National Infrastructure & Financial Systems
National infrastructure and financial institutions
Experience with: National ITMX • TGI • AIS
Data Lakehouse, data quality and enterprise infrastructure for large-scale information systems.
ENGINEERING WITH PURPOSE
Inspektion — Engineering AI Vision, IoT and software for real operations
Inspektion (Inspektion Co., Ltd.) designs and develops hardware, software and AI for factories, government agencies and organizations. Founded in 2010 in Nonthaburi Province, our team works from circuits and sensors through to enterprise data systems and AI, with local after-sales support.
NATIONAL & ENTERPRISE EXPERIENCE
Experience across industry, enterprise and research
We use experience in manufacturing, information systems and research to define a scope that fits your organization.
Government & Public Sector
Government and public agencies
Experience with: Government & Public Sector
Information systems, identity management and cybersecurity for public-sector operations.
Deep Tech, AI & Research
Research and deep technology
Experience with: Department of Environmental Quality Promotion (DEQP) • Mahidol University
AI research with research institutions, including breath analysis and predictive maintenance.
Smart Manufacturing & Industrial IoT
Industry and manufacturing
Experience with: Denso • SCG • Unilever • Emerson
SPC, Industrial IoT and AI Vision connecting machines with production information.
CE 2010Company founded
55Cases with documented delivery
9Industry sectors
13Cases delivered to public agencies and institutions
Additional prototypes/PoCs and previously developed capabilities: 18 projects (excluded from the figures above)
Public-sector cases count only documented deliveries commissioned by government agencies, public institutions or universities.
What does Inspektion do, and who do we serve?
We offer 3 product groups and services across 6 areas of expertise for teams that collect machine and operational data, inspect quality with images, or consolidate data for decisions. Products in each group are listed below.
What are our 6 areas of expertise?
Our 6 areas are Data Analytics & AI, Machine Vision, AIoT, Consult, Security and Software Development. Each has at least 1 real case with a scope you can review.
Data Analytics & AI
Consolidate and analyze data, and apply AI to organizational documents
Our experience: Delivered an AI system on nimitFlow that searches valve maintenance history from inspection reports for oil-refinery maintenance in the energy sector in 2026. The client signed a work-completion letter.
Machine Vision
Part inspection using cameras and image processing
Our experience: Designed and installed 8 roof-tile crack inspection camera systems on 2 production lines for a construction-materials factory in 2016–2017.
AIoT
Bring signals from machines, sensors and measuring instruments into your system
Our experience: Installed 20 DoRare Station water-level monitoring points along rivers in 4 Thai provinces for flood monitoring in 2026. Each station uses solar power and sends data over a 4G network.
Consult
Consulting, planning and team training
Our experience: Delivered a 60-minute session on practical AI applications during a 1-day in-house AI training course for a stainless-steel manufacturer in Thailand in 2026.
Security
Deploy enterprise servers, cloud infrastructure and access permissions
Our experience: Maintained an Active Directory system for a government agency under a 12-month contract in 2025–2026.
Software Development
Build task-specific apps and web applications
Our experience: Developed a web-based prototype with 8 functional areas for registering and tracking electrical and electronic waste for Thailand's Electrical and Electronics Institute in 2021.
What have we learned from real work, and what does it mean for your project?
We apply 3 lessons when planning new projects: verify figures against source data, start with a small scope and expand, and measure prototype results before full investment.
Verify figures against source data
- Our experience
- Implemented mold shot counting and maintenance reminders for an automotive-parts manufacturer in Thailand in 2021, then installed the system at its production base in Cambodia in 2022.
- What we learned
- System figures support decisions when they match the machine's source data. Before closing the project, we compared system shot counts with the injection machine's report files.
- What does it mean to you?
- We recommend including checks against source data in your project's acceptance criteria.
Start with a small scope, then expand
- Our experience
- Expanded a Power Apps application for 5M1E records (Man, Machine, Method, Material, Measurement and Environment) to an initial 6 production lines at an automotive-parts manufacturer in Thailand in 2022. The 2022 annual project summary states that the first phase was completed and the client commissioned phase 2.
- What we learned
- The initial scope should be small enough to define a complete test list. For this project, we prepared acceptance tests (Exit Criteria) for the first phase, from login through approval.
- What does it mean to you?
- Start with the first line or department, complete acceptance, then expand without investing across the entire factory at once.
Measure the prototype before investing
- Our experience
- Built an AI camera prototype to check that kit trays contained all required parts for an automotive-parts manufacturer in Thailand in 2025. The demonstration prototype was mounted on a tray-handling cart, and its AI model was trained through a workflow on nimitFlow.
- What we learned
- A demonstrable prototype does not establish that a system is ready for operation. We do not state accuracy figures without a test report.
- What does it mean to you?
- Agree on evaluation methods before testing your AI system, such as defect detection and false-alarm rates. Run it alongside the existing method before switching fully.
Our journey
The company was founded in 2010. The timeline below includes only events supported by documents or case records.
2010
Inspektion Co., Ltd. was registered in Nonthaburi Province.
2021
Developed a web-based prototype for registering and tracking electrical and electronic waste (E-Waste) for the Electrical and Electronics Institute.
Read the E-Waste tracking prototype case2024
InQC received 1st runner-up in the packaged software category at the Machinery Technology Awards.
Explore InQC, the SPC application for AndroidHow do we work with you?
We work in 4 stages: survey, design, installation and support. We agree on scope and acceptance criteria with you before installation begins.
1
Survey
Assess the requirements and on-site data; arrange a site survey when needed.
2
Design
Agree on the scope-of-work documents and acceptance criteria.
3
Installation
Install and test the system against the agreed criteria.
4
Maintenance
Provide manuals, training and system support within the agreed scope.
Our expert
Piyorot Khongchuay is a specialist in machine vision, artificial intelligence and manufacturing data, with more than 20 years of experience in these fields.
Piyorot Khongchuay
He began by designing camera inspection machines, from lighting, lenses and mechanisms to algorithms.
His work later expanded to factory-wide machine data systems, SPC (statistical process control), measurement instruments, vibration analysis and enterprise IT infrastructure. He also teaches AI applications in manufacturing.
- Academic publications
- Publications at international conferences on machine learning and image analysis
- Book
- AI for Smart Factory — 6 Pillars for Practical AI Adoption in Thai FactoriesIn preparation for publication
THAILAND DIGITAL CATALOG
nimitFlow is listed in the Thailand Digital Catalog
nimitFlow by Inspektion Co., Ltd. is listed in the Thailand Digital Catalog of the Digital Economy Promotion Agency (depa).
The certificate states that nimitFlow meets the requirements of the Thailand Digital Catalog and dSURE software.
Product named in the certificate: nimitFlow · INSPEKTION CO., LTD.
Certificate validity: –
What standards, test results and awards do we have?
We have CE/FCC test reports for InGauge USB V2.1 and a 1st runner-up award for InQC in the packaged software category at the Machinery Technology Awards 2567 (B.E.). Details of each item appear below.
Previously held ISO/IEC 29110 (2018–2024)
A software development process standard for small organizations
CE/FCC for InGauge
InGauge USB V2.1 has CE/FCC test reports from Waltek Testing Group.
Machinery Technology Awards 2567
1st runner-up in the packaged software category for manufacturing and services, for InQC — organized by the Ministry of Higher Education, Science, Research and Innovation together with the Thailand Management Association (TMA)
Development team in Thailand
Founded B.E. 2553
Local after-sales support
Customers who trust us
Which industries have we worked with?
We have 55 cases with documented delivery across 9 industry sectors. The figures below count all cases in each sector, including prototypes and work in progress.
Each case describes the operational requirements, our approach and the project status so you can compare it with your own needs.
26
General manufacturing
19
Automotive
13
Government
11
Services
6
FMCG
2
Energy
2
Electronics
2
Finance
1
Government and water management