Quick Answer

Nocode (Wuma Technology) is a Medical Data Operating System designed to structure, verify, and serve medical information to AI agents, hospitals, and pharmaceutical giants. Founded in 2016 by Feng Dahui (Fenng), former CTO of DingXY and early technical expert at Alibaba, it uses a "Human-in-the-Loop" approach combining AI algorithms with crowdsourced clinical physicians and pharmacists. Key features include the Medical Data Engine (structured data for diseases, drugs, hospitals with three-level check system), "Ask a Doctor" medical search (semantic engine for patient intent), and Readhub (tech news aggregator demonstrating data aggregation power). Pricing operates on a B2B API model with custom-quoted pricing based on API call volume. Verdict: If you are building a digital health application in the Asian market, Nocode is likely the most robust data partner you can choose. Building your own medical knowledge graph from scratch is dangerous and expensive. Nocode lets you "rent" the expertise of Feng Dahui's team and their verified database, allowing you to focus on user experience rather than medical liability.

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Nocode Review: The "Medical Operating System" for the AI Era

The digital health market is exploding, projected to surpass $420 billion by 2025 (Precedence Research). Yet, for developers and healthcare providers, the biggest bottleneck isn't technology, it's trust.

How do you verify medical data? How do you ensure an AI "doctor" gives safe advice?

Enter Nocode (Wuma Technology), a platform that is misleadingly named but powerfully built. It isn't a website builder like Bubble or Webflow.

Instead, Nocode is a Medical Data Operating System designed to structure, verify, and serve medical information to AI agents, hospitals, and pharmaceutical giants.

In this review, we'll explore if Nocode is the missing infrastructure for your health-tech stack, and how to protect the revenue you generate from it.

What is Nocode (Wuma)?

Nocode (Wuma Technology) is an intelligent medical data engine. It acts as a middleware layer that connects raw medical resources (clinical guidelines, drug databases, hospital records) with user-facing applications (telehealth apps, search engines, chatbots).

Unlike a static database, Nocode uses a "Human-in-the-Loop" approach. It combines AI algorithms with a crowdsourced team of clinical physicians and pharmacists to clean, verify, and update data in real-time.

For developers, it offers a suite of APIs ("The Medical Data Open Platform") that allow you to plug accurate medical search, drug interaction checks, and doctor recommendations directly into your app.

The Founder: Feng Dahui

Nocode was founded in 2016 by Feng Dahui (Fenng), a legendary figure in China's tech scene.

Feng is the former CTO of DingXY (one of China's largest healthcare communities) and an early technical expert at Alibaba. He is also the voice behind "Small Road News" (Xiao Dao Xiao Xi), a highly influential tech blog.

His background is the ultimate seal of approval (EEAT) for this platform. Feng understands the intersection of high-traffic consumer tech and the rigorous safety standards required for healthcare.

He didn't just build a "wrapper"; he built Readhub (a tech news aggregator) and the Nocode Data Engine to solve the information asymmetry problem in China's internet ecosystem.

Key Features

1. The Medical Data Engine

This is the core product. It ingests tens of thousands of data points daily, processes them through an intelligent algorithm, and then passes them to a professional review team.

• Output: Structured data for diseases, drugs, and hospitals.
• Accuracy: Uses a "three-level check" system to ensure medical safety.

2. "Ask a Doctor" (Medical Search)

A ready-made module that developers can embed. It's not just a keyword search; it's a semantic engine that understands patient intent ("My head hurts on the left side") and matches it with accurate medical advice or local specialists.

3. Readhub

While not a medical tool, Readhub is Nocode's demonstration of their data aggregation power. It filters noise from tech news, providing a clean, 3-minute daily summary of the industry. It proves their algorithms can distinguish "signal" from "noise", a critical skill when handling medical info.

Pricing

Nocode operates on a B2B API model for its medical engine, meaning pricing is generally custom-quoted based on API call volume (similar to Algolia or OpenAI Enterprise).

However, they offer several free commercial products for end-users to demonstrate their capabilities:

• Readhub: Free for general users (with a "Pro" subscription option).
• Lottery Assistant: Free utility tool with over 200 million users.
• Ask a Doctor: Free-to-use mini-programs on WeChat.

Competitors & Alternatives

Feature	Nocode (Wuma)	Tencent Health	Ping An Good Doctor
Core Focus	Data Accuracy & APIs	Consumer Ecosystem	Telehealth Services
Developer Friendly?	Yes (Open Platform)	Limited (Walled Garden)	No (Closed App)
Data Verification	Crowdsourced Pros + AI	Internal AI	In-house Doctors
Best For	Health-tech Builders	WeChat Users	Patients needing insurance

The Verdict

If you are building a digital health application in the Asian market, Nocode is likely the most robust data partner you can choose. Building your own medical knowledge graph from scratch is dangerous and expensive.

Nocode lets you "rent" the expertise of Feng Dahui's team and their verified database, allowing you to focus on user experience rather than medical liability.

But... Is Your Platform Safe from Fraud?

Using Nocode ensures your medical data is accurate. But what about your payment data?

Digital health platforms are high-risk targets for financial fraud.

• Users are using stolen credit cards to pay for expensive tele-consultations.
• "Card testers" use your donation or payment pages to check if stolen numbers work.
• Patients disputing charges after receiving the advice (Friendly Fraud).

If you are using Stripe to process payments for your health app, you are vulnerable.

Protect Your Revenue with 1Capture

While Nocode filters out bad information, 1Capture filters out bad customers.

• Block Serial Disputers: We maintain a blacklist of users who habitually chargeback legitimate purchases. They are blocked instantly at checkout.
• Smart Charge Technology: 1Capture can place a temporary "hold" (pre-auth) on a card to verify funds and authenticity before capturing the payment. This prevents chargeback fees from ever hitting your account.
• 3.7x ROI: By recovering false declines and stopping fraud, platforms see an immediate lift in retained revenue.

Don't let fraudsters kill your digital health startup.

Check out the 1Capture Blog for more tips on preventing disputes, or visit our Pricing Page to secure your revenue today.