Dataloop AI

Dataloop Ai

Computer Software, Galgalei Haplada 20, Herzliya, , 4673312, Illinois, United States, 51-200 Employees

dataloop.ai

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Who is DATALOOP AI

Dataloop AI's end-to-end platform covers the entire AI lifecycle, from development to production. A one-stop shop for generating datasets from unstructured data. Our data-centric technolo...

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  • Galgalei Haplada 20, Herzliya, Illinois, 4673312, United States Headquarters: Galgalei Haplada 20, Herzliya, Illinois, 4673312, United States
  • 2017 Date Founded: 2017
  • 51-200 Employees: 51-200
  • dollar-icon Revenue: $25 Million to $50 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Computer Software

SIC SIC Code: 7372 | NAICS Code: 513210 | Show More

checked-icon Does something look wrong? Fix it. | View contact records from DATALOOP AI

Dataloop AI Org Chart and Mapping

Employees

Cristian Lopez

Business Development Representative

Gabriela Koren

Chief Revenue Officer (Cro)

Yasmeen K

Enterprise Customer Success Manager

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Frequently Asked Questions Regarding Dataloop AI

Answer: Dataloop AI's headquarters are located at Galgalei Haplada 20, Herzliya, , 4673312, Illinois, United States

Answer: Dataloop AI's phone number is +14*********

Answer: Dataloop AI's official website is https://dataloop.ai

Answer: Dataloop AI's revenue is $25 Million to $50 Million

Answer: Dataloop AI's SIC: 7372

Answer: Dataloop AI's NAICS: 513210

Answer: Dataloop AI has 51-200 employees

Answer: Dataloop AI is in Computer Software

Answer: Dataloop AI contact info: Phone number: +14********* Website: https://dataloop.ai

Answer: Dataloop AI's end-to-end platform covers the entire AI lifecycle, from development to production. A one-stop shop for generating datasets from unstructured data. Our data-centric technology stack includes a data management and annotation platform to streamline the process of generating data for deep learning, while our automation pipelines accelerate AI projects to production, reducing costs and saving extensive engineering efforts on complex tools. Even though deep learning takes computer vision to the next level, and is now better in most scenarios than human vision, it is still not widely adopted. We believe that data is the #1 barrier to adopting this technology. Our vision is to make deep learning-based computer vision solutions accessible (i.e. affordable) to all.

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