INSPEKTION SERVICES
Data Analytics & ML
Consolidate and analyze data, and apply AI to organizational documents
Analyze organizational data, develop AI/ML models and generate predictions. Start by preparing usable data, then evaluate models against actual needs, including AI assistants that find answers in documents.
Discuss your Data Analytics & AI needs
Work we can support
Develop and evaluate Machine Learning models for your use case
Perform in-depth analysis, forecast trends and detect anomalies
Suitable project needs
- Production data is spread across files and machines and must be opened separately
- There are many maintenance reports and technical documents, but historical records are hard to find
- All departments need a shared dashboard for KPIs, defects, output or sales
Scope and deliverables agreed together
- Agreed data definitions, sources and quality checks
- Pipelines, reports or models for the task, with test results and limitations
- Data usage documentation, evaluation methods and post-handover monitoring plan
Work packages and engagement options in this category
Explore the design, development, installation and maintenance work you need, with scope tailored to your project.
Data Analytics & ML
Connect Data and Develop AI for Organizations
Organized, quality-checked data structure
View work package details Connect Data and Develop AI for OrganizationsRelated project examples
Oil refinery maintenance and repair services
AI system searches repair history of valves from maintenance inspection reports
Automotive parts manufacturer
Central cloud database consolidating KPIs, defects, sales and profit
Automotive parts manufacturer in Thailand
Migrate the production-data website for 11 lines to a central server
Automotive parts manufacturer in Thailand
Web app P-Chart records defects on server in factory
How we approach the work
- 01
Data assessment
Assess data sources, completeness and how the results will be used.
- 02
Prepare and trial
Structure the data, build reports or models, and evaluate them against a test set.
- 03
Use and monitor
Connect results to actual work, with review methods and data quality maintenance.
Information to prepare for our discussion
- Business questions and metrics for decision-making
- Data sources, samples and access permissions
- People responsible for verifying reports or model outputs
Technologies that can work together
Start with your actual project needs
Tell us about the problem, your current systems and what you want to improve. We help define the service areas, trial scope and information needed before work begins.

