ClerkTree: the world's industrial intelligence layer
ClerkTree is an industrial AI harness for machine operations. Agents connect machine signals, technical knowledge and workflows, helping teams understand issues and coordinate work.
What ClerkTree does
- Machine signals. Start with a reading, an alarm or an operator note. Bring the signals around each machine into context.
- Maintenance coordination. Connect the finding to the manual, the available parts and the people who can act. Keep the work and its context together.
- Asset intelligence. See how machines, components, past failures and service records relate, so a new issue does not have to be investigated from scratch.
- Production insight. Follow throughput, equipment load and queues together to see where pressure is building and what it may affect.
Hive
Hive connects every machine, part, document, work order and person on your shop floor, so every answer arrives with its full context and sources. More about Hive.
Frequently asked questions
How does ClerkTree integrate with our existing MES/SCADA systems?
ClerkTree connects directly to your existing historians, PLC controllers, and MES systems via industry standard protocols like OPC-UA, Modbus, and custom APIs, with zero rip-and-replace.
Can your AI models be deployed on the factory edge?
Yes. ClerkTree supports deployment of lightweight, high-frequency models directly on edge hardware next to your machines for ultra-low latency diagnostics and air-gapped security.
How is ClerkTree priced?
We offer flexible pricing based on your connected assets, data ingestion volume, and features. Contact our engineering team for a customized quote that fits your operations.
How long does implementation take?
A standard deployment takes 2 to 4 weeks depending on your data pipelines. We provide dedicated industrial engineering support to map your signals and validate the models.
Do you support physics-informed AI models?
We can combine data-driven models with knowledge of how mechanical assets behave. The right approach depends on the machine, the available data and the decision being supported.
Is our operational data kept private and secure?
We discuss data access, deployment and security requirements with your team as part of the design. The options depend on your environment and the systems involved.
From the journal