Stop flying blind and see exactly what's happening on the floor
Connect machines, enterprise systems, and operator workflows into a single view. Spot bottlenecks as they form, track work in progress in real time, and make decisions based on what is actually happening right now.
When production data lives on paper, whiteboards, or in spreadsheets, bottleneck identification is reactive. Finding out a machine went down or a line fell behind hours after it happened means the shift is already lost and the delay is compounding.
Your MES has the schedule, your CMMS has machine health, and operators track actual output manually. When data doesn't flow between systems, operations leaders spend hours manually extracting and reconciling numbers instead of fixing the root cause.
Without real-time visibility into in-process quality checks, deviations aren't caught until the end of the line. Rework and scrap pile up silently, eroding yield and driving up the cost of poor quality before anyone realizes there's a problem.
Tulip connects directly to your machines, devices, and enterprise systems to surface real-time production data on intuitive dashboards. By capturing data at the source teams get a complete, accurate picture of performance without the lag of manual reporting.
Self-Service Dashboard Editing
When the line changes or leadership asks for a new view, whoever owns the process edits the dashboard directly, the same way the rest of a Tulip solution gets authored. There's no ticket to IT and no wait for the next release cycle.
Real-Time System Connectivity
Operator entries, machine signals, and enterprise systems all write into the same composable data model, so a dashboard reflects what's happening now instead of what a nightly import captured last. ERP and PLM systems connect through Tulip's library of pre-built connectors, with no batch import schedule for someone to manage.
Automated Metrics & Control Charts
Availability, performance, and quality calculate automatically from the same machine and operator data already flowing through your apps, so nobody's building an OEE spreadsheet by hand. Control charts and native alerting flag an outlier or a shift in the data as it happens.
Andon Alerts & Escalation
An andon-style alert can notify the person who can actually fix a problem the moment a station flags it, instead of surfacing at the next shift meeting. A stoppage, a quality miss, or an out-of-range sensor reading can all trigger the same kind of automated response.
Traceable Data Model
A common data model gives every app, dashboard, and automation the same source of truth, so a KPI tile isn't a dead end. Click through from a tile to the specific work order, machine, or operator behind it, using the same historized data that produced the number in the first place.
Customer stories
See how companies use Tulip to connect their operations and turn data into action.
Stanley Black & Decker standardized their digital enablement across their machine base, improving visibility, planning, and execution. Having reliable, real-time data let them flag and correct delays or shortages before they impacted fulfillment, driving OTIF from 28% to 93% in 18 months.
DMG MORI uses Tulip along their entire value chain, from logistics and goods receipt to production, assembly, and service. By replacing complex workflows and gaining real-time data visibility, they rapidly stabilized their production processes.
"After four weeks, we gained insight into how we could significantly reduce errors and stabilize production."
Agility EMS moved away from rigid legacy systems and a lack of real-time data visibility by integrating with Tulip. They started capturing data that previously went uncaptured, giving their entire team access to critical operational knowledge.
"You can integrate with Tulip and you can start capturing all of that data that previously may have gone uncaptured... and with that data comes knowledge, and as we move into the new AI age, having access to that data is going to enable the team to move faster than competitors."
Manufacturing dashboards are visual interfaces that display key production metrics, machine statuses, and operational data in real time. They replace end-of-shift reports, whiteboards, and fragmented spreadsheets by aggregating data directly from machines, enterprise systems, and operator inputs. By surfacing information immediately, they allow operations leaders to identify bottlenecks, track work in progress, and resolve issues before they compound.
Tulip connects to the tools and machines on your floor through Edge Devices and native drivers. We support standard OT protocols like OPC UA and MQTT natively. The data from these machines flows directly into Tulip's common data model, where it can be visualized in real-time dashboards alongside human-entered data and information from your enterprise systems.
Tulip connects to your existing enterprise systems via our open, API-first architecture. This allows you to pull work orders, inventory levels, and quality specifications into your dashboards, and push production results back to your systems of record, keeping everything synchronized without manual data entry.
Dashboards and analytics are built in Tulip by the process engineers and operations leaders who understand the work. Our Analytics builder allows you to compose real-time charts and metrics from your operational data without writing code. You can embed these analytics directly into the apps operators use, or create standalone management dashboards for supervisors and executives.
Data in Tulip is captured at the point of work—whether from an operator completing a step in an app, a connected tool taking a measurement, or a machine sending a status update. Dashboards and analytics update instantly as this data is generated. Every metric traces back to the operational events that produced it, ensuring you are making decisions based on what is actually happening on the floor right now.
Tulip's governance is inherited by design. Access to apps, data tables, and analytics is managed through Custom User Roles and workspace permissions, which integrate with your Identity Provider via SSO. This ensures that operators, supervisors, and plant managers only see the information relevant to their roles, and only authorized users can build or modify dashboards.
Tulip is not intended to replace your enterprise Business Intelligence (BI) tools. Instead, Tulip provides the real-time, operational data layer that feeds them. While Tulip offers native analytics for immediate shop-floor visibility and action, you can export your structured execution data from Tulip to your existing data lake or BI platform for long-term trending and enterprise-wide reporting.
Tulip AI surfaces trends, translates information, and generates analytics on demand. You can use AI agents to reason over your operational data model, spotting anomalies or downtime patterns before they become critical issues. The platform is LLM-agnostic, and every AI action is grounded in your real operational data and governed by the same permissions and audit trails as human actions.
See how manufacturers connect their machines, systems, and operators to gain real-time visibility and drive continuous improvement.