엔프로토콜

Data, MLOps & AI Platform

DATA & AI OPS

Seamlessly managing the entire AI lifecycle—from data collection to model deployment.

An enterprise platform that automates and manages the entire AI lifecycle—from collecting and labeling raw data through model training and tuning, real-time deployment, and monitoring.

Key Capabilities

End-to-End Data Pipeline

Streamline data collection, preprocessing, labeling, and versioning through an integrated data pipeline.

Automated Learning and Hyperparameter Tuning (AutoML)

Automatically explore optimal model architectures and hyperparameters using NAS/HPO.

Continuous Integration and Continuous Monitoring (CI/CD & Model Monitoring)

It supports one-click model deployment while triggering an automated re-training process in real time to detect and mitigate production environment performance degradation (Data/Model Drift).

Tech Keywords

#MLOps
#DataPipeline
#AutoML
#ModelRegistry
#CI/CD4AI
#DriftDetection

Target Domains

Enterprise

Smart Factory

Data Center