Health AI Health Cloud Open Platform

What is the Health AI Health Cloud Open Platform?

Health AI is an enterprise-level open platform for health management, developed by Beijing Health Beneficial Technology Co., Ltd.

It integrates health assessment, intervention, and data capabilities into third-party services through APIs, SDKs, and industry-specific solutions.

Platform positioning

Health AI is primarily designed to serve businesses and developers; it is not an online diagnosis and treatment service intended for individuals as a replacement for doctors.

• Provides standard capability components for enterprise health management systems.
• Integrate health algorithms and content into smart hardware and applications.
• We provide customized solutions for industries such as healthcare, elderly care, and insurance.
• Build a Health Agent using a large health-related model.
• Data analysis is used to support population management and risk early warning.
• Provides H5, mobile, and server-side integration resources.

Core product capabilities

Health Agent health intelligent agent

Health Agent is an agent platform designed for health management scenarios, capable of combining specialized knowledge with tool capabilities.

• AI nutritionists can generate dietary suggestions and recommendations for food combinations.
• An AI fitness coach can create training plans and monitor progress.
• AI for psychological support offers listening, empathy, and skills for emotional guidance.
• Nutrition-related tools can recommend seasonal meal plans based on basic information.
• The ingredient list tool can analyze components, additives, and nutritional information.
• Health fact-checking tools are used to debunk common health myths.

The output from intelligent agents is supplementary information only; it cannot replace a doctor’s diagnosis, psychological treatment, nutritional advice, or emergency care.

Health risk assessment

The list of officially developed products covers assessments related to health, sub-health conditions, chronic diseases, mental health, lifestyle, as well as specific groups of people.

All risk outcomes should indicate the data source, algorithm version, target population, and professional review process.

Diet, exercise, and lifestyle plans

The platform can generate dietary, exercise, and lifestyle management plans based on an individual’s health status.

• Diet and exercise plan for healthy people.
• Advice on managing chronic conditions such as high blood pressure, diabetes, and obesity.
• Programs for pregnant and breastfeeding women sowie other special groups.
• Exercise records, diet records, and assessment of progress at various stages.
• Diet and exercise recommendations related to traditional Chinese medicine concepts of constitution.
• Scenarios such as posture correction and orthopedic rehabilitation.

In cases related to diseases, medication, pregnancy and childbirth, or rehabilitation training, it should be reviewed by qualified professionals.

Intelligent Q&A, consultation, and guidance

In case of emergencies such as chest pain, difficulty breathing, altered consciousness, or a risk of self-harm, it is necessary to contact emergency services or professional agencies immediately.

Image recognition and health data

The platform boasts image recognition and health data analysis capabilities, which can be utilized in reporting, device management, and health tools applications.

• Before connecting, verify the quality requirements for the input images and data.
• The acquisition equipment needs to undergo calibration, handling of abnormal values, and quality control.
• The algorithm’s output should include the version, timestamp, and the original source of the data.
• Conclusions related to medical imaging must be reviewed by qualified personnel.
• Personal health information should be collected to the minimum extent possible and subject to hierarchical protection.

SDK and integration methods

The versions and update times of different resources vary; it is necessary to verify the current recommended version and its maintenance status before integrating them.

Health AI Integration Tutorial

1. Clarify the health management scenarios, target users, and boundaries of business responsibilities.
2. Filter the desired evaluations, solutions, or tools in the documentation.
3. Contact the platform to confirm product permissions, prices, SLAs, and delivery methods.
4. Complete the corporate certification, contracts, and data processing agreements.
5. Choose API, H5, Android, iOS, or Java SDK.
6. Apply for a testing environment, credentials, and the scope of data access allowed.
7. Complete signing, requests, and error handling in accordance with the documentation.
8. Use masked or simulated data to carry out integration and stress testing.
9. Reviewed and finalized by medical, nutritional, psychological, and compliance specialists.
10. Set up high-risk alert systems, manual referral processes, and emergency response procedures.
11. After going live, monitor calls, model versions, exceptions, and user feedback.
12. Regularly conduct permission audits, data deletion, and security assessments.

Price and procurement methods

As of August 30, 2026, the official website does not disclose information regarding standard packages, the price per interface, or a fixed free usage quota.

The “free value-added” label does not indicate that the interface is free; the budget should be based on official quotes, contracts, and settlement terms.

Costs that need to be confirmed before making a purchase

• Costs for initial access, implementation, and custom development.
• API call volume, concurrency, and overage rate.
• SDK licensing, version upgrades, and technical support.
• Costs associated with data storage, transmission, backup, and compliance.
• The servers and operational costs required for a privatized deployment.
• SLA, fault response, and dedicated support fees.
• Ongoing maintenance costs for updating the model or knowledge base.

Service support

The official website states that it offers 24/7 service, an availability SLA of no less than 99.9%, as well as one-on-one customer support.

The calculation of actual availability, exclusions, compensation, and response times must be in accordance with the service agreement signed by both parties.

Data security and compliance

• Health information is considered sensitive personal data, and separate consent must be obtained.
• Only the data necessary to implement the current functionality is collected.
• Separate testing, production, and analysis environments and implement access control.
• Transmission and storage are encrypted, with keys managed separately.
• Log data access, model calls, and manual review activities.
• Define the data retention period, deletion mechanisms, and cross-border arrangements.
• Explain to users the purpose of the algorithm, its limitations, and the channels available for manual appeals.
• Conduct assessments for personal information protection and security impacts prior to going live.

Boundaries for medical use

Health AI is used for health management and to assist in decision-making; it cannot be considered as a medical diagnosis or treatment recommendation.

• A positive risk assessment does not mean that one has the corresponding disease.
• A negative risk assessment does not rule out the presence of an actual disease.
• The use of medications, their discontinuation, and dose adjustments must be determined by a doctor.
• Nutrition and exercise plans must take into account contraindications and individual conditions.
• Psychological support cannot handle crisis intervention or the risk of self-harm.
• In case of an emergency, it is necessary to contact emergency services and legitimate medical institutions directly.
• Companies must not use this to engage in unfair employment discrimination.

GitHub and open source

The Health Beneficial official GitHub organization has made available the Java SDK as well as examples of certain H5 functionalities.

No standard open-source license was detected in the relevant repositories; therefore, the fact that the code is publicly available does not equate to having an authorization to use it under an open-source license.

Neither the platform, nor the health-related models, nor the algorithms, nor the complete services can be classified as open source on this basis.

Which institutions are suitable?

• Corporate clients: Establishing employee health management and welfare services.
• Insurance agencies: Support for health services and risk management processes.
• Senior care facilities: integrate management of chronic diseases, nutrition, and exercise.
• Smart hardware manufacturers: integrate data on body fat, blood pressure, and wearable devices.
• Healthcare institutions: Develop tools for auxiliary management and education.
• Research team: Conducts research on health data in compliance with relevant regulations.
• Developers: Build health applications using APIs and SDKs.

Usage restrictions

• The public page does not provide a unified price or a free usage quota.
• Some SDK versions are older, and it is necessary to check their maintenance status before integrating them.
• The output of the model is influenced by the quality of the input, the target audience, and data biases.
• Health advice may overlook contraindications or individual differences.
• Skills related to traditional Chinese medicine fall under a specific health management system.
• Deploying in medical scenarios may require additional qualifications and verification.
• Any high-risk result requires manual, professional review.

Frequently Asked Questions

Is Health AI primarily aimed at individuals or businesses?

It is primarily aimed at businesses and developers, enabling them to integrate third-party health services through APIs, SDKs, and customized solutions.

What health-related capabilities does the platform offer?

It covers risk assessment, chronic disease management, diet and exercise plans, Q&A, guidance services, traditional Chinese medicine, and health AI agents.

Can Health AI diagnose diseases directly?

No, risk assessment and intelligent consultation can only serve as aids for health management; they cannot replace a doctor’s diagnosis.

How is Health AI priced?

The official website does not specify a uniform price; a commercial quote is required based on capabilities, usage volume, and requirements regarding deployment and services.

What SDKs are available?

The official resources include H5, Android, iOS, and Java SDKs; the specific versions need to be confirmed before integration.

Does Health AI provide APIs?

The documentation provides information on various health-related functions; before using them, it is necessary to register, sign a contract, and request the appropriate permissions.

Is Health AI an open-source platform?

No, although the developers have made some SDKs and examples available publicly, no standard license was found; neither the platform nor the models are open source.