Three solutions for your operations
Each solution is detailed below. Click on any service to understand implementation, process, and pricing.
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Implementation approach
Each solution follows a consistent methodology: initial assessment of your specific requirements, design of a tailored approach, implementation with close collaboration on your team's operational side, thorough training and documentation, and ongoing support as your systems mature.
Our timelines are realistic. We don't rush deployments. Instead, we build systems carefully, test thoroughly, and ensure your team understands every element before we hand off operational responsibility.
AI for Manufacturing Quality
Computer vision combined with statistical learning to identify quality issues faster and more consistently than manual inspection alone. The system flags anomalies for human review within your existing quality management workflow.
- Real-time defect detection
- Integration with existing QMS systems
- Model retraining as processes evolve
- Operator training and documentation
HKD 12,000
Timeline: 6–10 weeks from start to operational deployment
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How it works
Assessment & Setup
We visit your facility, understand your quality control process, and identify where computer vision can add value. We discuss camera placement, lighting, and integration with your current systems.
Data Collection & Training
We gather images of acceptable and defective products. Using this data, we train a model specific to your products and quality standards.
Testing & Refinement
We test the model against new production data, review false positives and false negatives, and refine thresholds until performance meets your requirements.
Integration & Training
We integrate the system with your QMS, install hardware, and train your quality team on operation, monitoring, and basic troubleshooting.
Ongoing Support
We monitor performance and remain available for questions, model updates as your product mix changes, and optimisation over time.
Text Summarisation Engine
Automatically condenses long-form text — reports, legal documents, meeting transcripts, research papers — into concise summaries while retaining key information. The engine learns your document types and organisation's vocabulary.
- Extractive & abstractive modes available
- Domain-specific vocabulary tuning
- Integration with document management systems
- Batch processing capabilities
HKD 6,800
Timeline: 3–5 weeks from samples to production deployment
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Document Review
We examine samples of the documents your organisation processes — legal contracts, technical reports, meeting minutes, etc. — to understand structure, vocabulary, and summary requirements.
Configuration & Tuning
We configure the engine with extractive, abstractive, or hybrid approaches depending on your needs. We tune it to recognise domain-specific terminology and document structures.
Testing & Refinement
We generate summaries from sample documents, compare them against human summaries, and adjust parameters until output quality meets your standards.
Integration Setup
We integrate with your document management system, establish batch processing or real-time workflows, and configure access controls and audit logging.
Training & Handoff
We train your team on using the system, interpreting summaries, and flagging cases where output quality is insufficient for review.
AI Readiness Workshop
A structured session for leadership and operational teams to explore what AI implementation actually requires — data, infrastructure, skills, and organisational readiness. Delivered with interactive exercises and self-assessment tools.
- Realistic expectations about AI capabilities
- Evaluation framework for your processes
- Organisational readiness self-assessment
- Post-workshop workbook and action templates
HKD 4,200
Duration: Full-day session or two half-day sessions
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Workshop agenda
What AI Actually Is (and Isn't)
Clear definitions. Common misconceptions. Real-world applications and limitations. No marketing hype.
Where AI Succeeds & Fails
Case studies from manufacturing, document processing, and logistics. Honest assessment of what's realistic in each domain.
Data Readiness Assessment
Interactive exercises. Participants evaluate their current data quality, collection practices, and governance. Realistic discussion of data improvements needed.
Organisational Readiness
Change management and skills. Team assessment. Identifying champions and addressing resistance. Building a realistic implementation roadmap.
Decision Framework
Structured approach to evaluate potential AI projects. Scoring and prioritisation. Planning next steps with confidence and clarity.
Quick comparison
| Feature | Manufacturing Quality | Text Summarisation | AI Readiness |
|---|---|---|---|
| Price | HKD 12,000 | HKD 6,800 | HKD 4,200 |
| Timeline | 6–10 weeks | 3–5 weeks | 1–2 days |
| Type | Continuous deployment | Continuous deployment | Strategic planning |
| Primary User | Quality engineers | Document processors | Leadership teams |
| Outcomes | Faster defect detection | Reduced processing time | Clear strategy & roadmap |
| Training Required | Yes, hands-on | Yes, operational | Yes, strategic |
Standards across all solutions
Data Security & Privacy
All systems follow PDPA guidelines. Data is encrypted in transit and at rest. Access is logged and auditable. Models are trained on your data only, never shared externally.
Transparent Implementation
You understand every step. We document design decisions, model performance metrics, and integration details. No black boxes.
Comprehensive Training
Your team receives hands-on training, detailed documentation, and access to our support team. System ownership transfers to you, not locked into ongoing vendor dependency.
Ongoing Optimisation
Post-implementation, we monitor performance, refine models as your processes evolve, and remain available for strategic questions.
Ready to discuss your situation
Each organisation is different. Let's explore which solution fits your operations.
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