What is Helicon?
The platform for Data & ML Engineering on top of Stream processing
A workspace for all data teams
A single environment to manage data processing pipelines and trained ML models
Manage your ML models easily
Advanced monitoring tools to avoid ML model obsolescence
Processing & MLOps Scalability
Out-of-the-box scalability for an effortless ML operationalization
Easy UX/ UI
Codeless approach and visual interfaces
Automation via GUI
The workspace for all data teams
Let everyone in your team collaborate easily; should they be Data Scientists or Data Engineers.
Your team can work independently with native monitoring and log management.
Manage your models easily
Deploy and monitor your ML models effortlessly.
MLOps Processing & Scalability
Integrate AI within streaming pipelines & use your models effortlessly.
You'll get an out-of-the-box operationalization to ensure data collection consistency and interpretation.
Get working pipelines in hours without code!
In Helicon’s editor, no code is needed to build complex pipelines to get updated, high-quality and real-time data.
You can focus on correct data thanks to declarative pipeline development, testing and debugging in one single place.
Real-Time Data Exploration
Your data lifecycle is under control!
Monitor your activities status (via UI or API) and get an overview to improve your production processes.
Keep your models updated while keeping track of the metrics, generating alerts & triggering model retraining.