We turn your existing consumption data into an operational and carbon management tool, providing a quantified business case, traceable Scope 2 emissions, and measurable savings from the very first weeks.
Optimise your CSRD scoring
Energy is a data issue. Your buildings generate thousands of data points. You only analyse a tiny fraction of them.
Energy is a data issue
A medium-sized commercial building generates thousands of signals continuously: HVAC, lighting, servers and data centres, production equipment, charging points.
These systems operate in silos. They were never designed to communicate with one another.
The result is predictable: heating and air conditioning run simultaneously. HVAC equipment drifts silently for weeks before a technician identifies the problem. Consumption peaks result in avoidable excess consumption penalties. And your Scope 2 emissions are calculated using a flat-rate estimate – not measured, not verified, not auditable.
The promise of artificial intelligence applied to energy is not just a matter of decarbonisation. It is about regaining operational control over a cost centre that nobody is really managing.
Since 2026, two obligations have converged on organizations with more than 250 employees or €40 million in revenue: the CSRD imposes structured and auditable non-financial reporting that includes Scope 2 emissions (energy consumption of buildings). Penalties and reputational risks for estimated vs proven data are increasing. Meanwhile, energy costs remain volatile and the pressure on procurement departments is intensifying.
These two agendas—the financial agenda and the carbon agenda—do not need two separate programs. A single model, fed by the data you already have, produces metrics for both directions simultaneously.
The convergence between the financial agenda and the carbon agenda is the structuring positioning of our Energy Data Intelligence offer. It responds to a field observation: the Purchasing and Energy Transition departments track the same data through separate channels, with separate tools, and separate reporting.
Our AI engine aggregates the consumption data you already have (communicating meters, Enedis remote readings, Météo-France weather data, GTB/CMMS sensors, occupancy data) and simultaneously produces the Purchases dashboard (savings in euros) and the Carbon dashboard. (tons of CO2 avoided, Scope 2 calculated in a traceable and auditable manner).
Case studies
Deployment of a team of experts to ensure synergy between business and IT and the strategic prioritisation of actions
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