In a world reshaped by accelerating technology and shifting industries, a career is no longer a single choice but a lifelong act of becoming.
Guided by science-based insight and empirical analysis, our mission is to maximise human potential in the age of technology —helping people see themselves clearly (their strengths, interests, and values) and navigate the pathways through learning and work that shape a fulfilling life.
Because careers shape not only income but identity, confidence, community, and the ability to contribute, everyone deserves guidance that is trustworthy, current, and empowering. Grounded in evidence and informed by real-world data, we turn complexity into clear direction — so each person can set meaningful goals, adapt with confidence as the future unfolds, and build a life that feels purposeful, resilient, and truly their own.
About WX Labs
RandomLife is developed by WX Labs, an education technology company dedicated to turning educational science into real-world tools. Founded in 2014, WX Labs combines rigorous research with practical innovation, with a long-term focus on student well-being and sustainable career development.
The team behind WX Labs brings together experts from around the world and conducts interdisciplinary research across educational science, psychology, and data science.
Guided by foresight, scientific rigor, and real-world applicability, WX Labs focuses on questions such as:
What future-ready competencies look like, and how to cultivate them
How people develop across a lifetime
How to translate educational science into scalable, impactful practice
R&D Strengths
Interdisciplinary research team (global + local)
AI and intelligent assessment technologies
Large-scale data modelling and analytics
Mixed-method research (quantitative + qualitative)
Application of leading international theories and evidence
Localised adaptation for real classroom and community contexts
The Science Behind the Product
The GPS Career Foundation Model
A professional model focused on students’ career planning and career development guidance, developed from:
Using a neural-network-based self-attention architecture, it builds a deep representation space. Through knowledge distillation, multi-modal data fusion, and parameter-efficient fine-tuning (PEFT), it is trained on high-precision career path data and multi-dimensional student profile data, providing personalized, high-precision, data-driven career navigation for students and parents.
Built upon authoritative data and real-world application:
Connected to 12+ international authoritative databases covering career trends, competency models, and employment forecasts
Combined with millions of real student profiles and development trajectories
The outcomes have a global perspective while being deeply adapted to China’s education and employment context.
Professional Data Support
A multi-dimensional algorithm engine integrates ability, traits, interests, and academic data to generate a panoramic individual profile
Intelligent path simulation connects the full “major → career” chain, presenting clear and diversified pathway solutions
Core Technical Capabilities
Applied and iterated over the long term in millions of real student scenarios, covering:
Academic progression planning Major selection Career development
