Live on a running digital twin

Know where your network is under
pressure — and what to do about it

Wattcurve turns charging network data into operational decisions: it detects congestion and capacity imbalance across your network, explains why it's happening, recommends what to do, and simulates the impact before you act.

Request Demo Invite-only, five minutes, no sales call to get in.

DetectExplainRecommendSimulate

3,737Real stations modelled
3Network scenarios
10sRecommendation refresh

What it is

Which parts of your network are becoming constrained — and where do you have unused capacity?

Your CMS answers "what is happening at my chargers?" Wattcurve answers "given what's happening across my network, what should I do?" It runs on the data your charging ecosystem already produces (CPMS, OCPP, OCPI) — it's a decision layer on top, not another system to operate instead.

Detect & explain

Stations repeatedly saturating during peaks, ranked by how much it's costing — with the sustained pattern and nearby spare capacity that make the case, not a single busy moment.

Recommend

Rebalance demand to underused capacity nearby, or flag that a site needs more capacity of its own — each recommendation carries the evidence and the projected impact of doing nothing.

Simulate

"What happens if demand rises 30%?" — answered before it does. A live network can't be A/B tested, so the twin runs the counterfactual instead.

Asset health — a connector that reports itself available and never delivers — surfaces the same way, as a secondary finding your CMS can't see on its own.

Who it's for

Built for the people who own the network

See it running

Real geography, real load, real recommendations

3,737 real Portuguese stations, already under simulated load — not a sanitized fixture. Every number on screen traces back to something checkable.

Executive dashboard: network health, utilization, and priority actions
The network summarized in thirty seconds — health, utilization, and the actions that would change a decision today.
Impact analysis: modelling a 30% demand increase across the network
Impact analysis: which stations tip into congestion under +30% demand, before it happens.

Get access

Request the demo

Every request is reviewed personally. Approved requests get a link straight into a live, guided walkthrough — no signup, no password, no configuration once you're in.