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pytho

Pytho

Information Technology And Services, 866 President St, Brooklyn, New York, 11215, United States, 1-10 Employees

pytho.io

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phone no Phone Number: +13*********

Who is PYTHO

At pytho, we help organizations harness and maximize the analytical power of their own human resources. We've developed proprietary tools -- like neuerTM and Human ForestTM -- and we desi...

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  • 866 President St, Brooklyn, New York, 11215, United States Headquarters: 866 President St, Brooklyn, New York, 11215, United States
  • 2016 Date Founded: 2016
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: Under $1 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7389

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pytho Org Chart and Mapping

Employees
Pavel Atanasov

Pavel Atanasov

Co-Founder

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Frequently Asked Questions Regarding Pytho

Answer: pytho's headquarters are located at 866 President St, Brooklyn, New York, 11215, United States

Answer: pytho's phone number is +13*********

Answer: pytho's official website is https://pytho.io

Answer: pytho's revenue is Under $1 Million

Answer: pytho's SIC: 7389

Answer: pytho has 1-10 employees

Answer: pytho is in Information Technology and Services

Answer: pytho contact info: Phone number: +13********* Website: https://pytho.io

Answer: At pytho, we help organizations harness and maximize the analytical power of their own human resources. We've developed proprietary tools -- like neuerTM and Human ForestTM -- and we design custom software to collect, analyze, quantify and boost the thinking and predictions that underlie your organizations most critical decisions. Our services include training to help people hone their ability to hunt for, verify and process information better to yield greater predictive accuracy; diagnostic tools to permit decision-makers to generate smart, well-reasoned choices with less bias and noise; prediction tournaments to distill the wisdom of crowds inside and outside an organization; and augmented cognition systems to harness the power of hybrid predictive models by improving the interface between humans and machines.

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