Enterprise · Financial AI ecosystem
NoahAI Labs operates a user-centric AI financial decision platform.
Judgment, explanation, risk, and logging are handled on the NoahAI platform;execution and product provision are handled by external financial institutions (banks, brokers, exchanges) as API execution partners.
Users receive the AI's judgment, explanation, and risk guidance on the NoahAI platform and choose and execute financial services connected to the platform.
The personal financial AI service and the technology structure we operate are designed not as a simple personal tool but as shared decision infrastructure that can connect with the full financial industry—exchanges, banks, brokers, asset managers.
This page summarizes how NoahAI Labs's AI financial decision structure, built for individual users, extends to industry, institutions, and platforms and how it connects to the real financial ecosystem.
Operable
Real-world stack
Safety
Guardrails, halt conditions, conservative decisions
Logging / replay
Full logs, reports, reproducibility
Verification
Multi-model comparison, replay, evaluation
Feedback
Anonymized pattern learning, risk signals
Multi-asset
Securities, real estate, and more
Why NoahAI is an R&D and investment target
We are not a single product but an AI decision pipeline. The same structure can be extended beyond finance to other industries.
Core technology: We operate an AI decision engine where record standardization, feedback, and verification are connected, based on a decision record and feedback structure that applies the AI Digital Care Log concept to the financial judgment domain.
NoahAI Labs's industry connection is not a separate system from the autonomous financial assistant for individual users. The judgment·record·compare·alert structure validated in the personal service is extended to industry and institutions with the same engine and operating standards; Enterprise connection is the step of connecting this shared infrastructure at the API, platform, and policy level.
1. Separated AI decision structure
Judgment, execution, record, verification, and learning are independently separated so each stage can be improved and extended on its own.
- • Judgment: AI model swappable
- • Execution: only exchange/broker API is swapped
- • Record: asset-agnostic log structure
- • Verification: multi-model comparison
- • Learning: anonymized pattern learning
2. Explainability and accountability
Every AI decision is logged, explainable via XAI, and auditable after the fact.
- • Full-process log (CareLog-like schema)
- • XAI: AI reasoning explained
- • Replay: past decisions reproduced
- • Multi-model comparison: validated against other AIs
3. Extensible beyond finance
Asset-agnostic architecture allows extension to other decision domains outside finance.
- • Healthcare: decisions from health data
- • Manufacturing: production optimization
- • Logistics: route optimization
- • Energy: usage optimization
4. Proven operation
In production since November 2024, with real experience in external API changes and error handling.
- • Six exchanges operated in parallel
- • Tens of thousands of real decisions
- • Immediate response to external API policy changes
- • Real service, not PoC
NoahAI is not a financial AI company but an 'AI decision infrastructure' company.
The goal is to extend the structure validated in finance to other industries and become a general-purpose AI decision ecosystem.
Investor value proposition
From an investor perspective (e.g. TIPS), we present NoahAI Labs's investment value.
Proven in production
- • In production since November 2024 (validated)
- • Six exchanges operated in parallel (stability validated)
- • Tens of thousands of real decision-support cases
- • Immediate response to external changes (e.g. Binance API policy)
Extensible ecosystem
- • Connectable to exchanges, banks, brokers, real estate, and more
- • Stepwise: fit check → API connection → in-platform service expansion
- • Structure suitable for government R&D programs
- • Asset-agnostic expansion for a larger ecosystem
Social value
- • Better financial access for digitally excluded users
- • Inclusive finance in practice
- • Transparent, verifiable AI decision structure
- • Alignment with government policy (e.g. 2026 Vertical AI initiatives)
Technical differentiation
- • XAI (explainable AI) policy fully implemented
- • Multi-exchange / multi-asset unified structure
- • Operational stability validated in production
- • Modular, extensible architecture
Industry connection
Exchanges, securities/asset management, banks, real estate, and others can connect via API.
Blockchain / crypto exchanges
AI decision and report features that consider both risk control and retention can be connected to the NoahAI platform.
Connection:
- • Client risk management automation via platform
- • Transparent decision logs on the platform
- • Experience with six exchange APIs
Brokers
AI judgment infrastructure for ETF/equity portfolio design, risk management, and client report automation.
Connection:
- • Portfolio design automation via platform
- • Auditable decision logs on the platform
- • ETF/equity service UI (2026-01-18)
Banks
With internal control, audit logs, and customer protection in place, voice/text-based financial guidance and advisory automation for digitally excluded users can be connected.
Connection:
- • Inclusive finance via platform connection
- • Cost reduction through in-platform advisory automation
- • Full audit logs on the platform
Real estate
AI judgment infrastructure for market analysis, investment support, and portfolio optimization.
Connection:
- • Market analysis automation via platform
- • Region-level portfolio optimization on the platform
- • R&D expansion plan (2026 Q2–Q4)
Asset management / research
Connection structure to strengthen model verification, research automation, and operational reporting (explanation/audit)
Connection:
- • Multi-model comparison and verification on the platform
- • Reproducible research structure on the platform
- • Full audit trail on the platform
Fintech / platform
Connection structure to attach AI judgment, risk, and report as modules to existing financial services for fast productization.
Connection:
- • Fast connection as platform module/API
- • White-label UI on the platform
- • Easy API-based platform integration
Platform-centric industry connection
NoahAI Labs does not deliver technology to financial institutions or embed systems directly. We aim for a structure where users gather on the NoahAI platform and external financial services connect via API.
Below are examples of industry connection structures assuming platform operation.
1) Platform connection fit verification — 4–8 weeks
A phase to verify that the NoahAI platform and external financial services (API) can be safely integrated from technical, operational, and regulatory perspectives.
The purpose is not a tech demo but to secure operational grounds for platform connection.
2) API-based service connection — execution partner structure
External financial institutions act as execution partners of the NoahAI platform and are responsible for execution of trades and products via their APIs.
NoahAI handles judgment, explanation, risk management, and logging; responsibility for execution of actual financial transactions and product provision remains with each institution.
- • API-based account/trade/product execution integration
- • Judgment, recommendation, and explanation provided by NoahAI platform
- • Responsibility and role split clarified by contract
3) Service expansion within NoahAI platform
Users receive financial judgment centered on the NoahAI platform and choose from various financial services connected to the platform.
Financial institutions gain new user inflow and trust-based touchpoints through the NoahAI platform.
- • NoahAI-centric user experience (UX)
- • External financial services as optional execution options
- • Platform expansion through recommendation and connection structure
NoahAI Labs is not a seller or executor of financial products. All responsibility for execution of financial transactions and product provision lies with each financial institution and service provider. NoahAI Labs is responsible for decision support (judgment, explanation, risk management, logging) and improving accessibility on the platform. NoahAI Labs is a platform operator, not a technology delivery/embedding company; external financial institutions connect to the platform as API execution partners.
Operational financial AI stack components
Operational module ① AI decision & report engine
Generates signals, risk summary, and explanation reports on the NoahAI platform and connects to partner services via API.
- Asset/market status summary + rationale (explainable)
- Action suggestions (optional): position, rebalancing, alerts
- Output schema (JSON) customization per institution policy
Technical details
- • analyzer.py: RSI, MACD, Bollinger Bands, etc.
- • ai_manager.py: pattern similarity verification, market analysis, daily report
- • Real-time signal generation and confidence (0.0–1.0)
Operational module ② Risk guardrail & audit log system
For control, reproducibility, and audit required by institutions, decision process and results are recorded as auditable logs with guardrails for halt conditions, limits, and policy.
- Policy-based limits (limits, risk, prohibited rules)
- Decision/input data/output JSON traceability
- Automatic report generation (operations, audit, risk)
Technical details
- • XAI policy: full transparency and logging of all decisions
- • Log categories: [analysis], [trade], [order], [monitor], [exit]
- • Local storage: all data in externally verifiable form
Operational module ③ Model verification & operational evaluation
Provides evaluation, leaderboard, replay for comparing models/strategies under the same conditions on the NoahAI platform.
- Multi-model comparison with same prompt/data
- Operational metrics including guardrails (stability, consistency, resilience)
- Replay/reproducible test scenarios
Technical details
- • Alpha Arena mode: DeepSeek 3.1, Qwen 3 Max engines
- • Benchmark: nof1.ai Alpha Arena algorithm
- • Version tracking: per-model performance and rollback
Operational module ④ White-label operations & report UI
Dashboard/report UI can be connected to match partner services. Customer-facing (explanation/report) and operator-facing (monitoring/audit) can be designed separately.
- Account status, risk, decision report screens
- RBAC-based operations console
- Partner BI/data warehouse integration (by agreement)
Technical details
- • Next.js modern UI (responsive)
- • Real-time data updates (WebSocket/API)
- • Voice interface support (STT/TTS, extensible)
Process
Step 1
Requirements
Policy/guardrail/output schema alignment
Step 2
Data connection
Test scenario design
Step 3
Evaluation report
Performance/stability/risk/reproducibility verification
Step 4
Platform connection
API connection and in-platform service expansion
R&D plan and expansion
2026–2027 R&D goals
Multi-asset decision support infrastructure
Building on the proven financial AI engine validated in crypto operations, we extend to real estate, ETF, equities, and global futures to evolve into asset-neutral financial AI decision support infrastructure.
- Phase 0: ETF/index fund portfolio design and management (Jan 2026 — in progress)
- Phase 1: Global equities and futures (in testing)
- Phase 2: Real estate market analysis and investment support (planned)
Open-source LLM–based financial infrastructure
Advancing operable, verifiable, explainable infrastructure to safely apply LLMs with GPT-4–level or better performance to financial decision-making (2026 Q2–Q4).
Security / compliance options
- Platform RBAC (role-based access control) and SSO integration
- Trade and system audit logs on the platform
- VPC and on-prem deployment options (subject to agreement)
- Platform SLA scope determined by agreement
Logging, reproducibility, and audit structure can be extended to meet public/research institution collaboration and government R&D requirements. The technical structure is already designed with 2026 Vertical AI government programs in mind.
FAQ
Actual trading and management of recommended ETF and securities products are under the responsibility of regulated managers and institutions in each jurisdiction; NoahAI Labs provides judgment, risk, and verification infrastructure on the platform.
Ecosystem expansion
NoahAI operates AI asset decision infrastructure. After reviewing our technology and services, please contact us if you are interested in investment, partnership, or government programs.
Technology in production
- • In production since November 2024
- • Stability verified across 6 exchanges simultaneously
- • Tens of thousands of real decision-support cases
- • Verified ability to respond to external API policy changes
- • Operating as a live service, not PoC
Extensible structure
- • Asset-neutral architecture for easy extension
- • Crypto → ETF/equities → real estate → global equities/futures
- • Modular structure for adding new assets
- • Same judgment, logging, verification structure reused
Government R&D alignment
- • 2026 Vertical AI government program alignment
- • Financial vertical AI proof-based R&D project preparation
- • Preparing for tech-special listing
- • Structure designed for public/institutional use
2026: Financial AI is about trust
What matters when reviewing technology and services is not a list of features but safety, transparency, and operational readiness.
NoahAI Labs extends financial AI with a structure built for real-world operation, aligned with 2026 Vertical AI government policy and preparing for tech-special listing.
Investment and industry inquiry
Investors (TIPS, etc.)
Contact us if you want to join programs like TIPS (Tech Incubator Program for Startup) or need an investment proposal.
- • Investment value proposition
- • Technical demo and verification materials
- • Business model details
- • Government R&D project alignment
Industry partners
Contact us if you want to explore connection possibilities with exchanges, banks, brokers, real estate firms, and other industries.
- • Industry-specific connection review
- • Connection fit verification (PoC) proposal
- • Technical verification and demo
- • Connection structure and collaboration
Next steps
We design connection fit verification and API-based platform connection together with your regulatory, data, and operational requirements.