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Houston leader discusses the AI revolution in energy forecasting

Amperon CEO Sean Kelly discuss the AI revolution in energy forecasting. Photo via LinkedIn

“Forecasting isn’t just about demand anymore—it’s about net demand, accounting for the variability of renewables like wind and solar.”

This insight from Sean Kelly, co-founder and CEO of Amperon, captures the seismic shift occurring in energy forecasting. With renewables surging, grid dynamics growing more complex, and demand more unpredictable than ever, the stakes have never been higher.

On a recent Energy Tech Startups Podcast, Kelly breaks down how Amperon’s AI-driven platform is transforming the way energy providers anticipate demand, mitigate risk, and embrace renewables. Named one of the Top 50 AI Companies in the U.S. by Andreessen Horowitz, Amperon is pushing the boundaries of what’s possible in energy technology.

Here’s a closer look at Kelly’s journey, the challenges he’s tackling, and the insights driving Amperon’s success.

What problem is Amperon solving?

Why does the energy sector need better forecasting now?
The energy grid is evolving at lightning speed. With 25 gigawatts of wind and 20 gigawatts of solar in Texas alone, the focus has shifted from simple demand forecasting to net demand forecasting. It’s not just about predicting how much electricity people will use—it’s about understanding how renewables will interact with that demand.

For example, if it’s a windy day in Texas, prices drop, and the grid behaves very differently. Accurate forecasting helps providers mitigate risk, plan ahead, and prevent costly errors in buying or selling electricity.

The Amperon approach: Why AI is essential

What sets Amperon’s technology apart?
Our models retrain every hour—not every month or even daily. Since launching in 2018, we’ve been continuously learning and adapting to the grid’s behavior. This is critical because the energy sector’s complexity is increasing every day.

We also leverage data from over 10 million meters across the U.S. and Europe, giving us unmatched insights into both individual assets and entire markets. Our tech isn’t about static solutions; it’s dynamic, evolving alongside the grid.

Building for scale: A strategic playbook

How has Amperon scaled from a Houston startup to a global player?
It starts with focus. We began with a clear problem: helping Texas retailers manage risk in a deregulated market. From there, we expanded into other customer segments—traders, public utilities, independent power producers, and more.

Partnerships have been key, too. For example, Microsoft has been instrumental in connecting us with utilities through the Azure marketplace. These collaborations not only enhance credibility but also streamline access to new customers.

The Case for Better AI in Energy

Kelly believes the energy industry is overdue for a technological overhaul. While legacy companies rely on outdated models, Amperon is built on cloud-native AI systems that can handle today’s complexity.

“The challenge isn’t just predicting demand—it’s adapting to constant change,” Kelly says. “Legacy systems weren’t built for this level of complexity. AI that learns every hour is no longer optional—it’s essential.”

Lessons for Entrepreneurs

  1. Stay Customer-Centric: Amperon’s early success came from solving a clear, urgent need for Texas energy retailers. “Product-market fit is everything,” Kelly emphasizes.
  2. Invest in Talent: By hiring data scientists from top companies like Google and Meta, Amperon has built a team capable of tackling the hardest problems.
  3. Leverage Partnerships: Collaborations with players like Microsoft have amplified Amperon’s reach and trust in the market.

What’s next for Amperon?

With over $30 million raised and a rapidly growing global presence, Amperon is doubling down on innovation. The company plans to expand its asset-level forecasting capabilities and deepen its presence in international markets.
“The energy transition is running through Houston,” Kelly says. “This city has the talent, the capital, and the expertise to lead the way.”

Listen to the full episode with Sean Kelly on the Energy Tech Startups Podcast here.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


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A View From HETI

Merab Momen, founder of AI CTO Services. Courtesy Photo

Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


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