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our technology trades energy.

real-time

automated

algorithmic

renewables are redefining the dynamics of energy markets

As we strive towards a net-zero future, energy production is becoming increasingly dependent on the weather. This magnifies volatility and data complexity in energy trading.

A clean energy mix can only be traded efficiently by machines.

our approach

true machine trading requires end-to-end automation

Our proprietary technology automates processes across every step of the energy trading value chain, from data to intelligence to execution.

01.

data

our data flows in
real-time, just like the energy we are trading

To enable our machines to make decisions and execute trades within milliseconds, we process millions of complex data points every second.

100% in real-time

02.

intell
igen
ce

traders rely on intuition, our machines rely on data

Determining at which price and volume to trade is considered the “intelligence” in energy trading. We let our machine learning models decide.

100% automated

03.

exe
cu
tion

algorithmic decisions call for algorithmic execution

Volatility spikes occur regularly in weather-based energy markets. To capture those, we break down every trading decision into hundreds of micro-orders.

100% algorithmic

data

01.

02.

intell
igen
ce

03.

exe
cu
tion

our data flows in
real-time, just like the energy we are trading

To enable our machines to make decisions and execute trades within milliseconds, we process millions of complex data points every second.

100% in real-time

traders rely on intuition, our machines rely on data

Determining at which price and volume to trade is considered the “intelligence” in energy trading. We let our machine learning models decide.

100% automated

algorithmic decisions call for algorithmic execution

Volatility spikes occur regularly in weather-based energy markets. To capture those, we break down every trading decision into hundreds of micro-orders.

100% algorithmic