2
current products: FoodLink and CoachLink
IntelliFit · 智健启能
AI health execution system
IntelliFit works across food recognition, coaching delivery, and long-term health data. We use multimodal AI, exercise science, and real-world usage data to help people decide what to eat, how to train, and what to adjust next.
FoodLinkCoachLinkHealth Data
Company
An early health-tech team driven by AI and exercise science
Zhijian Qinen (Beijing) Technology Co., Ltd., branded internationally as IntelliFit, is building a product portfolio for real health behavior. We believe health products should not just show more data; they should create shorter, more trusted, more actionable feedback loops.
Food recognition becomes the entry point for nutrition data, health profiles, and continuous records.
Coaching delivery tools organize plans, execution, feedback, payments, and service accountability.
Long-term memory and multi-source data fusion point toward a health partner that adapts as users change.
AI + Health
long-term technical direction
CN / EN
bilingual and international-ready foundation
Product Matrix
From nutrition entry point to coaching delivery
IntelliFit is not a one-app landing page. Each product solves a real scenario while sharing data, models, and behavioral understanding. Paused explorations are not presented as current products.
Mini-program validation
AI nutrition recognition and feedback
FoodLink
A low-friction meal logging tool for everyday users. FoodLink recognizes meals from photos, estimates nutrition, and uses balanced or strict execution modes to turn calories, macros, micronutrients, and context into actionable feedback.
- Photo-based food recognition
- Balanced and strict execution modes
- Meal records, membership, and health profiles
Real food test sets, subscription flows, and early usage data are being accumulated.
MVP refinement
Coaching delivery and training accountability
CoachLink
An integrated training platform for independent coaches and students. Instead of starting as a heavy marketplace, CoachLink first builds reliable tools for plan generation, training execution, video feedback, payment splitting, and student management.
- Training plans and progress management
- Student-coach matching
- Trusted transactions and service delivery
Mini-program, web, payment flow, and coach collaboration scenarios have been explored.
Operating System
We care less about AI features and more about whether health behavior can be executed
IntelliFit’s product method comes from real users, coach collaboration, and internal iteration. Technology should serve the loop, not trap users in complex interfaces.
Low-friction capture
Photos, tags, voice, and local-first caching reduce manual input so data can be recorded continuously.
Structured understanding
Profiles, execution modes, training DSL, and coach preferences translate fuzzy needs into computable, adjustable structures.
Feedback loops
Each meal, workout, and subjective signal should improve the next suggestion and help the system understand real life.
Why IntelliFit
Health technology needs restraint and a deep understanding of execution
We put complex AI behind practical workflows and describe the company in a clear, trusted, and verifiable way.
Trustworthy language
No unsupported medical, funding, or customer claims. We show product direction and public-ready material.
Scenario first
FoodLink validates payment; CoachLink validates usability. Every feature serves a shorter user and business loop.
Portfolio-ready
The company brand supports FoodLink and CoachLink, with room for more health scenarios.
Product Evidence
Real products and real scenarios first
This first company site uses existing product assets and public-facing narratives distilled from local materials. We stay careful: no invented customers, funding, hospital endorsements, or user scale.
FoodLink mini-program
Records, membership, health profile, and nearby food entry points
Health analytics prototype
Turning meal records into explainable nutrition analysis
Training workflow
Training plans, execution records, and progress feedback
Founder And Team
A team shaped by AI research, training practice, and real user scenarios
IntelliFit does not begin as a model demo. It grows from the founder’s AI research background, training practice, content influence, and repeated collaboration with coaches, users, and engineering partners.
Validate real loops before expanding product forms.
Build tool value before claiming platform effects.
Make advice executable before making the system smarter.
Founder / AI & Product
Jianwen Ma
PhD student at Peking University’s Academy for Advanced Interdisciplinary Studies, with an automation background from Nanjing University of Aeronautics and Astronautics. He works across AI for Science, multimodal intelligence, fitness practice, content, and product building.
Coaches / Engineering / Operations
Collaboration network
Around CoachLink and FoodLink, the team works with coaches, developers, operators, and early users to turn real training and nutrition scenarios into product requirements.
Collaboration
Open for product, coach, and technical collaboration
If you are exploring AI health management, meal logging, fitness technology, independent coach tools, or campus innovation, we are open to real-scenario product validation and content collaboration.
Product collaboration
Nutrition recognition, training plans, health profiles, subscriptions, and growth experiments.
Coach collaboration
Online coaching, student management, plan delivery, feedback, and service accountability.
Technical exchange
Multimodal recognition, long-term memory, health data fusion, training DSL, and mini-program architecture.