
Icosa Computing is a New York City startup that leverages physics-inspired methods to enhance optimization pipelines in finance and AI. The company utilizes quantum-inspired techniques to effectively tackle discrete optimization challenges, with applications ranging from financial asset selection to improving the reasoning accuracy of generative AI systems like large language models. Icosa's innovative approach positions it at the intersection of advanced technology and finance, making it a notable player in the quantum computing landscape.

Icosa Computing is a New York City startup that leverages physics-inspired methods to enhance optimization pipelines in finance and AI. The company utilizes quantum-inspired techniques to effectively tackle discrete optimization challenges, with applications ranging from financial asset selection to improving the reasoning accuracy of generative AI systems like large language models. Icosa's innovative approach positions it at the intersection of advanced technology and finance, making it a notable player in the quantum computing landscape.
Headquarters: New York City
Core offering: Physics-inspired optimization infrastructure for local/on‑prem and domain‑customized AI models
Founder: Mert Esencan
Recent financing: Pre-Seed $500,000 (Jan 1, 2024) and a $1.4M NSF award (grant)
Team size (approx.): 8 employees
Discrete and structured optimization for AI reasoning and finance (e.g., asset selection, combinatorial reasoning for generative AI).
2022
Artificial intelligence / Optimization
Listed as a grant round on Crunchbase (amount obfuscated in available view).
1,400,000 USD
Company reports a $1.4M NSF award to accelerate AI reasoning (non‑dilutive).
500,000 USD
Pre-Seed round listed on Crunchbase.
“Investors include ScaleX Ventures (pre‑seed) and Duality (grant)”