About
Icosa Computing is a New York City-based startup founded in 2022 by Mert Esencan, applying quantum computing research to large-scale discrete optimization problems in finance. The company's origins lie in quantum computing and statistical physics, and its team of physicists and computer scientists developed core scheduling and optimization techniques from studying combinatorial Ising machines and quantum-inspired algorithms. Rather than experimental quantum applications, Icosa uses accessible annealing-based methods compatible with current technology. Its proprietary Dynamical Parameter Selector (DPS) builds optimal combinatorial models for use cases ranging from risk-minimized profits at funds to improving LLM reasoning accuracy in regulated industries. Icosa has optimized portfolios with more than 25,000 equities, beyond what is possible with classical solvers. The company raised $50K from ScaleX Ventures, the Duality Accelerator, and the Creative Destruction Lab, with support from the University of Chicago, UIUC, the Chicago Quantum Exchange, and Argonne National Laboratory.
Quantum Specifications
| Quantum Focus | software |