The OpSee homepage
Score6.5
Rank#7 of 27
From€59/mo
Free planNo
Runs onLinux, Self-hosted, Web, Windows

Summary

OpSee is a modular manufacturing execution and industrial data platform for factory MES, OEE, historian, analytics, and AI work. 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 tools include trend charts, Pareto analysis, custom KPIs, interpolation, annotations, and multi-axis support; OEE features include live gauges, production trends, downtime categorization, and loss analysis. MES functions cover production orders, operator screens, quality checks, traceability, and material tracking. AI features include anomaly detection, predictive insights, root-cause assistance, and plain-language queries about historical data. OpSee can run at the edge, on premises, or in managed cloud hosting on AWS, Azure, or GCP. Edge deployment supports Docker Compose and lists a requirement of less than 8 GB RAM. Starter is 59.00 EUR per month per equipment; Pro is 95.00 EUR per month per equipment.

Who it is for

OpSee is aimed at operators, plant managers, and IT teams working with manufacturing data and production workflows. Its deployment options suit organizations considering edge, on-premises, or cloud hosting.

What is good

  • Connects to MQTT brokers and OPC-UA endpoints
  • Includes time-series storage and retrieval
  • MES covers orders, quality checks, and traceability
  • Runs at the edge, on premises, or in the cloud

What to know first

  • Edge deployment requires less than 8 GB RAM
  • Starter includes one feature module
  • Starter and Pro are billed per equipment

Everything Xiaomi review

OpSee: the full review

OpSee brings production execution, equipment data, analytics, and AI features into a modular platform. Compare the modules and per-equipment plan terms with the factory’s needs.

Overview

OpSee is a modular manufacturing platform for bringing machine data, production execution, and performance analysis together. It is best suited to factories that want to combine shop-floor data with MES or OEE workflows while choosing their own deployment model. Its broad module set and self-hosting options are compelling, but per-equipment pricing and the sharp jump to enterprise tiers call for careful scoping.

For a wider category comparison, see Manufacturing Analytics Software.

Key features

Machine data and history

The always-free data logging module connects to MQTT brokers, OPC-UA endpoints, and industrial protocols. It gives factories a way to collect machine data without first buying a broader module. The historian adds long-term storage and retrieval of time-series process data, useful when teams need historical context rather than only live readings.

Production analysis and execution

Analytics combines trend charts, Pareto analysis, custom KPIs, interpolation, annotations, and multi-axis support. That breadth suits teams investigating production patterns from several angles, though the value depends on having relevant data to analyze. OEE adds real-time gauges, production trends, downtime categorisation, and loss analysis; MES covers production orders, operator screens, quality checks, traceability, and material tracking. Together they span monitoring and shop-floor execution rather than focusing on analytics alone.

AI and deployment

AI features include anomaly detection, predictive insights, assisted root-cause analysis, and plain-language questions about historical data. These capabilities broaden the platform’s analysis options, while plants should assess whether they need them before paying for an all-module tier. OpSee can run at the edge, on premises, or in the cloud; managed cloud hosting names AWS, Azure, and GCP. Edge deployment supports Docker Compose and requires less than 8 GB RAM. On-premises operation keeps data inside the network and lets customers control data, backups, and security policies, making it a meaningful option for factories with local data-control requirements.

Pricing

OpSee has a free plan and paid plans priced per equipment except where a tier sets a broader threshold. The always-free data logging module is a useful starting point, but paid modules and support determine how far a plant can take the platform.

PlanPrice and termsBest fit
Starter59.00 EUR per month, billed per equipment. One feature module, data logging and trending included, email support.A plant needing one paid module and basic support. The single-module limit means it is not the choice for a team seeking the full suite.
Pro95.00 EUR per month, billed per equipment. All modules, data logging and trending included, priority support.Teams that need MES, OEE, analytics, or AI together and value faster support. Its per-equipment basis can make costs scale with the installed footprint.
Enterprise595.00 EUR per month starting from 30 equipments, plus Starter or Pro discounted cost; Starter at €39/month and Pro at €59/month included. Dedicated onboarding and rollout support.30+ equipment operations and multi-site rollouts that need implementation support. The starting threshold and added discounted plan cost make it a poor fit for smaller deployments.
Site Unlimited8333.00 EUR per month. Full access to all modules, features, and integrations; no equipment, site, or usage caps; white-glove support and strategic guidance.Large operations that need uncapped scope and high-touch guidance. The substantial monthly price is difficult to justify for a limited deployment.

Platforms

OpSee supports Linux, Windows, web, and self-hosted use. Hybrid deployment gives factories a choice of edge, on-premises, and cloud operation rather than forcing every workload into one environment.

Who it's for

Operators and plant managers can use its production, downtime, quality, and execution modules, while IT teams can evaluate connectors, hosting, and data control. It is strongest for factories that want several of these functions in one modular system. A team seeking only a narrow analytics tool may find the per-equipment structure and broad suite unnecessary.

Pros and cons

  • Pros: The free logging module connects to common industrial data sources, allowing machine data collection without a paid module.
  • Pros: MES, OEE, historian, analytics, and AI can be combined, covering both shop-floor workflows and performance analysis.
  • Pros: Edge, on-premises, and cloud deployment accommodate different infrastructure and data-control priorities.
  • Cons: Starter includes only one feature module, so access to the full suite requires Pro or a higher tier.
  • Cons: Starter and Pro are billed per equipment, so totals rise with deployment scale.
  • Cons: Enterprise begins at 30 equipments and adds discounted Starter or Pro cost; Site Unlimited is 8333.00 EUR per month, placing uncapped use in a high-cost tier.

Alternatives

Choose L2L Manufacturing Intelligence if you want a paid option with Android, iOS, macOS, web, and Windows support.

Zoho Analytics may suit teams seeking a general analytics alternative with a free plan for 2 users, 10,000 rows, and 5 workspaces, plus a free trial.

Consider Sight Machine for a paid platform scoped by custom enterprise agreement to a specified number of manufacturing lines or plants.

Tulip is an alternative for teams seeking production visibility and quality features through a paid Essentials plan, with a 10-interface minimum and up to 50 interfaces.

GE Vernova Proficy Plant Applications is another paid option for process, discrete, and mixed manufacturing, with hosted or on-premises deployment mix.

LineView Navigator is another paid alternative.

For energy monitoring and power-quality analysis, ABB Nsight offers a paid real-time plan with unlimited users and integrations including DER, BMS, SCADA, and AMI.

QualityLine is another paid alternative.

Verdict

OpSee is a strong fit for factories that want machine-data collection, production execution, OEE, and analytics under one modular platform, especially when edge or on-premises control matters. Its main reason to choose is that breadth paired with deployment flexibility; its main reason to look elsewhere is the per-equipment cost and steep enterprise pricing when a plant needs only a narrow set of functions.

OpSee plans and pricing

All plans
Starter €59/mo Per equipment 1 feature module · Data logging & trending included · Email support opsee.io · 3 Oct 2026
Pro €95/mo Per equipment All modules · Data logging & trending included · Priority support opsee.io · 3 Oct 2026
Enterprise €595/mo Starting from 30 equipments; plus Starter or Pro discounted cost Starter at €39/month and Pro at €59/month included · Designed for 30+ equipments and multi-site rollouts · Dedicated onboarding and rollout support opsee.io · 3 Oct 2026
Site Unlimited €8,333/mo Full access to all modules, features and integrations · No equipment, site or usage caps · White-glove support and strategic guidance opsee.io · 3 Oct 2026

Compared on manufacturing analytics software

Free plan
Yesopsee.io
OEE tracking
Yesopsee.io
Production analytics
Yesopsee.io
Quality analytics
Yesopsee.io
Deployment
hybridopsee.io
Shop-floor connectors
Yesopsee.io

Facts

Product
OpSee describes itself as an open, modular manufacturing execution and industrial data platform for MES, OEE, historian, analytics, and AI for factories.opsee.io · 3 Oct 2026
Data logging
Its data logging module connects to MQTT brokers, OPC-UA endpoints, and industrial protocols, and is described as always free.opsee.io · 3 Oct 2026
Historian
The historian provides long-term storage and retrieval of time-series process data.opsee.io · 3 Oct 2026
Analytics
Data analytics includes trend charts, Pareto analysis, custom KPIs, interpolation, annotations, and multi-axis support.opsee.io · 3 Oct 2026
OEE
The OEE module includes real-time gauges, production trend charts, downtime categorisation, and loss analysis.opsee.io · 3 Oct 2026
MES
The MES module covers production orders, operator screens, quality checks, traceability, and material tracking.opsee.io · 3 Oct 2026
AI
AI features include anomaly detection, predictive insights, AI-assisted root cause analysis, and plain-language questions about historical data.opsee.io · 3 Oct 2026
Integrations
OpSee names MQTT brokers, OPC-UA endpoints, and industrial protocols as ways to connect machine data.opsee.io · 3 Oct 2026
Hosting
OpSee can run at the edge, on premises, or in the cloud, and its hosting page names AWS, Azure, and GCP for managed cloud hosting.opsee.io · 3 Oct 2026
Deployment requirements
The edge deployment supports Docker Compose and lists a requirement of less than 8 GB RAM.opsee.io · 3 Oct 2026
Data control
The maker says on-premises deployment keeps data inside the network and gives customers control over data, backups, and security policies.opsee.io · 3 Oct 2026
Support
Starter includes email support, Pro includes priority support, and Enterprise includes dedicated onboarding and rollout support.opsee.io · 3 Oct 2026
Intended users
The product is designed for operators and plant managers as well as IT teams.opsee.io · 3 Oct 2026

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