Bezant Tech

Bezant Technologies: ML applied to crypto investing
Bezant Tech’s mission is to produce consistent risk-adjusted returns by adhering to Machine Learning methodologies while building an exceptional firm that develops, excites, and retains world class people.

We are building a new asset management firm with machine learning technology at its core. We have built a scalable platform that collects thousands of inputs and optimizes Machine Learning (ML) algorithms to predict price movements in digital assets across multiple exchanges. Our platform has been developed over two years with three principles in mind: (i) scalability, (ii) flexibility, (iii) and availability.

Our first product is the Bezant Long-Short fund, which produces uncorrelated returns through short duration investments using multiple models with real-time relevant data inputs and an automated, multi-exchange trade execution process to deliver consistent and scalable, risk-adjusted returns. We optimize the strategy by exploiting pricing inefficiencies in cryptocurrencies as predicted by our models. Our returns are uncorrelated with both traditional portfolios (equities, fixed income, commodities, real estate, etc) and the underlying cryptocurrencies themselves. Our multiple optimized algorithms trade digital assets long and short under a short-term holding period. We collect data across onchain, supply, technicals, derivatives, sentiment and other macro data that are then engineered to extract features used by multiple ML algorithms.

Future products in the pipeline include a long-only crypto product, crypto venture product, and, in the long-term, traditional asset class products. Our strategy is to establish ourselves as the leader in ML-based crypto trading and subsequently expand to trade other asset classes.

We see opportunities to apply our ML intellectual property to create other solutions, increasing shareholder value without undermining the market position or profitability of the core hedge fund business.

Our partnership includes Nicolas Kseib, Ph.D. from Stanford who was a founding team member leading data science and platform at TruSTAR, a VC-backed, cybersecurity startup (successful exit to NYSE: SPLK); Stephen Parlett, CFA, former Partner and Portfolio Manager at Citadel managing $3B; Jeff Sanguinet, former Partner at Criterion ($3B AUM) overseeing all trading and operations; and Dhruv Singh, 3x entrepreneur (one successful exit, one on-going concern) who was previously in the Financial Institutions Group at McKinsey in New York.