Energy systems are becoming more complex and volatile as the world accelerates towards decarbonisation. Behind-the-meter (BTM) energy storage is emerging as a key solution—helping stabilise power, lower costs, and support industrial sustainability. Yet few companies have made BTM projects both technically sound and financially viable.

CynLing Software is among the companies working to change that. As BTM storage gains global momentum, driven by unpredictable energy prices, stressed grids, and the growing need to decarbonise without sacrificing profitability, the demand for intelligent, financially sound solutions is more urgent than ever. From factories to data centres, operators are looking for systems that don’t just manage energy but prove their return.

How CynLing uses AI to turn strategy into precision

CynLing Software, a Singapore-based spinoff from Taiwan’s CynLing Renewables Inc., is tackling this head-on. The company focuses on AI-powered digital energy management, especially behind-the-meter solutions. “We split the energy storage project into two parts: planning and operations,” says EVP Nathan Lei. “AI plays a critical role in both.” 

The software uses artificial intelligence to simulate capacity needs, optimise control strategies, and model financial return. In operations, it helps ensure that the assets perform exactly as predicted, hour by hour.

Forward AI: Forecasting every hour, every scenario

At the heart of CynLing Software’s solution is Forward AI, an advanced digital energy management system. Unlike traditional energy software that relies on static assumptions, Forward AI is built on dynamic forecasting and reinforcement learning.

“We predict solar generation and factory load in 15-minute intervals using in-house models,” Lei explains. “For example, we integrate with a factory’s MES system to get production schedules. From there, we simulate the entire microgrid, from solar, to battery, to load, over 8,760 hours per year.”

These simulations aren’t just academic. In one instance, a competitor claimed a battery system would last 20 years. CynLing’s models, however, showed that due to high temperatures and intensive cycles, the actual lifespan would be closer to 16 years. “That insight saved our client millions in miscalculated investment,” Lei notes.

Also read: Empowering the future of Singapore: The need for SMEs to embrace renewable energy solutions

Generalization is the game-changer

One of CynLing Software’s most significant innovations lies in its ability to generalize AI models across geographies. This is something most energy management systems struggle to achieve.

“Legacy EMS solutions are often hardcoded for a single use case,” says Lei. “They don’t adapt well when conditions change.” In contrast, CynLing’s platform is trained using reinforcement learning in simulated environments, enabling it to handle diverse energy profiles, regulatory frameworks, and usage patterns across markets like Taiwan, Australia, and Southeast Asia.

This scalability, from model to deployment, is what powers CynLing’s broader digitalisation vision. “It’s what makes our software portable, cost-effective, and future-ready,” Lei adds.

Sustainability begins with bankability

CynLing Software doesn’t just optimise energy use, it proves financial viability, making clean energy projects more attractive to investors, banks, and insurers.

“Let’s face it,” Lei says, “renewables are unstable by nature. Sunlight fluctuates. Demand shifts. Batteries are expensive. The only way to scale this infrastructure is to prove it pays back.”

That’s why CynLing’s core service is focused on simulating real-world revenue and degradation models. It shows not just how energy is stored, but how much it earns, when, and for how long.

This matters especially in Southeast Asia, where clean energy demand is rising, but market trust is still fragile. “We’re working with private equities and developers in Thailand and Malaysia,” Lei adds. “Our models help them validate investments before deployment.”

Also read: 5 AI trends to watch in the next 12 months: Intelligent agents, cost reductions and compute power

From Singapore to the world: What’s next

With operations in Taiwan, Japan, Australia, and the U.S., CynLing Software is using Singapore as a launchpad for its regional ambitions. And while the company remains selective about new markets, it’s already eyeing broader Southeast Asian opportunities. It is particularly interested in data centers and industrial zones.

But growth isn’t the only goal. “We’re not here just to sell batteries,” says Lei. “We want our clients to optimize their assets. If the market crashes tomorrow, we’ve already simulated that for you. You’ll know how to pivot.”

When asked what drives him to keep pushing forward, Nathan Lei pauses. “At the end of the day, proving bankability is what allows sustainability to scale. That’s our mission: not just technology, but trust.

Join Smart Storage Taiwan in Nangang Exhibition Center Hall 1, Taipei, Taiwan on 29-31 October to connect with CynLing Software.

For more information, visit their website at https://cynling.com/en/.

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The e27 team produced this article sponsored by CynLing Software.

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Featured Image Credit: CynLing Software

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