OpSee
What it is
OpSee is a modular manufacturing execution and industrial data platform for factories, combining tools for MES, OEE, historical data, 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 offers trend charts, Pareto analysis, custom KPIs, interpolation, annotations, and multi-axis views. OEE tools cover real-time gauges, production trends, downtime categorization, and loss analysis; MES features include production orders, operator screens, quality checks, traceability, and material tracking. AI capabilities 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 the cloud, with managed hosting options on AWS, Azure, and GCP. Edge deployment supports Docker Compose and lists a requirement of less than 8 GB RAM. Plans start at €59 a month per equipment for Starter; Pro costs €95 a month per equipment and includes all modules. Enterprise is designed for 30 or more equipments and multi-site rollouts.
For and against
For
- Connects to MQTT brokers, OPC-UA, and industrial protocols
- Includes historian storage and retrieval for process data
- Offers MES, OEE, analytics, and AI modules
- Can run at the edge, on premises, or in cloud
- On-premises deployment keeps data inside the network
Against
- Starter includes only one feature module
- Starter and Pro are billed per equipment
- Edge deployment lists a requirement of less than 8 GB RAM
The verdict
OpSee brings factory data logging, production workflows, OEE, analytics, and AI into one modular platform. Plan costs and included modules vary, so the choice depends on the equipment count and features needed.
Who it suits
OpSee is designed for operators, plant managers, and IT teams looking to connect factory data with production, analytics, or AI tools. Its edge, on-premises, and cloud deployment options suit teams with different hosting needs.
Plans and prices
Starter
1 feature module · data logging and trending included · email support
Read 15 Oct 2026 · opsee.io
Pro
all modules · data logging and trending included · priority support
Read 15 Oct 2026 · opsee.io
Enterprise
30+ equipments · multi-site rollouts · dedicated onboarding and rollout support
Read 15 Oct 2026 · opsee.io
Site Unlimited
all modules, features and integrations · no equipment, site or usage caps · white-glove support
Read 15 Oct 2026 · opsee.io
On the record
- A6K acceleration
- A LinkedIn post says OpSee entered the A6K accelerator to structure its commercial and financial development in Belgium and beyond.linkedin.com · read 15 Oct 2026
- AgiNtech relationship
- AgiNtech’s LinkedIn page identifies the company as an industrial automation, robotics and industrial-IT integrator that developed OpSee after its earlier work.be.linkedin.com · read 15 Oct 2026
- AI
- AI features include anomaly detection, predictive insights, AI-assisted root-cause analysis and natural-language questions over historical data.opsee.io · read 15 Oct 2026
- AI workshop
- A LinkedIn event post says a workshop demonstrated AI production-data analysis, live MES configuration documentation and natural-language configuration and exploration.linkedin.com · read 15 Oct 2026
- Analytics
- Analytics provides trend charts, Pareto analysis, custom KPIs, interpolation, annotations and multi-axis views.opsee.io · read 15 Oct 2026
- API documentation
- The opened official page describes protocol connectivity but does not provide a public REST API, SDK or developer-documentation link.opsee.io · read 15 Oct 2026
- Cloud hosting
- The hosted option is offered on AWS, Azure or GCP with managed updates, backups and Kubernetes scaling.opsee.io · read 15 Oct 2026
- Company profile
- LinkedIn describes OpSee as a privately held information-services company with 11–50 employees and a 2025 founding year.linkedin.com · read 15 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 · read 3 Oct 2026
- Data logging
- The data-logging module captures machine signals and connects to MQTT brokers, OPC-UA endpoints and other industrial protocols.opsee.io · read 15 Oct 2026
- Deployment model
- OpSee is container-based and described as Docker and Kubernetes ready.opsee.io · read 15 Oct 2026
- Deployment requirements
- The edge deployment supports Docker Compose and lists a requirement of less than 8 GB RAM.opsee.io · read 3 Oct 2026
- Documentation/support limit
- The opened official site offers email, priority, dedicated or white-glove support by plan but exposes no public documentation or help-centre content.opsee.io · read 15 Oct 2026
- Edge hosting
- Edge deployment supports industrial PCs, NUCs and x86 devices, offline operation and Docker Compose with less than 8 GB RAM.opsee.io · read 15 Oct 2026
- External business description
- A 2025 Wallonia trade-mission profile describes OpSee as AgiNtech’s MES platform based on an open-source development stack and positioned for lower total cost of ownership.belgium.pl · read 15 Oct 2026
- External project record
- Mind & Market lists OpSee as a Belgium-based MES project created on 11 March 2025, originating as a student project supported by INEO.mindandmarket.com · read 15 Oct 2026
- Free entry
- Data logging is advertised as free forever, with paid modules added as needed.opsee.io · read 15 Oct 2026
- Historian
- The historian stores time-series process data for long-term retrieval and querying of tags and values.opsee.io · read 15 Oct 2026
