Stories that balance insight with confidentiality

Challenge

Thai ceremonies involve complex vendor coordination, budget tracking, and auspicious timing selection. Traditional methods lead to fragmented communication, budget overruns, and missed cultural requirements.

Solution

AI-powered platform connecting ceremony buyers with verified vendors, featuring automated planning workflows, budget calculator with cultural considerations, and Thai auspicious timing selection based on traditional calendars.

Challenge

Healthcare providers needed separate platforms for clinical care and wellness programs, leading to fragmented user experience, duplicate billing systems, and difficulty tracking patient journey across care modalities.

Solution

Unified platform with dual UI modes (Clinical Care and Wellness) sharing backend infrastructure, user accounts, and billing system with entitlement-based feature access and cross-modal analytics.

Challenge

Organizations struggled to capture, organize, and retrieve institutional knowledge efficiently across departments, leading to information silos, duplicate work, and difficulty finding relevant expertise.

Solution

RAG + LLM powered knowledge management system with AI-powered search, intelligent document processing, and personalized recommendations based on user roles and project contexts.

Challenge

Cloud-dependent AI had latency and privacy issues.

Solution

Jetson/RPi edge with on-device LLM; secure offline-capable pipeline.

Challenge

Manual quality inspection was slow, inconsistent, and prone to human error, leading to defective products reaching customers and high inspection costs.

Solution

AI-powered vision system with real-time defect detection, automated sorting, and quality analytics dashboard for production line optimization.

Challenge

Unplanned equipment failures caused production downtime and maintenance costs, with reactive maintenance approaches being inefficient and expensive.

Solution

IoT sensor network with machine learning models for predictive maintenance, automated alerting, and maintenance scheduling optimization.

Challenge

Manual quality inspection was slow, inconsistent, and prone to human error, leading to defective products reaching customers and high inspection costs.

Solution

AI-powered computer vision system using tacit knowledge transfer from expert inspectors to automatically detect defects and sort products with 90%+ time reduction.

Challenge

Environmental conditions in manufacturing facilities needed precise control, but manual monitoring and adjustment was inefficient and often reactive rather than predictive.

Solution

Time-series analysis system that collects environmental data at specified intervals, performs anomaly detection, and automatically controls devices to maintain optimal conditions.

Challenge

Lack of proactive insights and timely anomaly detection from complex data, leading to reactive decision-making.

Solution

Machine Learning-driven data analysis to identify variable relationships, enabling predictive recommendations and proactive anomaly detection for improved operational management.