Guarantee reproducibility without rigidifying production

Specialty chemicals rely on complex processes where formulations, operating sequences and reaction conditions directly determine product performance, compliance and yield.

In multi-recipe, multi-batch environments, even minor variations can impact functional properties, product stability or cycle time.

Indao transforms data from your reactions, mixing steps, separation, purification and finishing units into reliable operational indicators and concrete recommendations.

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Why specialty chemical processes are different

Processes where precise control of batches and formulations directly determines the value of the final product.

Primarily batch-based production

Each batch has its own dynamics: operating sequences, reaction times and transfer conditions directly influence the outcome.

Strong sensitivity to formulation and process conditions

Order of addition, mixing speed, temperature and holding time all impact final properties and functional performance.

High requirements for quality and traceability

High-value products demand strict reproducibility and a deep understanding of deviations.

The challenges you face

  • Batch reproducibility: ensuring consistent results despite variability in raw materials and operators.
  • Product quality: control of functional properties, stability, purity and performance.
  • Multi-recipe management: adapting lines quickly while maintaining process robustness and safety.
  • Cycle time & productivity: optimizing sequences without compromising final quality.
  • Traceability & compliance: maintaining a clear history linking process conditions to analytical results.

The limits of your current tools

  • Batch monitoring is often based on isolated parameters, without a global view of process dynamics.
  • Quality analyses are typically performed after production → leading to delayed adjustments.
  • Data is fragmented across DCS, LIMS, batch sheets and quality systems.
  • It is difficult to objectively compare high-performing vs. deviating batches.
  • Best practices are poorly capitalized across teams or sites.

What Indao delivers in practice

We design advanced analytics solutions that truly improve the control of specialty chemical processes with AI as support: explainable, controlled and field-oriented.

Full tracking of process phases, integrating sequences, recipes and real execution conditions.
Continuous estimation of key indicators such as reaction conversion or final product performance based on process data.
Smart batch-to-batch comparison to identify operating conditions that lead to the best results.
Analysis of non-productive or oversized phases to improve overall efficiency without compromising quality.
Structured batch data enabling deviation analysis, audits and knowledge transfer.
Seamless connection to existing systems (batch control, LIMS, MES, quality) without disrupting operational routines.

What you gain

Operational results, not just more dashboards

Improved batch reproducibility

Identification of parameters that truly impact quality
→ reduced batch variability

More consistent product quality

Better understanding of formulation/process interactions
→ more reliable final performance

Reduced losses and scrap

Early detection of conditions leading to deviations before major quality impact

Improved productivity

Optimization of process sequences and reduction of unnecessary cycle time

Stronger process knowledge capitalization

Turning field expertise into objective, scalable and transferable references

Controlled integration

Progressive deployments aligned with quality and regulatory constraints

See clearly. Act decisively. Optimise sustainably.

Decisions that have already proven their impact

  • Process Performance Optimization

2Valorise

Optimising the steam network to maximise cogeneration plant performance
  • Energy

CoCEPTIO

Structuring and leveraging HVAC data to improve energy efficiency
  • Process Performance Optimization

CRM Group

Identifying key parameters in hot rolling to better control process performance
  • 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.

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Whatever your segment in the chemical industry

Concrete levers at the heart of your processes

Acids

Optimize highly thermal and corrosive processes by stabilizing critical operating parameters and improving energy efficiency.

PVC

Improve control of polymerization conditions and reduce process variability to ensure stable product quality.

Industrial gases

Refine compression, separation and liquefaction to reduce energy intensity and improve reliability of continuous operations.

Plastics

Correlate process parameters, energy and product quality to stabilize extrusion, transformation and recycling performance.

Fertilizers

Optimize energy consumption in thermally intensive processes while improving production stability.

Petrochemicals

Enhance operational stability of continuous units by detecting early drifts and performance losses.