Mining generates data from every direction: environmental sensors, geotechnical monitoring points, production lines, energy meters, market feeds. Collecting that data is the easy part. The harder challenge is getting the right information in front of the right person, in a form they can act on.
Libra AI Technologies leads METAMINE, the business intelligence and digital twin component of MASTERMINE, a Horizon Europe project building the green and digital European mine of the future across five demonstration mines, with a further replication site in South Africa. Within METAMINE, Libra AI Technologies has built a Business Intelligence System: a live, online platform where different users log in through a dedicated interface and access dashboards and decision-support information according to their role and responsibilities. Real users at five of MASTERMINE's demonstration mines are already logged in every day, working with their own accounts, permissions, and site data.
Signing in to a role
Access starts with a login, and what a user sees next depends entirely on their role within the organisation. Administrators land in a management environment where they configure users, teams, and access. Everyone else lands directly in a personalised view of the platform's dashboards and alerts. The platform is built around a simple reality: a mine is made up of different teams doing different jobs, and each of them needs its own lens on the same operation.
Organising decision support around roles
Administrators create users, group them into teams, and assign each team to the domains relevant to its work. An environmental team is connected to Environmental Monitoring dashboards, a geology or geotechnical team to Geotechnical dashboards, and mine managers to Production and Productivity views. Access is deliberate: by default, a new user has no access to anything until an administrator assigns it, and permissions can be adjusted at any time as roles or responsibilities change.
This is what separates the DSS from a simple dashboard collection. Dashboards are organised into domains that mirror how mining teams actually work, and access to each domain is an administered decision rather than a default.
Dashboards built for daily use
Inside their assigned domains, users work with interactive dashboards that combine live sensor data, historical trends, and model outputs, covering areas such as air quality and weather conditions, ground displacement and hydrology, or throughput and equipment performance. Administrators can shape how this information is presented, editing dashboard titles and descriptive text so each view is labelled in terms that make sense to the team using it.
Alerts follow the same logic. Conditions are configured per site and per domain, with clear thresholds for when a value counts as a concern and who is notified when it does. Users manage their own notification preferences, unsubscribing from alerts that aren't relevant to them, which keeps the platform useful rather than noisy.
Beyond viewing, the platform supports the everyday mechanics of using data at work: exporting a dashboard, sharing a view with a colleague, or drilling into a specific reading. It fits into how mining teams already collaborate, rather than adding a separate system to work around.
Rolling out across five mines
This is a working platform, not a proof of concept awaiting validation. Access is being extended in stages as more sites and data streams come online, building toward a genuinely multi-user, role-driven decision support environment across the whole of MASTERMINE. It reflects the idea behind the way Libra AI Technologies builds decision support systems more broadly: intelligence to shape decisions, not a bigger pile of charts, but a structured environment where the right people get the right information exactly where they need it.
Beyond the mining sector
Although designed for mining, this architecture isn't limited to it. Role-based access, thematic dashboard domains, and configurable alerts apply equally to any industry that needs to turn distributed operational data into structured, role-appropriate decisions, from manufacturing and energy to logistics and utilities.
See it in action
Watch a short demo video below, presenting how an administrator sets up a team and assigns it to a domain, and how that translates into the dashboards and alerts a user sees after logging in.