haistack.ai

Haistack.Ai

Information Technology And Services, 940 E 2nd St, Los Angeles, California, 90012, United States, 11-50 Employees

haistack.ai

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

Who is HAISTACK.AI

haistack.AI is an Artificial Intelligence company focused on the legal recruiting industry. Using data compiled from the leading legal industry data sources, coupled with data collected o...

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  • 940 E 2nd St, Los Angeles, California, 90012, United States Headquarters: 940 E 2nd St, Los Angeles, California, 90012, United States
  • 2022 Date Founded: 2022
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $50 Million to $100 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7361 | NAICS Code: 424990 | Show More

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haistack.ai Org Chart and Mapping

Employees

Sarkis Adajian

Marketing & Brand Manager

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Frequently Asked Questions Regarding Haistack.ai

Answer: haistack.ai's headquarters are located at 940 E 2nd St, Los Angeles, California, 90012, United States

Answer: haistack.ai's phone number is +13*********

Answer: haistack.ai's official website is https://haistack.ai

Answer: haistack.ai's revenue is $50 Million to $100 Million

Answer: haistack.ai's SIC: 7361

Answer: haistack.ai's NAICS: 424990

Answer: haistack.ai has 11-50 employees

Answer: haistack.ai is in Information Technology and Services

Answer: haistack.ai contact info: Phone number: +13********* Website: https://haistack.ai

Answer: haistack.AI is an Artificial Intelligence company focused on the legal recruiting industry. Using data compiled from the leading legal industry data sources, coupled with data collected over decades in the lateral recruiting market, haistack identifies the best candidates for a specific position. We do not simply match based on common candidate criteria, we use Machine Learning to identify patterns of successful candidate placement. Our results not only identify the best possible candidates but also tell you why they are the best candidates. With each new iteration our models learn and improve to become better. Each candidate is unique. Each position is unique. #FindYourNeedle

Answer:

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