuccio Daniel Bertuccio
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.

Trent Allan Trent Allan
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.

Andy Morrey                                            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.

Vadim Ivanenko Vadim Ivanenko
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.

Jason Leffakis Jason Leffakis
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.

John Boman John Boman
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.

Tamas Pataky Tamas Pataky
Tamas 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.

Stan Sadokov Stan Sadokov
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.

Mark Lamb Mark Lamb
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.

Engagement Models

Engagement Models for AI Projects in Manufacturing

01

Discovery Sprint

A short engagement to check whether your production data can support AI. Our engineers review signals from one line and map them to the quality or downtime outcome you want to improve. You get a ranked list of use cases and an architecture for the first pilot.

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02

Project-Based Delivery

A fixed scope built around one line and one measurable outcome. Devox builds the data pipeline and the model for that line. After parallel runs confirm the results, the team hands over a validated deployment with documentation for your engineers.

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03

Dedicated Team

A standing team of ML and data engineers for plants that scale AI across several lines. The team works within your roadmap and keeps models retrained as production conditions change.

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04

Build-Operate-Transfer (BOT)

For manufacturers who plan to own their AI capability long-term. Devox assembles the AI team and runs it through the first deployments. Once the MLOps practice is stable, the engineers and processes transfer to your company.

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05

Staff Augmentation

Adds specialized expertise to your existing team. Typical requests are computer vision engineers for visual quality inspection or data engineers for MES and historian integration. Specialists join your processes and report to your technical lead.

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Contact Us

We Fix, Transform, and Skyrocket Your Software.

Tell us where your system needs help — we’ll show you how to move forward with clarity and speed. From architecture to launch — we’re your engineering partner.

Book your free consultation. We’ll help you move faster, and smarter.

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