In a world saturated with algorithmic trading tools and off-the-shelf AI hype, Sókn Engineering is charting a radically different approach. At the center of this shift is Lagertha, a proprietary, intelligent forecasting system built on modular calculus and scientific modeling with mathematical precision. It's not just another predictive model. It's a forecasting system designed to understand the market like a living, learning entity.
"Most people think trading is about volume and reaction speed," says Sókn Engineering. "But real forecasting comes from understanding the environment you are in and evolving with it. That's what Lagertha does."
Sókn Engineering has spent over 13 years modeling polymorphic environments, those complex, constantly shifting systems like financial markets that are intentionally designed to create unpredictability. Sókn Engineering came up with the significant solution: A quantum metrics framework that is capable of analyzing the smallest measurable changes in commodity markets, including Crude Oil, Gold, Copper, Corn, etc. It scales to provide insight into accurate and actionable forecasts.
"What we have built is not algorithmic trading," Cassie Monaco, Co-Founder and CEO of Sókn Engineering, clarifies. "We are not running canned systems that fire off when a line crosses another line on a chart. Lagertha writes new mathematical algorithms in real-time. It learns, reasons, and adapts. That's what separates us."
Sókn Engineering's flagship tool, Lagertha, forecasts price movements with such precision that it can estimate the price of commodities like oil price shifts, weeks, or even months in advance. During major geopolitical upheavals, recent tariffs, the COVID-19 crash, and more recently, Middle East conflicts, Lagertha performed exceptionally well in the commodity markets, consistently forecasting the price movement of Crude Light Oil with the utmost accuracy.
Unlike traditional systems that rely on QuantStat, large-scale data crunching, and static machine learning models, Lagertha draws on quantum metrics, an approach Sókn explains as "writing a story from the tiniest fragments of information." That story forms the foundation for what Sókn offers: clarity in markets that are inherently designed to be unclear.
"Commodities are different from equities," Sókn Engineering says. "They are not optional. They are necessary. You need energy, food, and shelter. Because of that, they follow political patterns, fixed movements influenced by governments, not just trading activity. And those digital footprints are what we have modeled for decades."
Sókn Engineering is more than just a technology company. It's a team of engineers, physicists, data scientists, and AI engineers who have built tools not for speculation, but for institutional-level application. "Our mission has always been about innovation with integrity," says Monaco. "We are here to provide clarity in places where confusion is the norm."
And that mission is quickly gaining traction. Sókn Engineering is currently advancing through its Series A funding and preparing for global expansion, including plans for an international commodities exchange built on Web3 infrastructure, smart futures contracts, and a native token.
"Our system was not built to chase trades," Sókn Engineering adds. "It was built to understand value, how it's created, manipulated, and ultimately priced. That's a different paradigm entirely."
Lagertha's strength lies in its ability to operate at both the micro and macro levels. By mimicking the learning process of a child, absorbing each new piece of environmental input while retaining core principles, it functions like a cognitive system, not just a computational one.
"Lagertha doesn't start from scratch every day," Monaco explains. "It recalls past environments, compares them to the current one, and makes adjustments. It doesn't move massive amounts of data. It just knows what data matters."
Sókn's approach also avoids the pitfalls of modern AI hype. "Just because something runs without a human doesn't make it intelligent," Sókn Engineering says. "True AI has to reason. It has to decide in a never-before-seen environment. Most systems today can't do that. Lagertha can."
And while the company avoids being labeled a "trading company," their technology is positioned to support large commercial and governmental entities, sovereign wealth funds, oil producers, proprietary trading desks, and family offices looking for precision tools in unpredictable markets and in the pricing of real world assets.
"In a trillion dollar commodities market, precision matters," Sókn Engineering says. "And more importantly, liquidity matters. Our system allows the movement of billions of dollars through the market without distorting it, because you are not pushing the market. You are moving with it."
Ultimately, Sókn Engineering is not just building tools for today. It's preparing the infrastructure for tomorrow, a decentralized, intelligent marketplace where value is understood before it's traded, and where AI augments reason, not replaces it.
"Accuracy is power," Monaco concludes. "And with Lagertha, we are putting that power where it belongs, in the hands of people who can use it responsibly."
