Ensure machining precision without sacrificing machine availability

CNC machining relies on demanding mechanical and thermal balances, where tool paths, cutting conditions, machine rigidity and thermal stability directly impact dimensional accuracy, surface quality and equipment lifespan.

Even minor deviations can lead to geometric defects, premature tool wear, vibrations or unplanned downtime affecting productivity.

Indao transforms data from machining centers, spindles, axes, cooling systems and machine sensors into reliable operational indicators and concrete recommendations.

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Why CNC machines are different

High-precision mechatronic systems where machine dynamics, material and tooling must remain perfectly controlled.

Sensitivity to thermal effects

Structural expansion and spindle heating directly impact dimensional accuracy

Continuous tool–material interaction

Cutting forces, vibrations and feed conditions influence surface quality and machining stability

High-mix production environments

Frequent program and material changes require fast adaptation without loss of precision

The challenges you face

  • Dimensional accuracy: maintain tight tolerances despite thermal and mechanical drifts
  • Tool life: anticipate wear or breakage impacting part quality
  • Machine availability: reduce downtime caused by vibrations, axis overload or spindle issues
  • Energy performance: optimise consumption of motors, auxiliaries and cooling systems
  • Multi-batch productivity: stabilise machining conditions during production changes

The limits of your current tools

  • Machine alarms often limited to visible critical failures
  • Difficulty correlating cutting parameters with actual part quality
  • Data fragmented across CNC, maintenance and quality control systems
  • Defect analysis often performed after non-conforming parts are produced
  • Limited tools to anticipate progressive thermal or vibrational drifts

What Indao delivers in practice

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

Real-time tracking of spindle loads, vibrations, temperatures and axis movements, considering program and material
Continuous estimation of indicators related to cutting stability, dimensional drift and tool degradation
Analysis of interactions between cutting parameters, machine dynamics and part quality to identify root causes of defects
Identification of settings that improve machining stability while reducing mechanical stress
Structured historisation of machining conditions to support quality analysis and continuous improvement
Seamless connection to existing systems (CNC, MES, maintenance supervision, quality control) without disrupting operations

What you gain

Operational results, not just more dashboards

Improved machining precision

Early detection of deviations
→ reduced part non-conformities

Extended tool life

Identification of conditions accelerating wear or breakage

Increased machine availability

Anticipation of mechanical and thermal instabilities

Optimised productivity

Stabilisation of multi-batch conditions reducing operator adjustments

More robust operational decisions

Clear understanding of interactions between tool, 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

  • Process Performance Optimization

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CRM Group

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  • Data-driven Decision-Making

EKO-MYŚL

Centralising waste and energy data to improve operational control

Want to make decisions differently?

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

Request a demo

Whatever your machine tool environment

Concrete levers at the core of processes

Lasers

Optimise operating parameters to stabilise cutting quality, reduce downtime and improve overall efficiency