// OUR SOLUTIONS
Three Engagements.
One Focus: Your Facility.
Each service addresses a distinct question that manufacturing operations in Singapore commonly face when considering how data analysis and machine learning can support their processes.
BACK TO HOME// METHODOLOGY
How We Structure Every Engagement
Every Inducta engagement follows the same sequence: a scoping conversation to understand your data and operational context, a data quality assessment to determine what the analysis can reliably support, the modelling or assessment work itself, and a structured delivery phase that includes documentation written for the people who will use the outputs.
We work incrementally and communicate at defined milestones rather than disappearing for weeks and reappearing with a presentation. If the data reveals constraints that affect scope, we address those with you rather than working around them silently.
Predictive Maintenance Modelling
SGD 2,600 / fixed-price engagement
This engagement develops a machine learning model to identify patterns in your equipment sensor and maintenance history data that precede failures or performance degradation. The model is built and validated specifically on your machinery and operating conditions, not calibrated from generic industry templates.
Delivery includes clear guidance on how the model's outputs should inform — not replace — the judgement of your maintenance engineering team. We also include a review of your data collection setup and recommendations for improving signal quality where the current instrumentation creates gaps or noise that limits analytical value.
// PROCESS STEPS
// PROCESS STEPS
Production Quality Analytics
SGD 1,480 / fixed-price engagement
A structured data analysis engagement to identify the process variables most associated with quality outcomes in your production environment. Working from your existing production and quality records, we build an interpretable model that your process engineers can use to understand which parameters to monitor and adjust.
The findings are presented in the operational language of your team rather than the technical language of data science. Where the analysis reveals parameter interactions or threshold sensitivities, these are presented as practical monitoring guidance rather than statistical summaries.
Industry AI Readiness Assessment
SGD 560 / fixed-price engagement
A methodical review of your manufacturing operation's data infrastructure, sensor coverage, and organisational readiness for AI-assisted process improvement. Covers data availability by production line, integration between operational technology and IT systems, and the practical constraints that would affect any AI deployment in your specific facility.
Delivered as a findings report with a clear, prioritised set of foundational recommendations. If you are considering AI modelling work but are uncertain whether your data infrastructure is ready for it, this is the most practical place to begin. The assessment is structured to give you a clear, honest picture without commitments to further work.
// ASSESSMENT SCOPE
// DECISION GUIDE
Which Engagement Fits Your Situation?
Use this table to identify which service matches where your facility currently stands.
| YOUR SITUATION | READINESS ASSESSMENT SGD 560 |
QUALITY ANALYTICS SGD 1,480 |
PREDICTIVE MAINTENANCE SGD 2,600 |
|---|---|---|---|
| Unsure whether your data is ready for AI | |||
| Quality variation is a recurring operational challenge | |||
| Unplanned downtime is a significant cost driver | |||
| Need to understand where to invest in AI first | |||
| Have historical sensor data and maintenance logs available | |||
| Have production parameter records and quality test data |
Not sure where you fit? The readiness assessment will tell you — and at SGD 560, it is the most cost-effective way to answer that question before committing to modelling work.
// TECHNICAL STANDARDS
Shared Across All Engagements
Data Security
NDA executed before data transfer. Isolated project environments. Data deleted after delivery unless retention is explicitly agreed in writing.
Reproducible Analysis
All pipelines are versioned and documented. Analysis can be re-run against updated data by your team using delivered code and configuration files.
Honest Scope Assessment
If your data cannot support the analysis you are asking for, we communicate that in scoping — not after billing for an engagement that cannot deliver.
Code and Documentation Handoff
Every engagement delivers working code, a technical documentation package, and an engineering guidance document. You own everything delivered.
PDPA Compliance
Engagements involving personal data are managed in accordance with Singapore's Personal Data Protection Act. Data minimisation principles applied throughout.
Milestone-Based Communication
Structured written updates at defined project milestones. You stay informed without overhead, and nothing is lost between verbal conversations.
// GET STARTED
Not sure which engagement is right?
Send us a brief description of your facility and what you are trying to understand. We will tell you which engagement applies and what we would need to see from you before scoping begins.