Manufacture high-quality industrial products with full production visibility
Guide complex builds, trace every serial number, and keep lines running smoothly.
Demand swings, product mix keeps widening, and experienced operators are hard to replace. Keeping quality and delivery consistent takes a production system your engineers can change as fast as the work does.
Tulip is a composable frontline operations platform used to implement a composable MES. It connects to the ERP, PLM and machines you already run, so teams can guide assembly, build traceability into each step, and scale what works to the next site.
Step-by-step guidance for complex, high-mix builds puts the current revision in front of every operator, so new hires and veterans build to the same standard. Supervisors are alerted when someone needs help.
Inspections and nonconformances are handled inside the workflow, so defects surface at the station while the unit is still in front of the operator. Less rework and fewer escapes tend to keep orders moving.
Prevent serial mix-ups and crossed orders with genealogy captured as the work happens, by barcode scan, vision or RFID. When a warranty claim lands, trace any serial or lot forward or backward to find and contain affected units.
Workflows branch by configuration and revision, so every customized order is built to its own spec. Engineering changes reach the floor once they're approved, and operators see only the steps that apply to their order.
See work orders moving through production, spot bottlenecks as they form, and send alerts to the right person. Leaders get a consistent view across lines and sites without waiting for end-of-shift reports.
Capture data from machines and devices, then guide maintenance steps and tool calibration, with each step recorded. Alerts on machine events help prevent and shorten downtime.
Why leading industrial equipment manufacturers choose Tulip's composable platform over a rigid MES, a stack of point tools, or another year of paper.
Your engineers author and update workflows themselves, and AI turns existing SOPs into a first working version in minutes. Every change goes through your approvals before it reaches the floor, so there's no vendor ticket and no re-implementation when a process changes.
Guidance, tracking, quality and traceability share one data model, so each new use case starts ahead of the last. Tulip connects to your ERP, PLM and 700+ supported devices and works alongside them, and operators can ask questions of your own documentation and get answers with sources cited.
Start with one use case in weeks, then expand line by line. Permissions, version control and an audit trail come with every solution, including AI-assisted ones, so a standard set centrally can replicate to the next site while each site adapts to its local equipment and language.
DMG MORI, a global machine tool builder, digitized its operations and connected data across 17 sites, using Microsoft Azure for AI-assisted quality inspections.
“With Tulip and Azure, we’re able to connect operations across 17 global sites, standardize workflows, and lay the groundwork for AI-enabled manufacturing.”
Stanley Black & Decker standardized how its manufacturing network runs, with global standards and room for each site to adapt.
“You don't have to go to like six different vendors to get the solutions, you can do it all within Tulip.”
TICO Tractors, a farm equipment maker, replaced paper and guesswork with real-time tracking of inspections, defects and rework.
“Without Tulip, doubling production would have been nearly impossible.”
Industrial equipment manufacturers generally need software that keeps up with frequent product and configuration changes, captures serial-level traceability, and connects to the ERP, PLM and machines they already run. Tulip is a composable frontline operations platform that serves as that execution layer, and some manufacturers use it to implement a composable MES, starting with one use case on one line.
Look for support for configuration-driven work, serial-level genealogy, connections to ERP, PLM and machines, governed change control across sites, and the option to start with one use case and expand. Tulip covers each of these on one data model, so every new use case builds on the data from the last.
Many of these errors trace back to operators working from outdated paper travelers or PDFs, or from what an experienced colleague remembers. Step-by-step work instructions that show the current revision, with inspections built into each step, tend to catch errors at the station. In Tulip, workflows branch by configuration or revision, and supervisors are alerted when an operator needs help.
Built-to-order production runs more smoothly when instructions, inspections and records follow each order's own configuration and revision. Tulip workflows branch by configuration or revision, and updates can be deployed quickly with governance, without re-implementing a monolithic MES, so engineering changes stay aligned with what operators see on the floor.
Fast warranty response depends on complete genealogy: knowing which components, tools, operators and inspections went into each serial number. Tulip captures that genealogy at every step through barcode scanning, vision or RFID, so a team can trace forward or backward, for example everything that happened to serial X, or every unit built from lot Y.
Downtime tends to shrink when maintenance steps are guided and recorded, tool calibration is tracked, and machine alerts reach the right person quickly. Tulip captures data from machines and devices, with 700+ supported devices, sends alerts when critical events occur, and guides maintenance and calibration steps on the floor.
Digital work instructions shorten ramp-up by putting expert knowledge at the station, so new hires rely less on shadowing veterans. With Tulip, AI Composer turns existing SOPs and PDFs into interactive, step-by-step instructions, which go through approvals before they reach the floor. In a Forrester Total Economic Impact study commissioned by Tulip, a composite Machine Manufacturer saw a "6-month reduction in training time on an assembly line."
Yes. A composable approach replaces a legacy MES one use case and one line at a time, so production keeps running and there's no all-or-nothing risk. With Tulip, a first use case typically goes live in weeks, goes through your approvals before it reaches the floor, and expands line by line. Formlabs, for example, adopted Tulip as its MES to scale 3D printer manufacturing.
Tulip lets a central team set a standard and deploy it across plants, while each site adapts it to local equipment and language. Role-based access, version control and approval workflows are managed at the platform level, with central visibility across every line and location, so teams author once and deploy across sites.
Tulip connects through standard interfaces, including REST APIs, database connectors, and OPC UA, MQTT and Modbus for machines, plus a connector library that includes SAP S/4HANA, NetSuite, PTC Arena and Aras. Your ERP and PLM stay the systems of record while Tulip surfaces the right data to operators in real time.
AI tends to be most useful on the floor when it works from a manufacturer's own operational data and documentation. In Tulip, AI Composer turns existing SOPs into a first working version of an app, AI Chat lets operators ask questions of your own documentation with sources cited, and AI Insights lets engineers ask questions of production data in plain language. Operational data isn't retained by LLM providers or used to train their models.
See how industrial equipment manufacturers hit delivery dates with guided assembly, serial-level traceability, and fewer unplanned stops.