Sókn Engineering develops proprietary deterministic mathematics and recombinant artificial intelligence systems designed to improve how global commodity markets are priced, coordinated, and understood.
Sókn Engineering is disrupting the global commodities pricing and trading sector with proprietary forecasting models tailored for the pricing of virtually all commodities, Real World Assets (RWAs), and financial instruments modeling and trading.
The Company’s mathematical models utilize cutting-edge modular calculus to accurately measure pricing pressures, pricing behaviors, and forecast accurate price movements to a half penny.
Sókn’s technology has virtually unlimited applications — primarily focused on commercial applications for hedge funds, more efficient pricing of Dark Pools (off-exchange commodity transactions), a Global Commodities Index, and a Global Commodities Exchange (GCE3) based on Web3.
The Company’s technology can serve any entity involved in the pricing, trading, or movement of commodities and RWAs — including hedge funds, trading desks, sovereign entities, and sovereign wealth funds.
Sókn Engineering was established in 2020 through the consolidation of an engineering consulting firm and a group of individuals who had been developing core technology for nearly two decades — combining deep mathematical research with applied engineering to address structural inefficiencies across global commodity markets.
Sókn Engineering’s vision is the deployment of GCE3 as a distributed global commodity exchange architecture — a coordinated intelligence layer capable of supporting sovereign wealth funds, multinational commodity producers, global energy markets, and large-scale humanitarian procurement programs at scale.
Sókn Engineering was built on a single observation: global commodity markets — representing over $20 trillion in annual transactions — still operate across fragmented, disconnected systems that rely on probabilistic guesswork rather than structural intelligence. The founding team set out to change that.
Unlike any system on the market, Sókn’s platform doesn’t attempt to model markets from the outside — it operates from within the live price environment itself.
Using proprietary Modular Calculus, Deterministic Chaos Mathematics, Vector Encryption Models, and Polymorphic Differential Rate Sequencing, the system processes 550 million algorithms across 32 trillion thought processes every 300 milliseconds — delivering forecasting accuracy to a half penny, independently audited.
Sókn Engineering stands for precision over estimation, structure over fragmentation, and the belief that advanced mathematics — applied with purpose — can fundamentally improve the systems that move global markets.
Sókn Engineering is a woman-owned STEM company that brings together mathematicians, engineers, and market specialists from across the globe — united by a shared conviction that the most complex problems in global finance deserve the most rigorous solutions.
25+ years in business and strategic development across General Motors Finance and WFS Financial Services (Wells Fargo). Expertise in building teams, achieving consensus, and executing on large-scale strategic plans. University of Virginia, Interdisciplinary Studies.
25+ years of experience in scalable infrastructure, cloud technologies, and enterprise architecture across healthcare, law enforcement, finance, and large-scale data platforms. Background includes Pumpjack Dataworks, ZW-Tech, AMS, Terumo BCT, and Comprehensive Software Systems.
PhD in Dark Matter Particle Physics, UC Davis. Postdoctoral Fellow, Univers et Particules de Montpellier, France. C.V. Raman Fellow, Center for High Energy Physics. Author of 20+ published papers across national journals and peer review proceedings.
MBA in Analytical Finance, University of Chicago Booth School of Business. Background includes Deutsche Bank (Technology & Healthcare Cross Border M&A), Kidder Peabody & Company (Investment Banking), and Booz Allen Hamilton.