3 years ago

NeuralSpace Secures £2.4 Million Seed Funding for Multi-Language Speech-to-Text Platform

  • London-based AI startup, NeuralSpace, has raised £2.4 million ($2.8 million) in a seed funding round to support its multi-language speech-to-text platform

  • The round was co-led by Merus Capital and GoHub, with participation from APX, Techstars, and Verissimo

  • The funding will be used to develop language mixing models for languages such as Arabic-English, Chinese-English, and Hindi-English

  • NeuralSpace's platform aims to address the challenge of training accurate deep learning models for languages with limited data.

      • ProblemTechnology

      "Training accurate deep learning models for speech recognition in languages other than English is difficult due to the limited availability of data."

      Solution

      "NeuralSpace develops multi-language speech-to-text models that can accurately recognize and transcribe speech in various languages, including those with limited data availability."

      Covered on