Algorand

Decentralized blockchain infrastructure

A propos de Algorand

Fondé2017

Algorand is a decentralized, scalable, and secure blockchain infrastructure. It offers transaction throughputs at the speed of traditional finance, with immediate finality, near zero transaction costs, and 24/7 availability. From decentralized finance to generative NFT art, Algorand is powering the economic models of the future. Algorand was designed by MIT professor and Turing Award-winning cryptographer Silvio Micali.

Communauté
LinkedIn
Telegram
Twitter
Website
GitHub
Étiquettes
Infra
Layer1

Trend of Hot Index Change

Membres de l'équipe

Silvio Micali
Silvio Micali

Founder

Jacopo Cecchi
Jacopo Cecchi

Chief Operating Officer

Gary Malouf
Gary Malouf

Chief Technology Officer

Marc Vanlerberghe
Marc Vanlerberghe

CMO

Jing Chen
Jing Chen

Chief Scientist

Federico Demicheli
Federico Demicheli

Business Development Financial Services

Investisseurs

Multicoin Capital
Multicoin Capital
Bixin Ventures
Bixin Ventures
Lemniscap
Lemniscap
NGC Ventures
NGC Ventures
Youbi Capital
Youbi Capital
Foundation Capital
Foundation Capital
P2P Capital
P2P Capital
QCP Capital
QCP Capital
Kosmos Ventures
Kosmos Ventures
Continue Capital
Continue Capital
CMB International
CMB International
Pillar VC
Pillar VC
MetaStable Capital
MetaStable Capital
IMO Ventures
IMO Ventures
Nirvana Capital
Nirvana Capital
USV
USV

Détails du financement

Public Sale(2019-06-18)
Montant€56,91M
Estimation--
--(2018-10-23)
Montant€53,46M
Investisseurs
Multicoin Capital
Multicoin Capital
Bixin Ventures
Bixin Ventures
Lemniscap
Lemniscap
NGC Ventures
NGC Ventures
Youbi Capital
Youbi Capital
Foundation Capital
Foundation Capital
P2P Capital
P2P Capital
QCP Capital
QCP Capital
Kosmos Ventures
Kosmos Ventures
Continue Capital
Continue Capital
CMB International
CMB International
Pillar VC
Pillar VC
MetaStable Capital
MetaStable Capital
IMO Ventures
IMO Ventures
Nirvana Capital
Nirvana Capital
Estimation--
Seed(2018-02-14)
Montant€3,44M
Investisseurs
USV
USV
Pillar VC
Pillar VC
Estimation--