OptiGrid is an Australian battery optimisation and trading intelligence platform purpose-built for the complexities of the National Electricity Market. As Australia transitions to a renewable grid, batteries are critical, but their success depends on how well they're operated.
Built on years of research in AI-driven forecasting and battery optimisation, we give asset owners the clarity and confidence to make battery investment decisions. With deep market knowledge, we maximise battery performance to deliver the highest returns and help accelerate Australia's clean energy future.

In 2018, our Co-Founder, Dr Ali Pourmousavi, noticed grid-scale batteries were on the path to revolutionise the grid, but their financial success depended on sophisticated operation systems that didn’t yet exist.
In 2018, our Co-Founder, Dr Ali Pourmousavi, noticed grid-scale batteries were on the path to revolutionise the grid, but their financial success depended on sophisticated operation systems that didn’t yet exist.
Two research tracks began in 2020: one on electricity price forecasting, the other on battery trading and operations optimisation.
Two research tracks began in 2020: one on electricity price forecasting, the other on battery trading and operations optimisation.
Over the years, our team developed new types of ML-based forecasting models, while advancing the science of battery optimisation and trading.
Over the years, our team developed new types of ML-based forecasting models, while advancing the science of battery optimisation and trading.
These parallel research streams finally converged into OptiGrid's founding mission: to unlock the full potential of grid-connected batteries.
These parallel research streams finally converged into OptiGrid's founding mission: to unlock the full potential of grid-connected batteries.

Engineer -> Researcher -> Entrepreneur. Ex-AEMO, PhD on developing trading algorithms for utility-scale batteries in the NEM.
CEO & Founder

PhD-trained data scientist specialising in developing machine learning-based forecasting and real-time optimisation models.
Data Science Lead & Founder

20+ years growing tech businesses, specialising in customer relationships and long-term strategic partnerships
Chief Commercial Officer

Over a decade of experience in software engineering and data science, with a focus on building highly reliable real-time systems.
Software Development Lead

10+ years in wholesale risk management, revenue growth, and structuring commercial models and offtakes for energy assets.
Director of Market Strategy
South Australia has gone quickly from a fossil-powered laggard to having the world’s highest share of wind and solar in a gigawatt-scale grid, with a 75% share at June 2024. The state is targeting 100% net renewables by 2027. And it’s also part of Australia’s National Energy Market, which was one of the first jurisdictions globally to move to 5-minute settlements. While this is a cause for celebration, it comes with big challenges for energy market operators.

Think crypto or pork belly futures are volatile? They have nothing on Australian energy prices. The graph above shows electricity prices in South Australia on one day in 2017. In those days energy prices were much more predictable. Prices peaked when everyone got up and turned on the kettle in the morning, and in the evening when we came home from work.

Wholesale electricity prices in South Australia were fairly predictable only a few years ago
Just seven years later, it’s a very different and much more unpredictable story. Prices commonly go negative in the middle of the day when renewable generation exceeds 100% of demand. At other times, the market peaks at 2x or 3x times the price it used to peak at. Forecasting electricity prices and responding to them just got so much harder. And it’s likely to get harder as the transition continues. We’re addressing these challenges by building tools that help energy assets, particularly batteries, operate at the right times. Our solutions improve market efficiency and accelerate the adoption of renewable energy sources.

Now prices are far more volatile, with bigger spikes and higher price ranges occurring more often