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Uplift AI

Foundational Voice Models for regional languages

We build Voice Models for regional languages (like Urdu, Bengali, Greek etc) and make them available through simple APIs and SDKs. Developers use us to create Voice-first digital experiences (eg. Voice eCommerce, Voice Banking, Voice AI Tutors etc). We gather our own data, develop our own labelling tools, train our own models, and design our own voice infra. This fully integrated approach enables us to offer the best models and the best developer experience for regional languages. --- People who would previously never use certain digital services (like online ordering), actually use the service when they are given an intuitive Voice based interface. We believe that Voice Interfaces will onboard 100s of millions of new users onto digital services; and double the addressable market for technology companies. Uplift AI will provide the best models to create these Voice Interfaces for 60% of the world's population that only speaks their regional language and represents 42 trillion dollars in GDP.
Active Founders
Hammad Malik
Hammad Malik
Founder
CEO at Uplift AI. Building Voice Models for regional languages. Previously developed voice technology at Apple Siri and Amazon Alexa for about 9 years. Cornell University alumni.
Zaid Qureshi
Zaid Qureshi
Founder
CTO at Uplift AI. Building Voice Models for regional languages. Previously: Designed AWS Bedrock Guardrails.
Company Launches
Urdu-speaking AI models — really really desi style
See original launch post

We have trained an AI model called Orator, that speaks Urdu with human-like realism. To the best of our knowledge, it is the first model that can speak Urdu in an authentic way: the way everyday people speak Urdu in everyday life.

We have voices from “the whole mohalla“ (entire neighborhood). From angry molvis and nosey aunties, to thailay walas, and burger boys.

You can experience the voices at UpliftAI.org. The website will allow you to experience dozens of voices in seconds by just clicking/hovering the circles.

uploaded image

Making the model

We have put our heart into this work, and enjoying it more than any work we have ever done in the past.

We started with the map of Pakistan and asked: how do people sound in every district. That gave us the accent list.

Then, we asked ourselves: what are all the unique characters we would interact with in a typical month as we go about our normal life. This gave us our character/persona list.

We then hired a leading voice producer and worked with him to hire voice actors and script writers, and then spent months doing voice recordings in studios in Karachi, Lahore, Quetta and Islamabad.

Once the voices were recorded, then we hired 50 contractors to label data.

The final and the simplest step was the model training. We trained a very small 32M param VITS2 inspired model.

The results are very encouraging.

- Here is someone creating a story book using our voices: https://shehryar-stories.up.railway.app/frontend/index.html

- Here is me just having fun with it: https://www.linkedin.com/posts/hammad2_is-your-mom-complaining-about-massi-leaving-ugcPost-7468570160233107457-sbQ5/

Ask

Hear from the founders

How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)

Hammad left Apple and took a year off to figure out what he wanted to do with the next decade of his career.
First month: finished netflix :)
Then he spent two months reviewing 20 years of voice tech research papers in chronological order… and somewhere in there realized that there is an opportunity to make amazing voice models for smaller languages — faster than big tech.

What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?

At the core, we are solving the problem of universal access to digital knowledge and digital services.

People who would previously never use certain digital services (like online ordering, or online health advice), actually use the service when they are given an intuitive Voice based interface — especially in emerging markets.

Voice Interfaces make it more natural and intuitive to use technology; and we believe it will onboard 100s of millions of new users onto digital services. This will make people more productive, and increase GDP per capita.

What is your long-term vision? If you truly succeed, what will be different about the world?

When we truly succeed, the world will access technology through our Voice Tech.

And the GDP per capita would increase around the world, as more people will be able to take full advantage of technology using intuitive voice interfaces.

Currently a large part of the world is unable to fully utilize technology coz text-interfaces are very confusing for many people.

Jobs at Uplift AI
San Francisco, CA, US
$150K - $250K
2.00% - 5.00%
Any (new grads ok)
Uplift AI
Founded:2024
Batch:Summer 2025
Team Size:3
Status:
Active
Location:San Francisco
Primary Partner:Brad Flora