OpSee
opsee.io
What it is
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.
Spec sheet
- What it does
- OpSee is an open, modular manufacturing execution and industrial data platform covering MES, OEE, historian, analytics and AI.Read 15 Oct 2026 · opsee.io
- Product
- OpSee describes itself as an open, modular manufacturing execution and industrial data platform for MES, OEE, historian, analytics, and AI for factories.Read 3 Oct 2026 · opsee.io
- Intended users
- The product is designed for operators and plant managers as well as IT teams.Read 3 Oct 2026 · opsee.io
- Integrations
- OpSee names MQTT brokers, OPC-UA endpoints, and industrial protocols as ways to connect machine data.Read 3 Oct 2026 · opsee.io
- Support
- Starter includes email support, Pro includes priority support, and Enterprise includes dedicated onboarding and rollout support.Read 3 Oct 2026 · opsee.io
- A6K acceleration
- A LinkedIn post says OpSee entered the A6K accelerator to structure its commercial and financial development in Belgium and beyond.Read 15 Oct 2026 · linkedin.com
- 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.Read 15 Oct 2026 · be.linkedin.com
- AI
- AI features include anomaly detection, predictive insights, AI-assisted root-cause analysis and natural-language questions over historical data.Read 15 Oct 2026 · opsee.io
- AI workshop
- A LinkedIn event post says a workshop demonstrated AI production-data analysis, live MES configuration documentation and natural-language configuration and exploration.Read 15 Oct 2026 · linkedin.com
- Analytics
- Analytics provides trend charts, Pareto analysis, custom KPIs, interpolation, annotations and multi-axis views.Read 15 Oct 2026 · opsee.io
- API documentation
- The opened official page describes protocol connectivity but does not provide a public REST API, SDK or developer-documentation link.Read 15 Oct 2026 · opsee.io
- Cloud hosting
- The hosted option is offered on AWS, Azure or GCP with managed updates, backups and Kubernetes scaling.Read 15 Oct 2026 · opsee.io
- Company profile
- LinkedIn describes OpSee as a privately held information-services company with 11–50 employees and a 2025 founding year.Read 15 Oct 2026 · linkedin.com
- Data control
- The maker says on-premises deployment keeps data inside the network and gives customers control over data, backups, and security policies.Read 3 Oct 2026 · opsee.io
- Data logging
- The data-logging module captures machine signals and connects to MQTT brokers, OPC-UA endpoints and other industrial protocols.Read 15 Oct 2026 · opsee.io
- Deployment model
- OpSee is container-based and described as Docker and Kubernetes ready.Read 15 Oct 2026 · opsee.io
- Deployment requirements
- The edge deployment supports Docker Compose and lists a requirement of less than 8 GB RAM.Read 3 Oct 2026 · opsee.io
- 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.Read 15 Oct 2026 · opsee.io
- Edge hosting
- Edge deployment supports industrial PCs, NUCs and x86 devices, offline operation and Docker Compose with less than 8 GB RAM.Read 15 Oct 2026 · opsee.io
- 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.Read 15 Oct 2026 · belgium.pl
- 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.Read 15 Oct 2026 · mindandmarket.com
- Free entry
- Data logging is advertised as free forever, with paid modules added as needed.Read 15 Oct 2026 · opsee.io
- Historian
- The historian stores time-series process data for long-term retrieval and querying of tags and values.Read 15 Oct 2026 · opsee.io
- 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.Read 3 Oct 2026 · opsee.io
- Integration claim
- OpSee states that its modules integrate with one another and that the unlimited plan includes all integrations.Read 15 Oct 2026 · opsee.io
- Licence
- OpSee describes itself as open source and built on an open-source stack, but the opened pages do not name a specific software licence.Read 15 Oct 2026 · opsee.io
- Limit: maturity
- The Mind & Market listing classified OpSee as being at the idea stage when created in March 2025.Read 15 Oct 2026 · mindandmarket.com
- Maker founding
- CompanyWeb lists AgiNtech as established on 30 June 2021.Read 15 Oct 2026 · companyweb.be
- Maker legal entity
- AgiNtech is registered as an SRL with Belgian enterprise number BE0770.511.481 and an address in Jemeppe-sur-Sambre.Read 15 Oct 2026 · companyweb.be
- Maker staffing
- CompanyWeb reports 29.5 full-time-equivalent employees for AgiNtech in its latest figures.Read 15 Oct 2026 · companyweb.be
- MES
- The MES layer includes production orders, operator screens, quality checks, traceability and material tracking.Read 15 Oct 2026 · opsee.io
- OEE
- The OEE module offers real-time availability, performance and quality gauges, production trends, downtime categorisation and loss analysis.Read 15 Oct 2026 · opsee.io
- On-premises hosting
- On-premises deployment runs on VMs or bare-metal Windows or Linux servers using Docker Compose or Kubernetes.Read 15 Oct 2026 · opsee.io
- Praise: openness
- Independent project material repeatedly presents the open-source approach as a way to avoid expensive, inflexible, one-size-fits-all MES licensing.Read 15 Oct 2026 · mindandmarket.com
- Product scope on LinkedIn
- LinkedIn describes OpSee as an open-source MES for industrial SMEs covering real-time monitoring, traceability, quality, KPIs/OEE, ERP/IoT interoperability and AI.Read 15 Oct 2026 · linkedin.com
- Protocols
- The product page specifically names MQTT and OPC-UA connectivity and says other industrial protocols can be connected.Read 15 Oct 2026 · opsee.io
- Rating on G2
- No OpSee rating or review count was available on the opened G2 page; the page was for the different company Opensee and showed 0 reviews.Read 15 Oct 2026 · g2.com
- Rating on Google Play
- No OpSee manufacturing app rating was available; the opened Google Play result was an unrelated vehicle-document app named Opsee.Read 15 Oct 2026 · play.google.com
- Security positioning
- The site says customers can keep data inside their network and retain control of backups and security policies.Read 15 Oct 2026 · opsee.io
Plans and prices
Strong points and limits
Strong points
- Data logging connects to MQTT and OPC-UA.
- OEE includes downtime categorisation and loss analysis.
- MES covers traceability and material tracking.
- On-premises deployment keeps data inside the network.
Limits
- Edge deployment lists a requirement below 8 GB RAM.
- Starter covers one feature module.
- Enterprise is designed for 30+ equipment.
- Site Unlimited costs €8,333 a month.
Who it suits
OpSee is designed for factory operators, plant managers and IT teams needing industrial data logging or manufacturing execution tools. Its deployment options include edge, on-premises and cloud hosting.
Verdict
OpSee combines machine data collection with modular factory operations and analysis tools. Compare the per-equipment plans and deployment requirements with the modules and hosting approach you need.
Where Specifiction places it
- Manufacturing Analytics Software#2 of 298.3