“For instance, if the user says, ‘I want to book a table at 8 pm tonight’, our language understanding would recognise that the customer wants to make a reservation (intent) and also the time (8 pm) and date (today),” explains Felix. This helps create chatbots and voicebots that respond to the user in a more empathetic tone. Natural language understanding can also predict the user’s sentiment, which can help analyse user behaviour. Developers can either consume the content directly or customise it to get their own unique AI model that accurately solves their business problems.įor example, in conversational AI solutions, such as chatbots and voicebots, the ‘language understanding’ offering helps recognise the customer’s intent and extracts relevant information from what is said or written to perform a relevant action. The functionalities come pre-trained with some basic understanding of every language and can be used in many industries. It offers a suite of APIs for language AI models, with features such as entity recognition, language understanding, speech-to-text, text-to-speech, machine translation, and transliteration. The NeuralSpace platform consists of various language processing functionalities in more than 100 languages. We make sure that our models perform well in locally spoken languages such as Gujarati, Telugu, and Gulf Arabic before we even train them on English, French, and Spanish,” explains Felix. NeuralSpace is developing models with a local-languages-first approach. “The Googles, Microsofts, IBMs and AWSs of this world offer models in these languages too, but they are often inaccurate in many real-world use cases. Local languages and improved accuracy in real-world use cases are the focus areas of the platform, which has received a $2.8-million Seed investment from Techstars, a Colorado-based global investment business. So, the duo decided to build NeuralSpace, a software as a service (SaaS) platform that offers developers a web interface and a suite of APIs for text and voice NLP tasks (language AI models) in more than 100 languages. It has received a $2.8-million Seed investment from Techstars, a Colorado-based global investment businessĪ few years ago, Ayushmann Dash and Felix Laumann realised that existing natural language processing (NLP) models performed poorly in locally spoken languages and the translations of the models weren’t really accurate.Īlthough NLP models existed in German (Felix’s mother tongue) and Oriya (Ayushman’s mother tongue) in 2018-2019, they did not come across models that were based on latest deep learning advancements. How NeuralSpace helps developers build language AI models in Oriya, German, and many more local languages The software-as-a-service platform offers developers a suite of APIs for language AI models in more than 100 languages.
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