ML-powered environmental consulting and water industry analysis platform
E20 operates a research-heavy consulting business in China's environmental sector, with a machine-learning stack (scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch) paired to Java backend services (Spring Boot, Spring Cloud) and MySQL/Oracle databases. The 13-person team skews heavily toward research (19 roles) over engineering (10), suggesting a consulting-first model where ML augments advisory work rather than powering a standalone product. Current focus on water-industry policy research, supply-chain optimization, and fault-diagnosis algorithms indicates a pivot toward analytics-driven services.
E20 provides environmental market research, policy analysis, and strategic consulting for water utilities and industrial clients in China. The company combines traditional consulting (strategy work, stakeholder engagement, compliance advisory) with applied machine learning—using computer-vision, classification, and anomaly-detection models to improve water-supply operations and reduce implementation risk. The tech stack spans data science (Python ML libraries), backend services (Java/Spring, Oracle, Redis caching), and frontend interfaces (Vue, React, Angular). The organization operates from Beijing with minimal recent hiring activity, suggesting a stable, mature client base.
scikit-learn, XGBoost, LightGBM, TensorFlow, and PyTorch. Also uses OpenCV and Pillow for computer-vision tasks in environmental monitoring and diagnostics.
Backend: Java with Spring Boot and Spring Cloud, MyBatis ORM. Databases: MySQL and Oracle. Caching: Redis. Frontend: Vue, React, Angular. DevOps: Docker, Kubernetes. Build tools: webpack, gulp, Grunt.
Water-industry policy research, supply-chain alliance optimization, enterprise strategy consulting, environmental standardization research, fault-diagnosis algorithms for water utilities, and corporate strategy consulting for environmental clients.
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