AI Agent
An enterprise platform that leverages AI agents powered by self-sovereign data to autonomously handle payments, reservations, and asset management. The beta version was released in February 2026.
What Is an AI Agent?
Users entrust their self-owned data to AI agents within the scope of their authorization. This is an "Agentic Payment" platform that eliminates data monopolization by platforms while achieving both personalized accuracy and autonomous execution.
Since 2026, the focus of the AI competition has shifted from “model quality” to “system design.” Relying solely on a single LLM is not enough to differentiate oneself from competitors using the same foundational model. True competitive advantage lies in the comprehensive optimization of data, orchestration, and user experience.
Secure Data Access and Permissions Management
The Web3 authentication platform, Login3.0, stores users’ IDs and consent, while AI Agents access data and operate autonomously only within the scope of that permission. By separating authentication from execution, we enable agents to operate while safeguarding data sovereignty.
Authentication, ID, and Consent
Users are authenticated via DID/VC, and they manage the scope of their data sharing permissions themselves.
Secure Data Access
Provide only the data within the authorized scope to the agent via an encrypted channel.
Autonomous Execution
Make decisions regarding payments, reservations, and operations based on policies, and execute them autonomously under specified conditions.
Key Features and Unique Selling Points
Four pillars that differentiate the company through data sovereignty and orchestration, rather than a single LLM.
Self-Sovereign Data
Users manage their own activity history, payment information, and preferences, and set the scope of permissions granted to AI. This eliminates data monopolization and ensures the accuracy of personalization.
Orchestration
Natural language instructions are broken down into tasks, and agents responsible for information gathering, decision-making, and execution work together. Optimization is achieved through a combination of domain-specific models and an integration layer.
Seamless integration with existing infrastructure APIs and
No need to build a new system. Integrate via API with existing payment, reservation, and CRM systems, and implement AI in phases. From PoC to full-scale operation in as little as one month.
Policy-Based
Autonomous Execution
Agents make autonomous decisions based on predefined rules, such as maximum amounts, time frames, and categories. Conditional execution is possible without human intervention.
Technological Competitive Advantage — Three Moats
Structural barriers to entry that cannot be replicated by the model alone.
Orchestration Mote
A layer that optimally routes multiple models and tools. .
Data Mote
Permission-based personalized data using self-sovereign data. .
UX Moat
Optimal design of the balance between autonomous execution and human intervention. .
Compared to general-purpose AI, domain-specific AI agents have a time-to-value that is 3.7 times higher and an ROI that is 2.8 times higher (Source: Foundation Capital, 2026 survey)
Use Cases
We are integrating autonomous processing across industries, from travel and finance to customer success and asset management.
Travel Agent AI
Automatically suggests and books the best hotels and transportation options based on past reservations and preference data. Monitors price fluctuations and availability in real time, and makes instant bookings when conditions are met. Provides end-to-end automated processing, from booking to cancellation, changes, and payment.
Agentic Payment
Based on user-defined policies, the AI evaluates conditions and processes payments autonomously. It automates recurring payments, subscription management, and expense reimbursement. For cross-border payments, it optimizes foreign exchange decisions and timing.
AI Customer Service Agent
Automatically categorizes, prioritizes, and routes inquiries to the appropriate staff. Assists with personalized support that goes beyond FAQs (such as contract changes and refund processing). Integrates with the company’s database in real time to improve the accuracy of responses.
NCBC Super App Integration
Integrated as an AI Agent module on the NCBC platform. Provides autonomous cryptocurrency asset management through a phased rollout progressing from assistant mode to semi-autonomous mode to fully autonomous mode.
Status and Delivery Format
Currently available exclusively through our implementation partners. We provide customized quotes based on your organization's size and required features.
Why not give the AI Agent a try?
We provide one-stop support, from consulting on use cases to Proof of Concept (PoC) design and customized quotes.