Stabilise cutting without slowing production

Industrial laser cutting relies on precise thermal and optical balances, where beam power, focus, feed rate and assist gas directly impact cut quality, dimensional repeatability and overall productivity.

Even minor deviations can lead to burrs, excessive heat-affected zones, material losses or unplanned downtime due to optical or mechanical issues.

Indao transforms data from laser sources, optical heads, motion systems, assist gas and machine sensors into reliable operational indicators and concrete recommendations.

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Why laser machines are different

Sensitive opto-mechanical systems where energy precision and machine dynamics must remain perfectly synchronised.

Thermal interaction between material and beam

Power, focus and speed directly influence melting, vaporisation and edge quality

Sensitivity to optical and mechanical drifts

Optical alignment, lens contamination or axis vibrations immediately impact cutting quality

Demanding multi-material production

Thickness, alloys and coatings require precise settings to maintain both speed and quality

The challenges you face

  • Cut quality: maintain consistent dimensional accuracy and surface finish
  • Machine availability: reduce downtime caused by optical contamination or axis drift
  • Gas and energy consumption: optimise use of assist gas and laser power
  • Production performance: maintain high throughput despite material variability
  • Optical component maintenance: anticipate degradation of lenses, nozzles or cooling systems

The limits of your current tools

  • Control often based on fixed recipes not suited to material variability
  • Difficulty correlating laser parameters with actual part quality
  • Data fragmented across CNC, optics and maintenance systems
  • Quality defects often detected after cutting or downstream inspection
  • Limited tools to anticipate progressive drifts affecting beam stability

What Indao delivers in practice

We design advanced analytics solutions that genuinely improve laser cutting performance, with AI as a support : explainable, controlled and field-oriented.

Real-time tracking of laser power, focus, axis speed and gas consumption, considering material and thickness
Continuous estimation of indicators related to thermal stability, cutting precision and optical degradation
Analysis of interactions between beam parameters, machine dynamics and material behaviour to identify root causes of defects
Identification of settings that reduce gas and energy consumption while stabilising quality
Structured historisation of cutting conditions to support quality analysis and continuous improvement
Seamless connection to existing systems (CNC, MES, maintenance, quality control) without disrupting operations

What you gain

Operational results, not just more dashboards

More consistent cut quality

Reduced burrs and dimensional defects

Increased machine availability

Anticipation of optical and mechanical drifts

Optimised gas and energy consumption

More precise control of beam parameters and assist gas

Improved productivity

Reduced operator adjustments and rework

More robust operational decisions

Clear understanding of interactions between beam, material and machine

Controlled integration

Progressive, secure deployment aligned with existing practices

See clearly. Act decisively. Optimise sustainably.

Decisions that have already proven their impact

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Want to make decisions differently?

Let’s explore how your data can become a concrete operational lever.

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Whatever your machine tool environment

Concrete levers at the core of processes

CNC machines

Analyse machine behaviour to anticipate deviations, improve machining precision and enhance equipment availability