#Japan #AI Technologies #Quality Assurance #Fintech Innovations #Minato, Tokyo

AI MQL Unveils the Co-Creation Model

AI MQL Co., Ltd., a leading firm in the realm of AI and MQL integration based in Minato, Tokyo, has recently revealed an innovative "co-creation model" designed specifically for the fintech sector. This strategic initiative is set to launch on October 27, 2025, and aims to comprehensively support the development, maintenance, operation, and testing of AI systems tailored for financial markets.

The Need for Innovation in Financial Markets

The rise of AI and machine learning (ML) technologies has transformed trading strategies in financial markets, making them integral for maintaining a competitive edge. However, many organizations are grappling with significant challenges that hinder the effective implementation of these advanced technologies:

1. Technical Barriers: Most lack the expertise to integrate complex AI models into existing MT4/MT5 environments.
2. Quality Assurance Shortcomings: Insufficient systems to verify whether applications operate as intended, increasing risks related to bugs.
3. Concerns About System Reliability: Financial systems are mission-critical; hence, downtime cannot be tolerated, coupled with a shortage of skilled site reliability engineers (SRE).
4. Limited Options for Partnerships: While freelancers offer variable quality, large firms typically lack flexibility, making it challenging for businesses to find a strategic tech partner.

In response to these pressing issues, AI MQL has introduced a solution that fosters long-term trust and tangible outcomes with its clients through the "co-creation model." This is not merely a pricing strategy shift, but a comprehensive transformation which positions AI MQL from a service provider to a true fintech partner that collaboratively drives real value.

The Pillars of the Co-Creation Model

AI MQL's co-creation model is built upon three key pillars:
1. Custom Solutions: Each project begins with a thorough consultation to understand the unique challenges faced by clients. This process leads to tailored proposals and estimates.
2. Symbiotic R&D: Insights gained from client projects are reinvested to bolster AI MQL's expertise, ensuring that clients’ core strategies remain protected while the broader knowledge base of the company is strengthened.
3. Market-Driven Agility: By systematically gathering customer feedback and market needs, AI MQL can rapidly design and validate new services aligned with its expert domains (MQL, AI/ML, SRE).

Balancing Innovation with Reliability

To realize this model effectively, AI MQL employs a dual-layered service approach characterized by "spear" (custom development plus independent QA) and "shield" (financially-focused SRE maintenance):

• - Spear:

- Custom AI Development: Designing cutting-edge AI/ML models robustly integrated within MT4/MT5 environments.
- Independent Quality Assurance: Rigorous testing performed by third parties to ensure algorithms are accurately implemented and risks are minimized.

• - Shield:

- Dedicated Financial SRE Maintenance: Optimizing servers and networks, alongside 24/7 monitoring and quick recovery from failures, aiming for 99.99% uptime.

Within this framework, an SRE maintenance contract is mandatory for operational systems, ensuring that any investment into the "spear" is secure.

Clear Intellectual Property Protection

Central to collaborative financial system development is the protection of intellectual property, a key competitive advantage. Following a transparent "symbiotic R&D" framework, AI MQL establishes clear rules on the ownership of intellectual property:

• - Background IP: Owners retain rights to pre-existing intellectual property, while usage rights are granted to AI MQL during project execution.
• - Foreseen Project IP: Any custom codes or trading logic developed during collaboration are entirely owned by the customer.
• - Derivative Knowledge: AI MQL retains the right to utilize anonymous, generalized architecture and optimization technologies.

This transparency allows customers to engage in strategic partnerships without concerns over information leaks or IP violations, thereby justifying premium pricing through a solid legal framework.

Target Segmentation and Challenges Addressed

Market analysis indicates that AI MQL's services are most beneficial to the following target demographics:

• - Prop Trading Firms: Facing challenges like strategy deterioration and infrastructure instability, AI MQL combats this with adaptive AI models.
• - Tech-Forward FX Brokers: Struggling with platform obsolescence and differentiation, AI MQL co-develops unique AI-integrated tools to enhance platform appeal.
• - Dedicated Fintech Firms: Seeking to commodify their investment ideas securely, AI MQL provides robust AI/ML capabilities ensuring compliance while focusing strategy execution.

AI MQL operates on a value-based estimation model rather than a time-based charge, determining costs based on project complexity, R&D level, and potential impact.

A Consultation-Based Sales Process

Recognizing the importance of trust over mere transactions, AI MQL employs a consultative sales strategy comprising:
1. Needs Assessment: Understanding client goals and challenges through consultations.
2. Customized Proposals: Developing comprehensive proposals based on defined scopes.
3. Execution and Delivery: Completing projects as per detailed statements of work (SOW).
4. Long-term Partnerships: Transitioning to ongoing SRE maintenance contracts for guaranteed support.

Message from the Founder

"In today's fintech landscape, not just advanced AI technology, but also the quality of developed systems (QA) and their reliability (SRE) are paramount for success. We are not merely a development firm; we aim to evolve into your specialized QA and SRE partner. Through symbiotic R&D, we aspire to lead market innovations collaboratively."

About AI MQL

AI MQL Co., Ltd. focuses on quality assurance and stability for AI and MQL systems in finance, providing tailored trading system development and specialized QA and SRE services for various clients, including EA developers and fintech firms. By leveraging its unique co-creation model and intellectual property framework, AI MQL leads the way in fintech innovation.