
Error-Proof Assemblies and Track Products
Provide detailed, media-rich work instructions that are IoT-connected and leverage computer vision. Populate BOMs and track jobs, work orders, and batches. Error-proof workflows, streamline data collection, and guide with pick-to-light systems.
Collect and Visualize Real-Time Production Data
Connect to devices, sensors, cameras and machines with hardware integrations throughout your operations. Further contextualize data with prompted human data.

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Plug & Play
Easily connect your devices to the apps you build.
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Flexible
A growing library of supported devices to choose from.
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Customizable
Configure on your own, through an intuitive interface.

Monitor Performance Metrics
Understand overall equipment effectiveness (OEE) with real-time visibility of machines, value streams, and production facilities. Identify, solve and prevent downtime by more accurately pinpointing failure and getting to the bottom of machine issues.
Hit the ground running with configurable manufacturing apps and solutions in the Tulip Library.
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Dynamic Work Instructions
Guide operators through complex workflows.
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Machine Shop App Suite
Build an end-to-end solution for your shop floor.
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Machine Monitoring Dashboard
Connect machines to Tulip and easily track OEE by setting the right configuration.
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Kanban System
Build a simple Kanban system for material replenishment.
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OnShape Connector
Update and pull assembly information and bill of materials from Onshape.
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Work Order Tracking
Track work orders across your facility.

Connect with CAD Software
Communicating with software such as Onshape, pull information from documents and Part Studio elements, as well as information from assemblies and bill of materials.

Case Study
Tulip enabled DMG MORI to digitize their spindle assembly line.
For each step in the assembly, DMG MORI embedded the schematics necessary for operators to correctly understand and execute their work.
Digitally transform your operations with Tulip
See how systems of apps enable agile and connected operations.
