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Proven Impact

Real-World AI Implementations

From financial institutions and government agencies to global manufacturing hubs — BETA's end-to-end AI infrastructure is driving measurable efficiency and intelligence across industries.

1
Building a Risk Control LLM for a Major Bank
Finance (Banking)
1

Building a Risk Control LLM for a Major Bank

Solution

Enterprise Private LLM Training

Challenge
  • Data sensitivity prohibited public cloud usage for credit modeling
  • GPU resource constraints led to 20–30 day training cycles
  • Unsustainable OpEx with annual GPU costs exceeding $10M HKD
Key Results
70% Faster Iteration: Training cycles slashed from 23 days to 7 days
Absolute Data Sovereignty: 100% on-premise training, eliminating leak risks
60% Cost Reduction: Saved approx. $12M HKD/year in computing overhead
Precision Boost: Improved credit assessment accuracy by 21%
2

Knowledge-Based Q&A LLM for Government Services

Solution

Private Training + Knowledge Base LLM

Challenge
  • Massive government documents and complex service guides overwhelm traditional search
  • Generic LLMs lack understanding of local regulations; data residency required
  • Legacy knowledge base delivers poor search experience
Key Results
92% Response Accuracy: Up from 53% with traditional keyword search
40% Human Resource Optimization: Significant reduction in manual inquiries
Regulatory Compliance: Built-in audit system ensures policy-aligned responses
2
Knowledge-Based Q&A LLM for Government Services
Government
3
AI Training Center for a Multinational Electronics Manufacturer
Electronics Manufacturing
3

AI Training Center for a Multinational Electronics Manufacturer

Solution

Private Training + Proprietary Computing Cluster

Challenge
  • Manual inspection fatigue led to an 8% defect escape rate
  • Design and defect data must remain on-premises
  • Slow training cycles incompatible with rapid product iterations
Key Results
Built a 4-rack proprietary training cluster
Training time reduced from 3 days to 8 hours
3M HKD annual computing cost savings
Defect prediction accuracy: 97.3%
4

Intelligent Policy Review System

Solution

Knowledge-Enhanced Vertical LLM

Challenge
  • Complex insurance terms, long training for new reviewers
  • Scattered historical contracts and claims data
  • Review errors cause direct payout losses
Key Results
New staff review accuracy matches senior-level performance
Review time reduced from 15 minutes to 1 minute
Claims dispute rate decreased by 28%
Built a centralized AI-powered policy intelligence system
4
Intelligent Policy Review System
Insurance
5
Large-Scale AI Inference Hub
E-commerce Platform
5

Large-Scale AI Inference Hub

Solution

Inference Acceleration Platform

Challenge
  • Billions of daily customer service dialogues, high GPU inference costs
  • Severe peak queuing, latency exceeds 800ms
  • Complex and error-prone multi-GPU node maintenance
Key Results
Replaced 40% of GPU nodes with proprietary silicon
Inference cost reduced by 65%
Peak response latency stable at <120ms
Customer service automation rate improved from 68% to 91%
6

LLM-Powered Content Moderation System

Solution

Inference Acceleration + Audit Platform

Challenge
  • High pressure on video/image violation detection
  • High GPU costs cause review queue backlog
  • Lack of unified security audit mechanism
Key Results
Daily review capacity scaled from 15M to 62M
GPU costs reduced by 70%
Full-traceability compliance platform for every violation
6
LLM-Powered Content Moderation System
Content Moderation
7
Real-Time Traffic Intersection Analytics
Smart Transportation
7

Real-Time Traffic Intersection Analytics

Solution

Edge AI Nodes

Challenge
  • Tens of thousands of urban cameras; cloud upload not feasible
  • High cloud latency prevents real-time traffic control
  • Severe congestion with low signal optimization efficiency
Key Results
Traffic analysis latency reduced from 3s to 80ms
Traffic signal timing efficiency improved by 35%
Peak congestion index decreased by 22%
8

Automated Factory Defect Detection

Solution

Industrial Vision AI

Challenge
  • Manual inspection fatigue led to an 8% defect escape rate
  • Massive production-line image volumes; high cloud transmission costs
  • Rapid process changes outpace traditional algorithms
Key Results
0.8% Defect Escape Rate: A 10x improvement in quality control
3M HKD Annual Labor Savings: Automated inspection across 40 production lines
Agile Deployment: New model adaptation in just 1 day
8
Automated Factory Defect Detection
Industrial Manufacturing
9
Smart Retail Analytics: Traffic & Sales Intelligence
Retail
9

Smart Retail Analytics: Traffic & Sales Intelligence

Solution

Edge AI Nodes + Knowledge Base Model

Challenge
  • Widely distributed stores with high traffic analysis costs
  • Data aggregated at HQ creates slow response cycles
  • Staff training difficult to standardize across locations
Key Results
All data processed locally in-store; HQ monitors operations in real time
Demand prediction accuracy improved by 45%
AI store assistant enables rapid staff onboarding on product knowledge
Revenue per square foot improved by 17%
10

Medical Knowledge Base + AI-Assisted Clinical Reading

Solution

Knowledge Base + Disease-Specific LLM

Challenge
  • Clinicians must review vast case files, guidelines, and imaging standards
  • Steep learning curve for junior physicians
  • Generic LLMs prone to medical hallucinations
Key Results
Clinician query efficiency improved by 70%
AI-assisted imaging interpretation accuracy: 96%
Medical documentation time reduced by 40%
10
Medical Knowledge Base + AI-Assisted Clinical Reading
Healthcare

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