Reigntec, Fintech
Customer trading and operator records in one product
A customer trading experience connected to wallets, financial actions, referral flows, and administration.
Built for: Digital asset trading business
- completed trades
- 34
- completed trades
- linked bank accounts
- 6
- linked bank accounts
- customer inquiries
- 18
- customer inquiries
First build live within 30 days. A short call. Your first build, a fixed quote, and the timeline. No obligation.
Sound familiar?
- “Customers trade in one place while our team manages accounts somewhere else.”
- “Identity checks, banking, wallets, and payments are all separate providers.”
- “We cannot see an account's full history when a customer asks a question.”
How the system works.
- Step 1
Customer accounts, wallets, and trading
Customers manage accounts, linked banks, wallets, orders, and payments in one application.
- Step 2
Exchange integration
A VALR adapter layer covers accounts, wallets, markets, trades, payments, and banking operations.
- Step 3
Identity verification
Onfido and Sumsub adapters connect specialist identity checks to account onboarding.
- Step 4
An operator admin panel
The team handles inquiries, payments, referrals, support, and account management from dedicated views.
- Step 5
Full transaction history
The platform keeps its own customer, order, wallet, and payment records, updated through provider webhooks.
What changed.
- 34+ completed trades
- 6+ linked bank accounts
- 18+ customer inquiries tracked
- Customer activity and operator records connected in the same product
The full stack.
Frontend
- React
Backend
- Node.js
- Express
- JWT
- Passport
- Scheduled tasks
Data
- MongoDB
- Mongoose
Integrations
- VALR
- Onfido
- Sumsub
- Email services
Infrastructure
- AWS SDK
This fits you if...
- Your customers and your operations team work in different systems
- You connect several financial or identity providers and need one record
- Support questions take too long because account history is scattered
Start with a free Audit. First build live within 30 days
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Project overview
Customer trading workflows connected to financial operations
Services: AI Fintech ; AI ERP & CRM
Delivery: Customer application, public experience, financial integrations, and administration.
Project Snapshot
| Figure | What it represents |
|---|---|
| 34+ completed trades | Historical portfolio snapshot |
| 6+ linked accounts | Historical portfolio snapshot |
| 18+ inquiries | Historical portfolio snapshot |
These are recorded activity figures, not trading returns or financial performance.
The Problem
The customer-facing trade screen depends on several other workflows: identity checks, account access, banking, wallets, payments, and order history.
The operator needs a corresponding view of the customer and transaction records. Without that administrative side, the team cannot manage inquiries and account activity through the same product the customer uses.
What We Delivered
We built connected customer and admin surfaces for accounts, linked banks, wallets, orders, payments, referrals, inquiries, and support.
The backend includes a VALR adapter layer covering account, wallet, market, trade, payment, and banking operations. Onfido and Sumsub service adapters support identity-verification integration.
Customer, order, wallet, payment, referral, inquiry, and support models retain the platform's own records. Webhook routes handle updates from connected services.
Engineering Decisions
Keep provider integration separate from product records. The external exchange performs its financial role while the platform maintains the customer and operational history it needs.
Build the admin workflow alongside the customer flow. Inquiries, payments, and account-management work need dedicated views and authorization.
Use specialist identity services. The project integrates verification providers; it does not claim that AIOVIX trained an identity or fraud-detection model.
Retain transaction history. A balance or trade screen alone is insufficient for reviewing what happened to an account.
Results
The historical portfolio snapshot records 34+ completed trades, 6+ linked accounts, and 18+ inquiries.
The delivered system connects those customer activities to the operator's working records. Its relevance to AI Fintech is the financial-product infrastructure that an AI feature must sit within. No custom AI risk model or regulatory certification is asserted.
Technology stack
React-based frontend; Node.js, Express, MongoDB, Mongoose; VALR adapters; Onfido and Sumsub integration code; JWT, Passport, authorization middleware; AWS SDK, email services, scheduled tasks.
Want this for your team?
Book a short audit call and show us the workflow. You leave with the first build we would recommend, a fixed quote, and the timeline.