Mike Brusov

Mike Brusov is a co-founder and CEO of Cindicator [1]. His role in the organization involves leadership of the company in both foundational and executive capacities [1].

Insights & ideas

Mike Brusov frames Cindicator as a hybrid intelligence platform built on the idea that combining crowdsourced human judgment with machine learning produces better financial decisions than either approach alone [1]. He argues that thousands of participants submit predictions on price movements and market events through financial challenges, and this crowd data is then processed using multiple models, including neural networks and other techniques, with the system selecting the most relevant model for each specific case [1]. A recurring theme is that markets are inherently uncertain, so the goal is not perfect prediction but generating additional decision-support data that professional traders and fund managers can incorporate according to their own risk profiles and strategies [1]. He also emphasizes transparency, stating that all data and past predictions are published publicly so customers can evaluate performance [1]. Brusov positions the company as occupying a unique niche rather than facing direct competitors, preferring to view other blockchain-analytics projects as potential partners in building out a shared "market knowledge layer" [1].

Experience

1. 
   Co-Founder, CEO

   CindicatorOct 2015 to Present
2. Fellow

   Startup Leadership ProgramOct 2015 to Present
3. Head of Mobile Programmatic Products

   Between DigitalOct 2014 to Oct 2015
4. Co-founder, Product Owner

   WobotMar 2010 to Oct 2013

Education

• 500 Startups2020 - 2021
• Bauman Moscow State Technical University · Engineer's degree, Hydraulics and Fluid Power Technology/Technician2004 - 2010

Media & appearances

• Interview with Cindicator CEO Mike BrusovCryptoGarfield / BlockWide / Sapientia Space

  Mike Brusov discusses Cindicator's hybrid intelligence platform that combines human and artificial intelligence to help traders and investors make better decisions. He explains how the platform collects crowdsourced predictions on price movements and market events, then uses data science and machine learning models to generate actionable financial products. Brusov outlines the company's 2018 roadmap focused on expanding data collection and developing new indicator types for crypto markets and traditional assets.

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