People are getting connected.
You need to speak their language.
We crowdsource human language processing
for African and Asian languages.
People are getting connected.
You need to speak their language.
We crowdsource human language processing
for African and Asian languages.
grant, Uliza's ceo and co-founder, began thinking about how to make phones better information portals for people who speak local languages while working in Sierra Leone. This idea eventually became Uliza when he met Maity and Janeth at Tufts university.
today, Uliza provides human-assisted natural language processing for organizations that speak their people's language. We transcribe, translate, and answer questions in local african and asian languages, and can turn-around tasks in as quick as 5-minutes. We use the work of crowds and machine learning tools to build automated natural language processing in local languages.
grant, Uliza's ceo and co-founder, began thinking about how to make phones better information portals for people who speak local languages while working in Sierra Leone. This idea eventually became Uliza when he met Maity and Janeth at Tufts university.
today, Uliza provides human-assisted natural language processing for organizations that speak their people's language. We transcribe, translate, and answer questions in local african and asian languages, and can turn-around tasks in as quick as 5-minutes. We use the work of crowds and machine learning tools to build automated natural language processing in local languages.
Uliza NYC investors roadshow
Uliza's team brings years of experience in behavioral economics, finance, software development, and linguistic data.
Grant has a background in applying technologies for development, behavioral economics, and startups in Africa. Grant began thinking about how to make phones better information portals for people who speak local languages when he was in Sierra Leone working with MIT. This idea became Uliza when he met Maity and Janeth. Grant is based out of Nairobi and Cape Town.
Maity has a background in mathematics and finance. He has worked as a management consultant in the United States, and has experience as an economics teacher in India and in startups in Lebanon and the United States. Maity is a scrupulous data wizard. He is based out of Washington, D.C.
Janeth is a computer scientist specializing in natural language processing and has worked as a technology analyst for Deutsche Bank. A native Kiswahili speaker, Janeth is based out of Raleigh, NC.
Ashir is a computer scientist specializing in machine learning at Dickinson College. He has experience in building neural networks and web-development, and is a native Hindi speaker.
Stephen is passionate about language scholarship and policy across Africa. Previously, Stephen has worked and studied in North, West, and Southern Africa. He speaks French, Spanish, Wolof, Modern Standard Arabic, and is proficient in isiZulu and Portuguese. He is based in Cape Town.
lisa braden-harder | Harvard University; Appen Linguistic Data, founding CEO
johan wikman | Appen Linguistic Data, CTO
robert on | UC Berkeley; Google
janet cahn | AT&T, Senior Voice User Interface Designer; MIT Media Lab