Latent AI

Latent Ai

Computer Software, 333 Ravenswood Ave, Menlo Park, California, 94027, United States, 11-50 Employees

latentai.com

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Who is LATENT AI

Latent AI believes in a vibrant and sustainable future driven by the power of AI and the promise of edge computing. Our mission is to deliver on the vast potential of edge AI with solutio...

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  • 333 Ravenswood Ave, Menlo Park, California, 94027, United States Headquarters: 333 Ravenswood Ave, Menlo Park, California, 94027, United States
  • 2018 Date Founded: 2018
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $1 Million to $5 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 LATENT AI

Latent AI Org Chart and Mapping

Employees

Ryan Dailey

AI Research Scientist

Mark Griffin

Director of Software Architecture

Sarita Hedaya

Machine Learning Engineer

Videet Parekh

Machine Learning Engineer

Sek Chai

Co-Founder and CTO, Entrepreneur, Technology, Advisor

Jan Ernst

Director of Artificial Intelligence

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Frequently Asked Questions Regarding Latent AI

Answer: Latent AI's headquarters are located at 333 Ravenswood Ave, Menlo Park, California, 94027, United States

Answer: Latent AI's official website is https://latentai.com

Answer: Latent AI's revenue is $1 Million to $5 Million

Answer: Latent AI's SIC: 7372

Answer: Latent AI's NAICS: 513210

Answer: Latent AI has 11-50 employees

Answer: Latent AI is in Computer Software

Answer: Latent AI contact info: Phone number: Website: https://latentai.com

Answer: Latent AI believes in a vibrant and sustainable future driven by the power of AI and the promise of edge computing. Our mission is to deliver on the vast potential of edge AI with solutions that are efficient, practical, and useful. Latent AI helps a variety of federal and commercial organizations gain the most from their edge AI with an automated edge MLOps pipeline that creates ultra-efficient, compressed, and secured edge models at scale while also removing all maintenance and configuration concerns.

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