Kvasir Technologies
Our philosophy is that the world can be understood. We strive to build and train neural networks that incorporate and model the fundamental cause-and-effects in the market — be it how global economies and markets work or how people think and make decisions differently. Our algorithms are driven by underlying economic reasoning and our machine learning and AI strategies find and leverage signals in the market, e.g. supply and demand imbalance, a mixture of technical and fundamental drivers of stock price or a structural mispricing between an index ETF and its constituent stocks.
Kvasir Technologies
Our philosophy is that the world can be understood. We strive to build and train neural networks that incorporate and model the fundamental cause-and-effects in the market — be it how global economies and markets work or how people think and make decisions differently. Our algorithms are driven by underlying economic reasoning and our machine learning and AI strategies find and leverage signals in the market, e.g. supply and demand imbalance, a mixture of technical and fundamental drivers of stock price or a structural mispricing between an index ETF and its constituent stocks.
TL;DR
Location: London (100 Bishopsgate, 18th Floor)
Founded: 2018
Team size: ≈11 employees
Business: AI-driven quantitative trading / systematic investing
Funding: Grant from European Innovation Council (Mar 23, 2022)
Company Overview
Problem Domain
Quantitative trading, market signal detection, systematic investment strategies
Founded
2018
Industry
Financial services / Quantitative trading / AI
Funding Track Record
Reported as a grant from the European Innovation Council
Investor Signal
“European Innovation Council grant recipient”