Service

A. General Information

1. Title

CuberAI AgenticX

2. Implementation period of the project/service:
From
Oct-2024
To
--
3. Website
https://www.cuberai.com/
4. Geographical coverage
Regional: Asia and the Pacific
Hub Point: Afghanistan
5. Participating agencies/entities of the project/service:
a. Development stage
Lead agencies/entities
Cuber AI Technologies Pte Ltd (Singapore)
Other participating agencies/entities
--
b. Operational stage
Lead agencies/entities (op)
Cuber AI Technologies Pte Ltd (Singapore)
Other participating agencies/entities (op)
• UBTS Pte Ltd (Singapore - exploratory partnership)
• FIATA (roundtable participation)
• OceanX Network (roundtable participation)
• Empire Bison Singapore (roundtable participation)
6. Main stakeholders/beneficiaries of the service
Traders (big enterprises)
Traders (SMEs)
Transport
Customs brokers
Freight forwarders, trade finance providers, logistics companies (200-300 staff mid-sized firms targeted)
7. Business process category of the service
Commercial Transactions
Forwarding and cargo handling
Transport
Regulatory/official control
Contract fulfillment, Financial settlement, Marketing

B. Lessons Learned

8. Summary description of the project/service
Brief Summary

AgenticX is an AI-powered Agentic Digital Employee platform that automates complex logistics processes end-to-end, using multimodal large language models with autonomous decision-making capabilities to transform supply chain operations.

a. Objective(s)

To elevate human productivity in logistics by enabling professionals to focus on strategic decisions while AI-powered digital employees handle high-volume, repetitive workflows. The platform aims to build equitable, resilient supply chains through human-AI collaboration.

b. Business need for the service (background)

The logistics industry faces workforce shortages and geopolitical disruptions. Organizations require autonomous decision-making capabilities to handle over 100 daily RFQs, manage e-commerce documentation, and respond to supply chain disruptions in real time.

c. Business process covered*

• Order execution to dynamic freight allocation • Autonomous document processing • Shipment disruption prediction • Freight slot negotiation • Predictive demand forecasting • Dynamic risk mitigation • Intelligent resource allocation • Regulatory compliance automation for cross-border logistics documentation

d. Overall architecture and functionalities*

AgenticX features AI Level 4 Autonomy enabling integrated multitasking across complex logistics systems, powered by CuberLLM V2, a multimodal large language model ensuring precision in intent recognition and task execution. The platform transforms basic digital tools into intelligent digital employees with advanced memory, reasoning, contextual understanding, and human-like judgment capabilities.

e. Relevant document/figure
--
9. Documents and data exchanged via the service

• E-commerce documentation • Cross-border logistics documentation • RFQs (Request for Quotations) • Order execution documents • Freight allocation data

10. Data models/databases, proprietary solutions, hybrid approaches

CuberLLM V2 is a proprietary next-generation multimodal large language model (MLLM) developed by Cuber AI for intent recognition and task execution in logistics applications.

11. Main challenges faced during the service

• Adoption resistance from frontline teams • Concerns about AI replacing human jobs • Need for executive sponsorship to drive adoption • Governance requirements evolving alongside automation

12. Lessons learned from the service

• AI should reallocate rather than replace jobs - clients have redeployed up to 10% of operations staff to customer-facing roles, directly increasing topline revenue • Executive sponsorship is crucial for successful adoption • Start with targeted pain points like demand forecasting before expanding • Human-Agentic AI collaboration is more effective than full automation

13. Main benefit(s) of the service
Transaction Time savings
Simplified process
13A. Elaborations/detailed description on benefits gained
--
14. Technical/financial/capacity building/other assistance
--
15. Future plan for expansion of the service

• Continue driving the evolution of intelligent logistics • Shape the global standard for autonomous, adaptive, and resilient supply chains • Expand presence across Asia-Pacific region • Assess Agentic AI's ability to reduce emissions through smarter routing (sustainability goals) • Explore hybrid workforce models integrating human expertise and Agentic AI-driven support

16. Other information or relevant references on the service

• More than 1,000 enterprises across the Asia-Pacific region have deployed AgenticX • Won Supply Chain Innovation Award at Supply Chain Excellence Awards 2025 • Managing Director: Ng Chee Keong (CK) • Launched at World Artificial Intelligence Conference (WAIC) 2025 in July 2025 • Showcased at China-ASEAN Expo 2025 in Nanning • Company registered address: 6 Raffles Quay #14-02 Singapore 048580

17. Relevant document regarding the service
--

C. Relevant Standards

18. Name(s) of any international, national legal instrument underpinning the service
--
19. Electronic message standard
19A. Electronic message standard supporting the service
--
19B. Type of standard for electronic message applied for the service
--
20. Technical communication standard
20A. Technical communication standard supporting the service
--
20B. Type of technical communication standard applied for the service
Proprietary solution
 
Proprietary solution was applied because:
- No relevant international standard
21. Security-related standards*
21A. Security-related standard supporting the service
--
21B. Type of security-related standard applied for the service
--
22. Other Technical Information
22A. Interface developed for data exchange with an internal system
--
22B. Other technical implementation information
• AI Level 4 Autonomy enabling integrated multitasking across complex logistics systems
• CuberLLM V2: next-generation multimodal large language model
• Advanced memory, reasoning, and autonomous decision-making capabilities
• Contextual understanding and human-like judgment
• Principal activity classified as: Artificial Intelligence Large Language Model Application