Data Intelligence at Scale
Stream Data, Drive Decisions, Lead the Future​
Industry Data Challenges
Inaccessibility, Underutilization, & Custom Internal Solutions.
Siloed Data
Data is siloed, with real-time process data inaccessible to data scientists.
Scalability
Organizations face scalability, performance, and resource constraints.
Affordability
Existing custom internal solutions require uneccessary overhead to implement, maintain and support.
Why Leafcutter?
Simple, Powerful, Scalable,
Affordable
Simplifies data retrieval from historians.
Streams up to 70 million data points per day to your data lakes.​​
On-demand retrieval of historical data to the cloud.​​
Easy-to-use interface mirrors your data’s hierarchy.​​
Empowers users to send process data from historians to the cloud with under two seconds of latency.
Unlimited output streams (tags).​​
Lightweight and scalable architecture.
Empowers users to control data interpolation and aggregation periods quickly, without historian expertise.​​
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.
Success Story:
