Semantic Machines Competitors and Similar CompaniesClear all

Semantic Machines's competitors and similar companies include Voysis, Aigent, Snips and temi.

	Semantic Machines Semantic Machines is a company engaged in the development of AI-based conversation voice interface technology.	Voysis Voysis is a complete voice AI platform that enables natural language instruction, search and discovery across consumer and enterprise applications.	Aigent Aigent is a company that specializes in technology for customer support agent assistance.	Snips Snips is an artificial intelligence voice platform that runs on the edge, without sending any voice data to the cloud.	temi temi (formerly known as Roboteam Home USA) is a company that develops an AI-powered personal robot assistant.
Founding Date	Founding Date 2014	Founding Date 2012	Founding Date 2017	Founding Date 2013	Founding Date 2015
Type	Type Subsidiary	Type Subsidiary	Type Private	Type Private	Type Private
Tags	Tags Technology artificial intelligence machine learning speech recognition	Tags Technology artificial intelligence machine learning speech recognition	Tags Technology artificial intelligence machine learning speech recognition	Tags Technology artificial intelligence machine learning platform speech recognition	Tags Technology artificial intelligence cloud machine learning platform robotics
Locations	Locations HQ	Locations Dublin 2, IE HQ Dublin, IE Edinburgh, GB Boston, US	Locations Amsterdam, NL HQ New York, US	Locations New York, US HQ Paris, FR Minato City, JP	Locations New York, US HQ Shenzhen, CN Tel Aviv Yafo, IL Singapore, SG
Employees	Employees 6	Employees 398% increase	Employees 244% increase	Employees 56	Employees 733% increase
Funding
Latest funding round	Latest funding round N/A	Latest funding round N/A	Latest funding round N/A	Latest funding round $ 1.7m (about 8 years ago)	Latest funding round $ 15m (over 6 years ago)
Total funding raised	Total funding raised $ 20.9m	Total funding raised $ 8m	Total funding raised N/A	Total funding raised $ 24.8m	Total funding raised $ 36m