Lang.ai

Lang.Ai

Computer Software, , New York, United States, 11-50 Employees

lang.ai

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Who is LANG.AI

Automate tagging and repetitive actions in real-time for every support conversation. Add 5x the productivity of a full time agent in less than a week, while reducing the pressure on hirin...

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  • New York, New York, United States Headquarters: New York, New York, 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 LANG.AI

Lang.ai Org Chart and Mapping

Employees

Alanah Kuhn

Business Development Manager

Becky Song

Sr. Customer Success Manager

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Frequently Asked Questions Regarding Lang.ai

Answer: Lang.ai's headquarters are located at New York, United States

Answer: Lang.ai's official website is https://lang.ai

Answer: Lang.ai's revenue is $1 Million to $5 Million

Answer: Lang.ai's SIC: 7372

Answer: Lang.ai's NAICS: 513210

Answer: Lang.ai has 11-50 employees

Answer: Lang.ai is in Computer Software

Answer: Lang.ai contact info: Phone number: Website: https://lang.ai

Answer: Automate tagging and repetitive actions in real-time for every support conversation. Add 5x the productivity of a full time agent in less than a week, while reducing the pressure on hiring. We believe unstructured qualitative data is one of the most valuable assets for modern digital companies and where AI can drive the most impact. By putting the power of AI into the hands of subject-matter experts to activate it in a simple, visual way, were unlocking new workflows and data-driven decisions that werent possible before. This is especially true in Customer Experience organizations at D2C companies and modern Financial Services organizations that need to move fast to stay competitive in their markets. We help them scale in a smarter, faster way. Starting with their own data, they can become more efficient and focus on the customer, while at the same time driving deeper analytics that lead to retention -- in turn, transforming CX from a Cost Center into a Revenue Driver.

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