Count What
Matters!
HearIMLab listens to the voice of data.
We discover core values within complex manufacturing process data,
and predict the future of your business.
Why HearIMLab?
We go beyond simple data analysis to understand the context of the industrial site.
Deep Focus
We do not sway over superficial numerical changes. We dig into the root causes considering the physical/chemical mechanisms of the process.
Clear Insight
We make complex Black-box models Explainable. We provide clear insights that field engineers can understand and trust.
Optimal Control
We break through the limits of process efficiency through data-driven mathematical optimization algorithms, not trial & error.
Business Impact
Interactive Solutions
Simulate the core analysis solutions provided by HearIMLab.
HearIM-Impute
κ²°μΈ‘ λ°μ΄ν°μ μλ³Έ λΆν¬μ 보μ ν λΆν¬λ₯Ό μ€μκ° μμ° ννλ‘ μ¬μν©λλ€.
Core Technology
From strategic approach to implementation technology stack, we introduce HearIMLab's integrated solution capabilities.
Advanced Algorithms
Applying latest deep learning (Transformer, Autoencoder) and mathematical optimization algorithms.
Domain Expertise
Interpreting physical meaning of data and selecting optimal methodology based on rich manufacturing field experience.
Sustainable Lifecycle
Data pipeline and lifecycle management for continuous value creation of models.
Python & AI Stack
Structured/Unstructured AI modeling utilizing PyTorch, TensorFlow.
R & Statistics
Rigorous statistical hypothesis testing, DOE, SPC execution.
MLOps & Serving
Monitoring and retraining pipeline construction for stable deployment and continuous utilization.
Key Project Experience
We have successfully performed projects in various industrial fields over the past 10 years.
Smart Factory (ERP, MES) Implementation
(μ£Ό)νΌν°μ¨
Missing Value Imputation & Quality Prediction
(μ£Ό)μ¨μμ€μ
Factory Layout Optimization Design
(μ£Ό)νΌν°μ¨
Gas Supply Anomaly Detection
(μ£Ό)μ§μ루μ
Start Your Journey
Leave your name, company name, contact information, etc. for faster consultation.