Neuphonic

Low-latency Text-To-Speech for voice AI

Neuphonic logo
1-20 employees
  • B2C
  • B2B
  • Artificial Intelligence
  • Deep Tech
  • Machine Learning
  • SaaS
  • Product
Westminster, London, UK

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Company mission

To revolutionise AI interaction by redefining what it means to have a voice.

Our take

Some of the major hurdles for Voice AI include response time, the enormity of the language models, contextual understanding and speech recognition, all challenges that Neuphonics is tackling with its low-latency, hallucination-free AI models. The Neuphonics Voice AI model offers scalable solutions that aim to feel intuitive and effortless.

Whilst it’s a crowded market for voice AI tech, Neuphonics aims to buck the clunky, slow-responding trend by generating speech as the words are inputted, potentially providing more seamless experiences in customer service. Another key selling point is its adaptability for different use cases, offering a library of dialects, accents and languages so that its customers can reach more audiences. This latter point is integral to the company, its multilingual, first-gen immigrant founders met at Cambridge University whilst studying machine learning and experienced language barriers first-hand.

With seed funding awarded in 2024 in a round led by the influential Moonfire Ventures, Neuphonics will R&D its solutions and expand its capabilities. Its seamless performance and product scalability make it an interesting company to watch.

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Steph

Company Specialist at Welcome to the Jungle

Leadership

Sohaib Ahmad

(Co-Founder & CEO)

Previously a Quantitative Researcher at Florin Court Capital, Quantitative Analyst at LMR Partners, Equity Derivative Structuring at Deutsche Bank and was a Sales and Trading Intern at Lloyds Banking Group.

Jiameng Gao

(Co-Founder & CTO)

Previously Founder and Consultant at Sillwood Technologies, Co-Founder and CTO at Papercup, Fellow at Entrepreneur First and was a Machine Learning Engineer at Calipsa.