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Aves Lair Announces Inaugural Accelerator Cohort

Aves Lair, a New York-based venture capital and frontier technology accelerator, announced the three innovative startups that make up its Winter 2020 cohort. The program, which is being organized virtually from New York City, launched in December 2020 and will continue through 2021.

Aves Lair’s vision for the program is to help tech startups overcome pain points by leveraging the accelerator’s robust ecosystem and resources “to help each cohort company secure an experienced engineering team to build or audit their product in a very short time,” according to Dr. Chong Li, venture partner at Aves Lair who for the past several years has been teaching AI and blockchain technology at Columbia University.

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We leveraged our adept team of researchers and developers to help us secure preeminent startups in their industries

“We leveraged our adept team of researchers and in-house tech knowledge to help us secure preeminent startups in their respective industries,” said Marian Tong, venture partner at Aves Lair.

Aves Lair consulted the founders of each startup in the cohort “to assess what kind of program would be a better fit for them,” Marian Tong added. The accelerator will design a bespoke program for each cohort startup to suit its unique needs.

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Aves Lair will mobilize the wealth of resources at its disposal – including the accelerator’s in-house technical capabilities, and a global network of experts and mentors in the AI, blockchain, cloud, and data analytics verticals – to boost the development of each startup in the Winter 2020 cohort.

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Aves Lair selected the following groundbreaking startups to comprise the Winter 2020 cohort:

BLOCKSPORT
Blocksport is a developer of a social sports platform designed to reach, activate, engage, and monetize the sports community.

DLCC
Digital Lending Capital Corp (DLCC) is a full-service prime brokerage software solution in the rapidly expanding digital assets market.

SUBSTRATA
Substrata is the developer of a language processing software platform designed to analyze subtext.

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