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Home


People are getting connected.

You need to speak their language.

We crowdsource natural language processing
for African and Asian languages.

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Home


People are getting connected.

You need to speak their language.

We crowdsource natural language processing
for African and Asian languages.

Celtel_shop_uganda.jpg

About


What we do:

Uliza provides human-assisted natural language processing
for organizations that speak their people's language.

We transcribe, translate, and answer questions in local languages,
and can turn-around tasks in as quick as 5-minutes.

We are using the work of the crowd and machine learning tools
to build automated natural language processing in local languages.

 

If we interest you:

We will release our public website for accessing these services
in January 2018.

In the meantime contact us on info@uliza.org for custom solutions.

About


What we do:

Uliza provides human-assisted natural language processing
for organizations that speak their people's language.

We transcribe, translate, and answer questions in local languages,
and can turn-around tasks in as quick as 5-minutes.

We are using the work of the crowd and machine learning tools
to build automated natural language processing in local languages.

 

If we interest you:

We will release our public website for accessing these services
in January 2018.

In the meantime contact us on info@uliza.org for custom solutions.

Sam on phone - reversed.png

News


NEWS:

November 2017: Uliza gets it's first external seed investment

September 2017: We transcribed 21 audio hours of Kiswahili in a week!

September 2017: Welcome Ashir! Our first Machine Leaning Developer.

June 2017: Uliza launches an IVR platform for Refunite in Kenya and the DRC

June 2017: Uliza launches an IVR platform for Sauti Africa in Kenya

May 2017: Uliza is working with The Busara Center for Behavorial Economics in Ghana

19-21 April 2017: Uliza NYC investors roadshow

31 December 2016: Finalists in the InnovateAFRICA $100K competition

4 October 2016: Uliza is a registered LLC in Delaware

16 September 2016: The pilot was a success! We served 600 users and over 1,400 questions from all over Kenya.

6 July 2016: Uliza builds and pilots a prototype in western Kenya, in Kiswahili!

4 May 2016: Uliza is selected to the semi-finals of Mass Challenge, Boston

7 April 2016: Uliza wins runner-up prize at the Tufts $100K Competition

12 March 2016: Uliza is selected for the Boston finals of The Hult Prize

27 February 2016: Uliza is showcased at the HBS Africa Business Conference

28 October 2015: Uliza is a finalist at the MIT $100K Pitch Competition

News


NEWS:

November 2017: Uliza gets it's first external seed investment

September 2017: We transcribed 21 audio hours of Kiswahili in a week!

September 2017: Welcome Ashir! Our first Machine Leaning Developer.

June 2017: Uliza launches an IVR platform for Refunite in Kenya and the DRC

June 2017: Uliza launches an IVR platform for Sauti Africa in Kenya

May 2017: Uliza is working with The Busara Center for Behavorial Economics in Ghana

19-21 April 2017: Uliza NYC investors roadshow

31 December 2016: Finalists in the InnovateAFRICA $100K competition

4 October 2016: Uliza is a registered LLC in Delaware

16 September 2016: The pilot was a success! We served 600 users and over 1,400 questions from all over Kenya.

6 July 2016: Uliza builds and pilots a prototype in western Kenya, in Kiswahili!

4 May 2016: Uliza is selected to the semi-finals of Mass Challenge, Boston

7 April 2016: Uliza wins runner-up prize at the Tufts $100K Competition

12 March 2016: Uliza is selected for the Boston finals of The Hult Prize

27 February 2016: Uliza is showcased at the HBS Africa Business Conference

28 October 2015: Uliza is a finalist at the MIT $100K Pitch Competition

IMG_1247.JPG

Team


Uliza's team has backgrounds in behavioral economics, finance, software development, and linguistic data.

 

Grant Bridgman, CEO

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.


Abhishek Maity, CFO

Maity has a background in mathematics and finance. He has worked as a management consultant in the US, an economics teacher in India, and in startups in Lebanon and the US. Maity is a scrupulous data wizard.  Maity is based out of Washington DC.


Janeth Jepkogei, CTO

Janeth is a computer scientist specializing in natural language processing and has worked as a technology analyst for Deutsche Bank. Janeth is a native Kiswahili speaker.  Janeth is based out of Raleigh, NC.

 

Ashir Borah, Machine Learning Developer

Ashir is a computer scientist specializing in machine learning at Dickinson College.  Ashir has experience in building neural networks, web-development, and is a native Hindi speaker.

 

 

Our Advisers:

Lisa Braden-Harder: Harvard University; Appen Linguistic Data, founding CEO

Johan Wikman: Appen Liguistic Data, CTO

Robert On: UC Berkeley; Google

Janet Cahn: AT&T, Senior Voice User Interface Designer; MIT Media Lab

Team


Uliza's team has backgrounds in behavioral economics, finance, software development, and linguistic data.

 

Grant Bridgman, CEO

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.


Abhishek Maity, CFO

Maity has a background in mathematics and finance. He has worked as a management consultant in the US, an economics teacher in India, and in startups in Lebanon and the US. Maity is a scrupulous data wizard.  Maity is based out of Washington DC.


Janeth Jepkogei, CTO

Janeth is a computer scientist specializing in natural language processing and has worked as a technology analyst for Deutsche Bank. Janeth is a native Kiswahili speaker.  Janeth is based out of Raleigh, NC.

 

Ashir Borah, Machine Learning Developer

Ashir is a computer scientist specializing in machine learning at Dickinson College.  Ashir has experience in building neural networks, web-development, and is a native Hindi speaker.

 

 

Our Advisers:

Lisa Braden-Harder: Harvard University; Appen Linguistic Data, founding CEO

Johan Wikman: Appen Liguistic Data, CTO

Robert On: UC Berkeley; Google

Janet Cahn: AT&T, Senior Voice User Interface Designer; MIT Media Lab

Oct28th2015_100kpitch_Kubica (60 of 155).jpg

Pitch


Watch Uliza's MIT $100K Competition Pitch here

Pitch


Watch Uliza's MIT $100K Competition Pitch here

Contact


Contact


info@uliza.org