Large-scale energy projects such as nuclear power plants, solar farms, wind farms, battery storage, and data centers often experience delays during the siting and permitting stages. These steps can take 12 to 24 months, add up to $5 million in additional costs, and leave many projects stuck in regulatory or grid queues. These delays pose a major setback as AI data centers increase electricity demand and accelerate the energy transition.
Nyxium, a London-based deep tech company, has launched an AI platform that uses teams of agents to simultaneously handle geospatial analysis, regulatory compliance, grid issues, and community engagement. This method reduces the permitting timeline to just a few months.
The company has a $235,000 contract with the Kentucky Nuclear Development Authority (KNEDA) and is negotiating with more than 50 organizations in the nuclear, renewable energy and data center industries.
To support the company’s growth, Nyxium has raised £2.4m in pre-seed funding from Visionaries Tomorrow and EWOR.
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Nixium’s story begins with Dr. Thiri Shwesin Aung, who saw her family lose everything in Myanmar’s resource conflict more than a decade ago. She used spatial data and early AI to create damage assessment maps that supported international litigation. This experience led to Nyxium. Nyxium is an environmental intelligence platform that is currently attracting the attention of major governments and organizations (yes, acquisition talks are already underway).
Her co-founder, Dr. Paul Soulin, has spent years researching nuclear models and has seen many promising projects fail not because of technical issues but because of poor site selection, permitting delays, and power grid issues. Together they set out to solve these problems.
How does it work? Nyxium’s AI agents scan maps, regulations, power lines, land rules, and even local issues. They flag the best sites and prepare permission packages. The team holds patents on the fusion of data setup and agent coordination, computer vision, nuclear know-how, and the latest regulatory updates.
“Nyxium is an AI-driven infrastructure intelligence platform that integrates geospatial analytics, regulatory intelligence, grid constraints, and community risk into a single decision-making system,” Dr. Thiri Shwesin Aung told TFN. Our focus is on deployable sites, not theoretical suitability, and we are more than 99% reliable in identifying sites that are realistically permittable and buildable, and we support the entire lifecycle, from early siting to permit preparation and beyond.”
While tools like Esri ArcGIS focus on mapping, UpNext processes permit applications, and others like The Land Bank and Overland AI tackle specific tasks, Nyxium provides a complete solution from site selection to project approval.
What about diversity, what is it like to be a woman in tech?
On diversity, Dr. Thiri Shwesin Aung said, “Our team spans multiple nationalities and professional backgrounds across energy, geospatial science, AI, and policy. As an early-stage company, we are focused on building diverse leadership from the beginning, rather than building it in later.”
On being a woman in technology, Dr. Thiri Shwesin Aung added, “Building deep technology and infrastructure as a female founder has required tenacity and clarity, especially in a sector that has traditionally been dominated by engineering and finance. My advice to others is to stay grounded in real problems, build technical credibility early, and don’t wait for permission to come to the table.”
What’s next?
What’s next? The new funding will be used to upgrade the platform, hire engineers, and onboard initial customers. First, nuclear power (including small modular reactors), then solar, wind, storage, and data centers, where major companies are already moving in.
Dr. Thiri Shwesin Aung said, “In the next three to five years, our goal is to become the core decision-making infrastructure for large-scale energy and data systems around the world, supporting and enabling decision-making for thousands of infrastructure locations each year. We operate across multiple geographies, with tens of gigawatts of energy capacity and large-scale data It aims to be embedded upstream in projects that represent infrastructure deployment.”
