The Sun produces magnetic storms that can disrupt satellites, GPS, power grids and communications. SKEION uses solar physics to help exposed sectors — space, energy, defense — decide and act on that risk.
Generic alerts tell you that risk is rising. SKEION is being built to explain where the risk comes from, which magnetic structure carries it, and how it can be explored, documented and acted on.
Illustrative — not an operational signal
Space-weather stakeholders already have access to monitoring, bulletins, indices and alerts. The harder problem is deciding what those signals mean for a mission, a fleet, a research case or a resilience workflow.
Today, many workflows remain fragmented between:
The gap isn't accessing the data. It's interpreting it physically.
Navigation, power and telecoms can all be hit at once. SKEION works one step earlier — understanding the solar risk before it spreads.
SKEION sits between raw solar observations and the decisions that depend on them. It takes complex solar and magnetic data and turns it into results you can read, share and act on.
Magnetograms and solar observation data provide the physical input.
Advanced MHD modelling reconstructs and characterizes critical magnetic structures.
The system helps identify, compare and follow structures of interest.
aiXplore makes complex 3D MHD outputs accessible in the browser.
Reports, event briefs and future API integrations support scientific and operational workflows.
SKEION isn't here to replace existing space-weather centers. It adds a deeper level of understanding, earlier in the chain — to support research, institutional analysis and, in time, real operational decisions.
aiXplore helps scientists and institutions inspect complex MHD outputs directly in the browser, without heavy local installation — built for interactive exploration of magnetic structures, coronal topologies and evolving configurations.
Built around MeshMHD, this layer is designed to reconstruct, follow and interpret critical solar magnetic structures with AI-assisted analysis and physical context.
SKEION translates space-weather analysis into outputs teams can use: event replay, mission resilience briefs, anomaly attribution context, institutional reports and future integration-ready APIs.
aiXplore interface
aiXplore helps solar physics and heliophysics teams inspect 3D magnetic structures, compare configurations and share visual evidence without relying only on heavy general-purpose tools.
SKEION can support institutional teams with physically interpretable analysis of pre-eruptive structures, event replay, benchmark datasets and structured reporting.
For satellite and defense teams, the value isn't another alert. It's understanding whether a solar event may explain an anomaly on a spacecraft or a communications link, justify closer monitoring, or support a mission-readiness decision.
Satellite operators (under the EU Space Act) and critical-infrastructure operators such as power grids increasingly need to show that space-weather hazards are accounted for. SKEION turns that into automated, self-service evidence — event replay, risk reports and anomaly context.
Research published in Nature
At the core of SKEION is MeshMHD, a solar magnetohydrodynamics modelling framework developed at the CPHT through more than 30 years of research led by Tahar Amari, CNRS Director of Research.
This work has led to three publications in Nature, including two cover stories, and enables the reconstruction and characterization of three-dimensional coronal magnetic structures associated with eruptive solar regions. SKEION's role is to transform that scientific depth into usable software: exploration, interpretation, reporting and future operational integration.
The physics isn't the product. It's what makes the product something you can trust and explain.
Starts from solar MHD modelling and physical reconstruction, not only statistical correlation.
Focuses on identifiable magnetic structures, not only abstract scores.
Links risk signals to visual and physical evidence that can be inspected and discussed.
Designed to move from exploration to reporting, event replay and future integration.
SKEION is a French deep-tech project at the intersection of solar physics, software and space resilience.
CNRS Director of Research, creator of MeshMHD and author of three Nature publications in solar eruption research. A recognized expert in solar MHD and eruptive magnetic structures, he provides the scientific foundation and physical coherence of SKEION.
Sofiane leads the product, strategy and execution of SKEION. He develops aiXplore and brings together software thinking, product positioning and business execution to turn the scientific foundation into a usable platform.
SKEION is engaging with research labs, institutions, satellite stakeholders and strategic partners interested in physics-based space-weather intelligence.
Contact SKEION to request aiXplore access, discuss an institutional pilot, explore a satellite resilience use case or start a strategic conversation.
SKEION is currently engaging with selected research teams, institutions, satellite stakeholders and strategic partners.
