ADSM TECH + HAFISO SYSTEM PTE LTD
Industrial AI & Automation Solutions in Singapore
Connect machines, data and AI.
ADSM works with HAFISO System Pte Ltd to provide Industrial AI & Automation solutions combining AI, software development, industrial automation, machine vision, controls and system integration.
Support projects ranging from machine monitoring and predictive maintenance to computer vision, industrial AI assistants, robotics and smart factory solutions.
Visit HAFISO System (opens in a new tab)
INDUSTRIAL AI & AUTOMATION
What We Can Help With
Machine Monitoring & Smart Factory
Real-time machine status, equipment data, downtime monitoring, alerts, production visibility and operational dashboards.
Explore Machine MonitoringPredictive Maintenance & Anomaly Detection
Monitor equipment behaviour, identify abnormal patterns and support maintenance teams in detecting potential issues earlier.
Explore Predictive MaintenanceAI Vision Inspection
Use computer vision for product inspection, defect detection, component verification, OCR, counting and quality control.
Explore AI Vision InspectionIndustrial Safety & Video Analytics
AI-assisted monitoring for PPE, restricted zones, unusual events and industrial environments.
Explore Safety & Video AnalyticsIndustrial AI Assistant
AI assistants configured using approved equipment manuals, SOPs, maintenance history, service records and internal technical knowledge.
Explore the Maintenance AssistantOEE & Production Analytics
Track machine availability, performance, production output, downtime and operational efficiency. Define consistent production and quality measures before calculating OEE.
Energy Monitoring & Intelligence
Monitor machine or site-level energy consumption and identify unusual usage patterns or inefficiencies.
Robotics & Intelligent Automation
Combine robotics, machine vision, sensors, software and AI for more advanced industrial automation workflows.
AI Technical Document Intelligence
Search and analyse manuals, SOPs, maintenance records, service reports and technical documents using AI.
Explore Technical Knowledge AssistanceCustom Industrial AI Integration
Custom integrations between AI, business systems, industrial systems, databases, sensors, PLCs and other operational systems.
CONNECTED OPERATIONS
From Factory Floor to Management
Connect operational information to useful decisions. The actual design depends on the machines, existing systems, data access and site requirements.
- Machines / Sensors / Cameras
- PLC / Industrial Systems
- Data Collection & Integration
- Cloud / Application Platform
- AI & Analytics
- Dashboard / Alerts / Workflow / Management
PRACTICAL APPLICATIONS
AI Use Cases for Daily Operations
AI can analyse machine data, images and approved records to support the people responsible for operations. Each use case needs suitable inputs, agreed review steps and evaluation in the intended environment.
- AI-assisted machine abnormal behaviour detection
- Equipment downtime alerts for the responsible team
- Predictive maintenance support based on available operating history
- Automated visual inspection with review for uncertain cases
- Computer vision that can help identify product defects
- Production data analysis to investigate bottlenecks
- Energy usage anomaly detection
- A maintenance troubleshooting assistant using approved information
- Technical document search with source references
- Automated daily production summaries for staff review
- AI root-cause analysis assistance to support investigation
- Maintenance ticket automation using agreed triggers and approvals
SINGAPORE INDUSTRIES
Industrial AI for Different Operations
Manufacturing
Machine visibility and connected production workflows.
Precision Engineering
Component checks and equipment performance visibility.
Electronics
Assembly verification, inspection and traceability.
Food Manufacturing
Packaging checks and process monitoring.
Chemical & Process Industries
Equipment trends and operational data analysis.
Warehousing & Logistics
Movement visibility, counting and operational workflows.
Marine & Offshore
Equipment records and maintenance support.
Facilities & Building Operations
Energy, asset and site monitoring.
Equipment & Machinery Companies
Service knowledge and installed-equipment insights.
ADSM + HAFISO
ADSM Tech
AI, Software & Industrial Engineering — Working Together
ADSM Tech works with HAFISO System Pte Ltd to deliver projects requiring a combination of AI, software, automation and industrial engineering expertise. Both teams bring AI and software capabilities to this joint offering.
Our combined capabilities can support solutions involving:
- Artificial Intelligence
- Machine Learning
- Software Development
- Cloud Platforms
- Data Analytics
- Industrial Automation
- PLC & Control Systems
- Sensors & Instrumentation
- Machine Vision
- Robotics
- System Integration
Depending on project requirements, the combined team can support projects from application development and AI implementation through to industrial system integration and on-site deployment.
Learn More About HAFISO (opens in a new tab)START SMALL, DEFINE THE SCOPE
Three Starting Points for Discussion
A focused assessment or pilot can help clarify what is feasible before a wider implementation. These are proposed starting points for discussion with ADSM and HAFISO, rather than fixed packages. Scope, responsibilities, pricing and timing would be agreed after a joint review.
Machine Monitoring Assessment
Start with: one machine, line or recurring downtime problem.
Useful inputs: equipment details, available PLC or sensor data, alarm records and the team’s current reporting process.
A scoped assessment could cover: a data-availability review, suggested monitoring points and a dashboard or alert concept.
Evaluate: whether the available signals are reliable and useful for the operational question.
Explore machine monitoringVision Inspection Feasibility Study
Start with: one product type and a clearly defined inspection task.
Useful inputs: representative good and defective samples, current inspection criteria, camera access and lighting conditions.
A scoped study could cover: image-capture requirements, a limited detection trial and a review of missed detections and false alarms.
Evaluate: performance on representative samples and how uncertain results should reach a human reviewer.
Explore AI vision inspectionMaintenance Assistant Pilot
Start with: one equipment family and a small approved document set.
Useful inputs: manuals, SOPs, service records, access rules and example technician questions.
A scoped pilot could cover: a searchable knowledge set, source-linked answers and a review of representative questions.
Evaluate: answer usefulness, source traceability and when the assistant should refer a question to qualified personnel.
Explore maintenance assistantsADSM + HAFISO
A Proposed Approach to Joint Projects
Start by contacting ADSM with the operational challenge. The proposed approach below gives customers a clear route from an initial enquiry to an agreed project scope. Project-specific participation, responsibilities and support arrangements are confirmed with both teams before a commitment is made.
One Initial Enquiry
Use ADSM’s existing contact channel to describe the process, equipment and desired improvement. Relevant information can then be prepared for a joint technical discussion.
Joint Requirements Review
Review the AI, software, engineering and integration needs together. Both teams have AI and software capabilities; responsibilities should follow the project’s requirements and available expertise.
Agreed Scope and Responsibilities
Define deliverables, a project contact, technical responsibilities, access requirements and evaluation criteria in the proposal. This includes identifying any third-party or equipment-vendor dependencies.
Validation, Handover and Support
Agree how the solution will be tested, what documentation and training are needed, and how support requests will be handled. On-site work and ongoing support are scoped explicitly.
This is a proposed working approach, not a fixed delivery or support commitment. The final arrangement is agreed for each project.
Start a project discussionFROM DISCOVERY TO DEPLOYMENT
A Practical Project Approach
Understand Operation
Understand the existing workflow, equipment, systems and business requirements.
Identify Opportunity
Determine what should be monitored, automated or analysed.
Design Solution
Define the AI, software, hardware and integration architecture.
Implementation & Integration
Develop and integrate the required systems.
Monitor & Improve
Review results and refine the solution as more operational data becomes available.
BEFORE YOU START
Industrial Project Questions
Can a project connect to our existing machines or PLCs?
Possibly. The initial review should check the equipment, permitted interfaces, available signals and vendor restrictions. Existing connections may be usable; additional instrumentation or integration work may be needed. Compatibility should be assessed before it is promised.
Do we need a complete smart factory system to begin?
No complete-factory scope is assumed. A discussion can start with one machine, inspection task or equipment knowledge set. The team can then assess whether a limited pilot is useful and what it would require.
What information should we prepare?
Share the operational problem, equipment type, existing systems and any available sample data or approved documents. For vision inspection, representative samples and inspection criteria are useful. Avoid sending confidential operational data before agreeing an appropriate way to share it.
Can the solution run on-site or in the cloud?
Deployment options should be assessed against latency, connectivity, data access, security and maintenance requirements. An on-site, cloud or combined design may be considered where feasible; no deployment model is assumed before scoping.
Who handles the AI, software and engineering work?
ADSM and HAFISO both bring AI and software capabilities alongside industrial engineering, automation and integration expertise. The proposed approach is to allocate responsibilities jointly for each project, rather than divide the work into a fixed software-versus-hardware split.
How are data access and ownership handled?
Data access, permitted use, retention, hosting and ownership terms should be recorded in the project agreement. The requirements review should identify which records can be used, who can access them and what information may be shared between the project teams.
What results can a pilot establish?
A pilot can help test a defined question on representative equipment, samples or documents. Agree evaluation criteria in advance, including errors, exceptions and human review. Pilot findings do not guarantee failure prediction, defect detection, workplace safety or savings across a full operation.
Who provides on-site work and ongoing support?
The project proposal should name the relevant contacts, responsibilities and support scope, including any on-site deployment, training, maintenance or response arrangements. These details are agreed with the participating teams rather than assumed from the website.
START A CONVERSATION
Have an Industrial Process You Want to Improve?
Tell us about your machines, workflow or operational challenge. We can assess where AI, software or industrial automation may be useful.
What to include in your enquiry (optional)
Share whatever is available. You do not need to have all the technical details before contacting us.
- Your industry and current process
- Number and type of machines or equipment
- The main operational problem
- What you want to monitor or automate
- Existing PLC, control system or application, if known
- Estimated project timeline