Quality detected at the end
The defect appears when the entire batch has already been produced.
Line 08
Automation and vision to produce better, not just more.
We automate processes, instrument plants and use artificial vision to improve quality, control and efficiency.
Context
What we solve.
The industry doesn't need another layer of reporting: it needs sensors, control, vision and systems that talk to each other. AI helps when there is data and a process to support it.
Stoppages that no one anticipates
Reactive maintenance and machine data that is not used.
Automation in islands
PLC, SCADA, ERP and quality live separately; someone reconciles by hand.
Solutions
What we can execute in Manufacturing & Supply Chain.
Each solution declares its modality. The final scope is confirmed before committing price or date.
01 · Custom project
Process automation and control
Design and integration of PLC, SCADA, robotics and sensors.
- Process survey
- Control architecture
- Integration and testing
- Commissioning
02 · Custom project
Machine vision and quality control
Cameras, inspection models and online alerts.
- Inspection points
- Cameras and lighting
- Vision model
- Alerts and traceability
03 · Defined scope solution
Production and OEE visibility
Plant capture and efficiency dashboard.
- Capture points
- Integration
- OEE dashboard
- Review routine
04 · Staged project
Plant and chain integration
MES/ERP, connected inventory and traceability.
- Data Model
- Integrations
- Traceability
- Indicators
Deliverables
What you receive.
- Automation or vision design
- Instrumentation and integration
- Operational dashboard
- Procedure and training
Evidence. Requires visit and validation of equipment. Automation is implemented in stages and with plant specialists.
Includes
- Plant diagnosis
- Design and agreed implementation
- Field tests
- Training
Does not include
- Physical control without safety evaluation
- Unspecified equipment
- Autonomous operation without supervision
Way of working
Four moments, with recorded decisions.
- UnderstandContext, constraints and success criteria. Without this, scope is a guess.
- DefineDeliverables, exclusions, assumptions and conditions. Here you decide whether there is a quote or a review.
- RunProposed and confirmed team, controlled access and progress by deliverables.
- Deliver and measureAcceptance, transfer and, if applicable, operation with indicators.
Tools
What we do it with.
Technologies and platforms that we implement. The level of integration is confirmed per project.
Flexiu AI
How it integrates with this line.
Detects patterns and prioritizes maintenance. The plant decides and the specialist validates in the field.
Get to know Flexiu AIContext
Work with the project, documents and permissions of the case.
Agents
They prepare analyses, drafts and repeatable tasks.
Control
Human review, traceability and permissions by role.
Frequently asked questions
What they usually ask before hiring.
If a question is missing, write it in the request. We added it with your response.
Do you automate the entire plant?
No. We start with a process or a line, with risk analysis and field validation.
What is needed for artificial vision?
Inspection points, lighting, samples and quality criteria. Without samples there is no reliable model.
Does it integrate with my ERP?
Depends on the APIs and the data model. It is validated before committing.
Next step
Does this fit what you need?
Write the case. We tell you if it corresponds to this line, another or a specialized review.