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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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.
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.
AI Solutions We Build for Manufacturing Plants
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Manufacturing Data Backbone
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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.
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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.
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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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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
- React
- FastAPI
- Python
- Google Gemini API
- pytesseract
- PostgreSQL
- Docker
- AWS/Azure/GCP Cloud Services
Germany
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
- React
- Node.js
- PostgreSQL
- Docker
- Kubernetes
- AWS (EC2, S3, RDS)
- CI/CD (GitHub Actions)
- REST API
- Power BI Integration
Poland
Testimonials
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