เรื่องราวที่สมดุลระหว่างข้อมูลเชิงลึกกับความลับ
เราใช้ข้อมูลที่ไม่ระบุตัวตน ข้อมูลสังเคราะห์ และข้อมูลสาธารณะเพื่ออธิบายกระบวนการ การป้องกัน และผลกระทบที่วัดได้ โดยปฏิบัติตามแนวทางใน docs/09 และ docs/19
malAI — Thai Ceremony Management Platform
Event Management & Services
ความท้าทาย
Thai ceremonies involve complex vendor coordination, budget tracking, and auspicious timing selection. Traditional methods lead to fragmented communication, budget overruns, and missed cultural requirements.
โซลูชัน
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.
Active users
1,200+
Vendors
350+
DulaeDee — Dual-Mode Wellness Platform
Healthcare & Wellness
ความท้าทาย
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.
โซลูชัน
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.
Active users
2,500+
Platform uptime
99.8%
CereBraKM — AI Knowledge Management
Enterprise Software
ความท้าทาย
Organizations struggled to capture, organize, and retrieve institutional knowledge efficiently across departments, leading to information silos, duplicate work, and difficulty finding relevant expertise.
โซลูชัน
RAG + LLM powered knowledge management system with AI-powered search, intelligent document processing, and personalized recommendations based on user roles and project contexts.
Documents indexed
50K+
Daily queries
3,000+
Edge AI Computer with LLM
Edge Computing & IoT
ความท้าทาย
Cloud-dependent AI had latency and privacy issues.
โซลูชัน
Jetson/RPi edge with on-device LLM; secure offline-capable pipeline.
Response time
<500ms
Deployments
80+
Vision Quality Inspection System
Computer Vision
ความท้าทาย
Manual quality inspection was slow, inconsistent, and prone to human error, leading to defective products reaching customers and high inspection costs.
โซลูชัน
AI-powered vision system with real-time defect detection, automated sorting, and quality analytics dashboard for production line optimization.
Items inspected
10K+/day
Production lines
5
Predictive Maintenance IoT Platform
Industrial IoT
ความท้าทาย
Unplanned equipment failures caused production downtime and maintenance costs, with reactive maintenance approaches being inefficient and expensive.
โซลูชัน
IoT sensor network with machine learning models for predictive maintenance, automated alerting, and maintenance scheduling optimization.
Sensors deployed
200+
Equipment monitored
50+
Computer Vision Defect Detection System
Automated Quality Control
ความท้าทาย
Manual quality inspection was slow, inconsistent, and prone to human error, leading to defective products reaching customers and high inspection costs.
โซลูชัน
AI-powered computer vision system using tacit knowledge transfer from expert inspectors to automatically detect defects and sort products with 90%+ time reduction.
Items inspected
15K+/day
Production lines
8
Expert knowledge
100+ rules
Time-Series Environmental Control System
Smart Environment Management
ความท้าทาย
Environmental conditions in manufacturing facilities needed precise control, but manual monitoring and adjustment was inefficient and often reactive rather than predictive.
โซลูชัน
Time-series analysis system that collects environmental data at specified intervals, performs anomaly detection, and automatically controls devices to maintain optimal conditions.
Data points collected
1M+/day
Controlled devices
150+
Response time
<30s
Predictive Analytics & Recommendation System
Data Analytics & Machine Learning
ความท้าทาย
Lack of proactive insights and timely anomaly detection from complex data, leading to reactive decision-making.
โซลูชัน
Machine Learning-driven data analysis to identify variable relationships, enabling predictive recommendations and proactive anomaly detection for improved operational management.
Prediction accuracy
90%+
Data points analyzed
5M+/day