BlockScience Revenue and Competitors

BlockScience provides strategy, research and analytics for the design, evaluation and monitoring of economic systems which emerge from the incentives and mechanisms implemented via blockchain networks and smart contracts. The team is founded and directed by Dr. Michael Zargham; data and decisions systems architect who has been doing applied research on socio-technical systems since 2005 including but not limited to peer-to-peer influence and enterprise decision models for market research applications, a PhD from the University Pennsylvania focusing on control and optimization of decentralized systems, research and development of a decentralized digital media marketplace, as well as envisioning, building and scaling a data science team for an Ad Tech firm. Block science provides access to skills ranging from formal mathematical specifications of network design, derivation of properties from those specifications, and numerical experiments of those mathematical models. BlockScience also provides operational and technical executive support in the areas of logging requirements, KPI design, data science team building and defining requirements for analytical products based on machine learning and blockchain network data.