Cord (Business/Productivity Software) is Business/Productivity Software in United States that focus on machine learning engineers business. Founded in 2020. They cover business area such as developer, an algorithmic datum labeling platform, manual annotation, computer vision, powerful tool, seamless collaboration, role, team, domain-expert annotator, to project manager, machine learning engineer, datum scientist, researcher, training datum, machine learning application, hour, manual labeling.
Business/Productivity Software
2020
( 4 years old in 2024 )
Machine Learning Engineers
-
2261 Market Street
Suite 4217
San Francisco, CA 94114
United States
Private
developeran algorithmic datum labeling platformmanual annotationcomputer visionpowerful toolseamless collaborationroleteamdomain-expert annotatorto project managermachine learning engineerdatum scientistresearchertraining datummachine learning applicationhourmanual labeling
* We use standard office opening hours in near Cord (Business/Productivity Software)'s location as default value for unknown and outdated data. For more valid info, please verify the info from more trusted sources like GoogleMyBusiness, Yelp, FourSquare or similar services.
Cord (Business/Productivity Software) is Business/Productivity Software business from United States that founded in 2020 (4 years old in 2024), Cord (Business/Productivity Software) business is focusing on Machine Learning Engineers.
Cord (Business/Productivity Software) headquarter office and corporate office address is located in 2261 Market Street Suite 4217 San Francisco, CA 94114 United States.
Cord (Business/Productivity Software) was founded in United States.
In 2024, Cord (Business/Productivity Software) is currently focus on machine learning engineers sector.
Above is snippet of Google Trends for "machine learning engineers" term, if you have problem loading the snippet, please visit here: Google Trend.
Disclaimer: This website is not affiliated with Cord (Business/Productivity Software), any government agency, does not create this data, vouch for its accuracy, or guarantee that it is the most recent data available. The data displayed is available through open government websites and public online directory. This website expressly disclaims the accuracy, adequacy, or completeness of any data and shall not be liable for any errors, omissions or other defects in, delays or interruptions in such data, or for any actions taken in reliance thereon.