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Product Overview

Platform Overview​

The mlangles mlops platform is an AI-driven machine learning operations solution that enables organizations to streamline the development, deployment, and governance of machine learning models at scale. Built for enterprise-grade use cases, the platform offers a unified interface for managing the entire ML lifecycle—from data ingestion and model training to deployment and monitoring.

Designed with flexibility and compliance in mind, mlangles supports integration with modern data ecosystems and provides tools for automating repetitive tasks, enforcing best practices, and ensuring traceability across experiments and deployments.

Key Features and Benefits​

1. Visual Pipeline Builder​

  • Allows users to define and orchestrate complex machine learning pipeline workflows for data transformation for machine learning training consumption
  • Supports data preprocessing, feature engineering ,data visualisation etc.

2. Experiment Tracking and Model Training​

  • Enables training and tracking of machine learning experiments, hyperparameters, metrics, and outputs for reproducibility.
  • Supports leading ML frameworks

3. Centralized Model Registry (ModelHub)​

  • Provides version control of models
  • Ensures that only approved models are deployed in production.

4. Deployment Options​

  • Supports both Online Serving (real-time inference) and Batch Serving (scheduled or bulk predictions).

5. Model Monitoring and Drift Detection​

  • Offers real-time monitoring of infrastructure, model performance, including accuracy, latency, and data drift.

6. Access Control and Governance​

  • Fine-grained access management for users, projects, and roles.