Industry Data Challenges
Inaccessibility, Underutilization, & Custom Internal Solutions.
Siloed Data
Data is siloed, with real-time process data inaccessible to data scientists.
Affordability
Existing custom internal solutions require unnecessary overhead to implement, maintain and support.
Scalability
Organizations face scalability, performance, and resource constraints.
Efficiency
Quickly consolidate all legacy data and eliminate silos - while aligning resources under one umbrella of operational truth.
Data Retrieval
Simplify data retrieval from historians.
Data Retrieval
Simplify data retrieval from historians.
Data Retrieval
Simplify data retrieval from historians.
1 Billion Data Points
Stream up to 1 billion data points per day to your data lakes.
2-Seconds
Latency
Empowers users to send process data from historians to the cloud with under two seconds of latency.
Lightweight & Scalable
Lightweight and scalable architecture.
Unlimited Output
Unlimited output streams (tags).​​
Control Data
Empowers users to control data interpolation and aggregation periods quickly, without historian expertise.​​
​Easy-to-use interface
Easy-to-use interface mirrors your data’s hierarchy.​​
Historical Data
On-demand retrieval of historical data to the cloud.​​
How Does Leafcutter Work?
Leafcutter extracts real-time and historical data from process historians and securely transmits it to a cloud-based message broker, or directly to real-time analytics engines.
