Skip to content
SPECIFICTION
Get listed

OpSee vs Tulip

OpSee

opsee.io

Tulip

tulip.co

Side by side

FigureOpSeeTulip
Price from€59/mo$100/mo
Free plan——
Free trial——
Open sourceYes—
WebYesYes
WindowsYesYes
macOS—Yes
LinuxYesYes
iOS—Yes
Android—Yes
API—Yes
Self-hostedYes—
Plans published44
Spec score · Manufacturing Analytics Software8.4 (#2)7.6 (#12)
AIAI features include anomaly detection, predictive insights, AI-assisted root-cause analysis and natural-language questions over historical data.The platform includes AI agents that reason over operational data to surface issues, draft changes, and take actions within team-defined guardrails.
IntegrationsOpSee names MQTT brokers, OPC-UA endpoints, and industrial protocols as ways to connect machine data.Tulip connects with ERP, PLM, and other business systems and offers HTTP and SQL connectors, an API, and an on-premise Connector Host.
SupportStarter includes email support, Pro includes priority support, and Enterprise includes dedicated onboarding and rollout support.The pricing page lists email support with a response within a maximum of 24 hours and offers a premium support plan with dedicated 24/7 support for critical issues.

Plans

OpSee

  • Starter€59 a month
  • Pro€95 a month
  • Enterprise€595 a month
  • Site Unlimited€8,333 a month

OpSee pricing →

Tulip

  • Essentials$100 a month
  • Professional$250 a month
  • EnterprisePriced on request
  • Regulated IndustriesPriced on request

Tulip pricing →

In their own words

OpSee

OpSee is an open, modular manufacturing execution and industrial data platform for factories, covering MES, OEE, historian, analytics and AI. Its data logging module connects to MQTT brokers, OPC-UA endpoints and industrial protocols, and is described as always free. The historian stores and retrieves time-series process data. Analytics includes trend charts, Pareto analysis, custom KPIs, interpolation, annotations and multi-axis support; OEE tools provide real-time gauges, production trends, downtime categories and loss analysis. MES covers production orders, operator screens, quality checks, traceability and material tracking. AI features include anomaly detection, predictive insights, root-cause assistance and plain-language questions about historical data. OpSee can run at the edge, on premises or in the cloud, with managed hosting options named for AWS, Azure and GCP. Edge deployment supports Docker Compose and lists a requirement of less than 8 GB RAM. Starter costs €59 a month per equipment and Pro costs €95 a month per equipment.

Visit opsee.io

Tulip

Tulip is a composable frontline operations platform for production workflows, visibility, and operational improvement. Its no-code tools let teams build guided workflows, management terminals, and dashboards using a common data model. Real-time analytics and automations connect actions across machines, apps, and enterprise systems. AI agents can use operational data to surface issues, draft changes, and act within team-defined guardrails. Manufacturing use cases include digital work instructions, production tracking, OEE dashboards, quality inspection, traceability, and electronic batch records. Tulip connects with ERP, PLM, and other business systems through HTTP and SQL connectors, an API, and an on-premise Connector Host; machine connections use Node-RED, MQTT, and OPC UA. It supports more than 700 devices. The SaaS product has no free plan or perpetual license. Essentials costs $100 a month, billed annually per interface, with a 10-interface minimum; Professional costs $250 a month on the same basis and minimum.

Visit tulip.co