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Case studies

เรื่องราวที่สมดุลระหว่างข้อมูลเชิงลึกกับความลับ

เราใช้ข้อมูลที่ไม่ระบุตัวตน ข้อมูลสังเคราะห์ และข้อมูลสาธารณะเพื่ออธิบายกระบวนการ การป้องกัน และผลกระทบที่วัดได้ โดยปฏิบัติตามแนวทางใน docs/09 และ docs/19

9+
โครงการ
9
อุตสาหกรรม
4.9/5
คะแนนลูกค้า

malAI — Thai Ceremony Management Platform

Event Management & Services

–40% planning time95% user satisfaction80% vendor onboarding

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.

ข้อมูลสาธารณะ

Active users

1,200+

Vendors

350+

DulaeDee — Dual-Mode Wellness Platform

Healthcare & Wellness

+60% user onboarding80% user retention–45% operational cost

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.

ข้อมูลสาธารณะ

Active users

2,500+

Platform uptime

99.8%

CereBraKM — AI Knowledge Management

Enterprise Software

+70% knowledge retrieval85% employee adoption90% search accuracy

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.

ข้อมูลสาธารณะ

Documents indexed

50K+

Daily queries

3,000+

Edge AI Computer with LLM

Edge Computing & IoT

99%+ uptime100% on-device capabilityEnhanced analytics depth

ความท้าทาย

Cloud-dependent AI had latency and privacy issues.

โซลูชัน

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

ข้อมูลสาธารณะ

Response time

<500ms

Deployments

80+

Vision Quality Inspection System

Computer Vision

+92% inspection accuracy–75% false alarms<2s response time

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.

ข้อมูลไม่ระบุตัวตน

Items inspected

10K+/day

Production lines

5

Predictive Maintenance IoT Platform

Industrial IoT

–45% downtime reduction–30% maintenance cost88% prediction accuracy

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.

ข้อมูลสังเคราะห์

Sensors deployed

200+

Equipment monitored

50+

Computer Vision Defect Detection System

Automated Quality Control

–90% inspection time+95% detection accuracy–75% false reject rate

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.

ข้อมูลไม่ระบุตัวตน

Items inspected

15K+/day

Production lines

8

Expert knowledge

100+ rules

Time-Series Environmental Control System

Smart Environment Management

+85% environmental stability+25% energy efficiency99.2% anomaly detection

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.

ข้อมูลสาธารณะ

Data points collected

1M+/day

Controlled devices

150+

Response time

<30s

Predictive Analytics & Recommendation System

Data Analytics & Machine Learning

Enabled proactive managementTimely anomaly detectionEnhanced decision making

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.

ข้อมูลไม่ระบุตัวตน

Prediction accuracy

90%+

Data points analyzed

5M+/day