Quality escapes, unplanned downtime, and limited visibility carry real costs. Softarex helps operations teams address them — with industrial AI and computer vision that keeps your facility efficient and competitive.
What We Build for Manufacturing
Vision-Based Quality Inspection
Automated inspection at production speed — no dependency on inspector availability. Covers structural integrity, dimensional tolerances, color, labeling, and packaging compliance. Defects, anomalies, and traceability data captured continuously. Material yield tracked in real time against production targets.
Production Line Intelligence
Throughput, cycle time, changeovers, stoppages, and queue density — pulled automatically from machines, displays, and timers. Individual parts tracked, counted, and measured on the line. No manual collection. No blind spots.
Predictive Maintenance & Equipment Management
Continuous equipment monitoring that surfaces degradation before failure. Each machine tracked in real time via cameras, IoT devices, and visual markers — with usage reports, AI-driven maintenance forecasting, and automated task assignment built in.
Workforce & Safety Monitoring
Employee activity, zone presence, and movement tracked in real time across the floor and high-risk areas. Unsafe behaviors and high-risk conditions flagged before incidents occur.
Logistics & Inventory Visibility
Warehouse workflow, product movement, and storage compliance tracked inside the facility — including quality monitoring by color, shape, size, and texture. Vehicle arrivals, departures, and cargo handling monitored at the perimeter. One operational view, no manual reporting.
Edge AI Deployment
AI on your hardware, inside your network. Cloud or on-premise — deployed to fit your facility’s scale and infrastructure requirements. Neural networks trained and configured per deployment.
How we work
Operational Assessment
Engagement starts on the floor. We map equipment, workflows, and data sources to identify where AI and computer vision will deliver the highest return.
Proof of Value
Scoped deployment on a single line or process — real production conditions, measurable impact before broader commitment.
Model Training
Vision and analytics models trained on your products, defect criteria, and equipment behavior. Validated against your tolerances — not generic defaults.
System Integration
Connected to your MES, ERP, and OT environment through standard industrial protocols. No parallel tools, no workflow disruption.
Production Rollout
Scaled across lines, cells, or facilities. Dashboards, alerting, and automated workflows live — with your operations team in control.
Continuous Improvement
Models retrained as products, processes, and conditions evolve. Performance tuned and new use cases surfaced as operational data grows.
Request a Manufacturing Systems Assessment
Get an engineering roadmap with high-ROI automation opportunities in 5–10 business days.
Technologies
AI in Manufacturing
The intelligence layer across quality, maintenance, and performance:
- Quality models trained to your products and defect criteria
- OEE, throughput, and cycle time — monitored automatically
- Condition-based maintenance scheduling
- Automated root cause pattern detection
Computer Vision in Manufacturing
Inspection coverage and process consistency at a scale manual methods can’t match:
- Defect and anomaly detection — structural, dimensional, color, labeling — at line speed
- Object tracking, counting, and measurement on the line
- Workforce monitoring for safety and operational oversight
- Equipment recognition for asset tracking and maintenance
- 3D reconstruction from camera imagery for inspection and documentation
Robotics in Manufacturing
Vision-integrated robotics that handle real production variability:
- Vision-guided arms and AGVs that adapt to parts, position, and line conditions
- Automated inspection built into assembly and handling workflows
- Automation that evolves with your operation
IoT in Manufacturing
IoT connected with AI and computer vision — from raw data to operational action:
- Unified view across cameras, sensors, devices, and location tracking
- Live machine telemetry feeding predictive maintenance models
- Automated alerts and commands to connected equipment
- Integration with existing OT, MES, and ERP systems
AI in Manufacturing
The intelligence layer across quality, maintenance, and performance:
- Quality models trained to your products and defect criteria
- OEE, throughput, and cycle time — monitored automatically
- Condition-based maintenance scheduling
- Automated root cause pattern detection
Computer Vision in Manufacturing
Inspection coverage and process consistency at a scale manual methods can’t match:
- Defect and anomaly detection — structural, dimensional, color, labeling — at line speed
- Object tracking, counting, and measurement on the line
- Workforce monitoring for safety and operational oversight
- Equipment recognition for asset tracking and maintenance
- 3D reconstruction from camera imagery for inspection and documentation
Robotics in Manufacturing
Vision-integrated robotics that handle real production variability:
- Vision-guided arms and AGVs that adapt to parts, position, and line conditions
- Automated inspection built into assembly and handling workflows
- Automation that evolves with your operation
IoT in Manufacturing
IoT connected with AI and computer vision — from raw data to operational action:
- Unified view across cameras, sensors, devices, and location tracking
- Live machine telemetry feeding predictive maintenance models
- Automated alerts and commands to connected equipment
- Integration with existing OT, MES, and ERP systems
Our experts
We are experts in software and hardware engineering. By using and combining cutting edge technologies, we create unique solutions that transform industries.
Sergii
System Architect and Delivery Manager
My main responsibility as a Delivery Manager is to make sure that a product is delivered on time and within budget. To achieve that, I seek to create an encouraging environment for the team, where everyone can improve their skills, feel appreciated and, thus, produce greater value.
The use of Agile tools and techniques helps me organize the teamwork more effectively and transparently. Throughout my career, I have also been actively architecting, designing, and implementing software solutions — mostly web and desktop applications — for the Healthcare, Manufacturing & Energy industries that help companies and organizations streamline day-to-day business operations.
Andrey
Senior Software Engineer
During my 17 years of experience, I have gained expertise in SoC firmware across different architectures, embedded Linux, PLCs, Android development, data processing on the backend using Java and C++, web development, and desktop development on Windows and Linux. I have worked on projects in fields such as Energy and Utilities, Smart Home, Public Transport, Healthcare, E-commerce, Learning, and SaaS.
As a software engineer, I conduct research, design software architecture, create and maintain project documentation, and implement product features. While working on projects with active development cycles, I stay updated on new changes to the apps we use so that we can take advantage of new language features and tools to improve our development.
