Conversational AI Solutions
Collect, Annotate, and Transcribe hours of audio data in multiple languages to train virtual / digital assistants.
Empowering teams to build world-leading AI products.
The lack of accuracy in conversational AI chatbots and virtual assistants is a major challenge that affects user experience in the conversational AI market. The solution? Data. Not just any data. But highly accurate and quality data that Shaip delivers to drive success for AI projects.
According to a study, by 2026, chatbots could help the U.S.
healthcare economy save approximately $150 billion
32% of consumers require
assistance in selecting an
insurance policy since the
online purchasing process can
be very difficult and confusing.
The global conversational AI market is expected to grow from USD 4.8 billion in 2020 to USD 13.9 billion by 2025, at a CAGR of 21.9% during the forecast period
Deep expertise in Conversational AI Solutions
Conversational Artificial Intelligence or Chatbots or Virtual Assistants are only as smart as the technology and data behind them. The lack of accuracy in chatbots / virtual assistants is a major challenge today. The solution? Data. Not just any data. But highly accurate and quality data that Shaip delivers to drive success for your AI projects.
At Shaip, we offer you a broad set of diversified audio dataset for Natural Language Processing (NLP) that mimic conversations with real people to bring your Artificial Intelligence (AI) to life. With our deep understanding of the Multilingual Conversational AI platform, we help you build AI-enabled speech models, with utmost precision with structured datasets in multiple languages from across the globe. We offer multi-lingual audio collection, audio transcription, and audio annotation services based on your requirement, while fully customizing desired intent, utterances, and demographic distribution
A World Leader in Multilingual Conversational Data Solutions
Hours of audio data in 150+ languages – Sourced, Transcribed & Annotated
Data that powers global conversations
Shaip provided digital assistant training in 40+ languages for a major cloud-based voice service provider used with voice assistants. They required a natural voice experience so users in different countries around the world would have intuitive, natural interactions with this technology.
Problem: Acquire 20,000+ hours of unbiased data across 40 languages
Solution: 3,000+ linguists delivered quality audio/ transcripts within 30 weeks
Result: Highly trained Digital assistant models that is able to understand multiple languages
Utterances to build Multi-lingual digital assistants
Not all customers use the same words while interacting with voice assistants. Voice applications must be trained on spontaneous speech data. E.g., “Where is the closest hospital located?” “Find a hospital near me” or “Is there a hospital nearby?” all indicate the same search intent but are phrased differently.
Problem: Acquire 22,250+ hours of unbiased data across 13 languages
Solution: 7M+ Audio Utterances collected, transcribed, and delivered within 28 weeks
Result: Highly trained speech recognition model that is able to understand multiple languages
Ready to start collecting Conversational AI Data? Tell us more. We can help your ML models with Multilingual Audio Collection & Annotation Services
Benefits of Conversational AI
- Enhance Customer Service
- Drive automated Sales
- Automate business processes
- Augment Agent Capabilities
- Reduce response time
- Personalize customer experience
Conversational AI Use Case
You’ve finally found the right Conversational AI Company
We offer AI training speech data in multiple native languages. We have over a decade of experience in sourcing, transcribing, and annotating customized, high-quality datasets for Fortune 500 companies.
Download Conversational AI / Chatbot Datasets
We offer different conversational AI datasets as below:
- Human-Bot Conversations
- Doctor-Patient Conversation Datasets
- Call Center Conversation Dataset
- Generic Conversations Dataset
- Media & Podcasts Dataset
- Utterances Datasets / Wake Word Datasets
1 hour of audio conversation & transcribed json files
Conversational AI Dataset
1 hour of audio conversation & transcribed JSON files.
We have worked with the world’s leading brands to build their advanced conversational AI solutions to enhance customer service
Chatbot Training Dataset
Generated Chatbot Dataset consisting of 10,000+ hours of audio conversation & transcription in multiple languages to build 24*7 live chatbot
Digital Assistant Training3,000+ linguists provided 1,000+ hours of audio / transcripts in 27 native languages
Utterance Data Collection20,000+ hours of utterances collected from across the globe in 27+ languages
Insurance Chatbot TrainingCreated 1000’s of conversations with an average of 6 turns per conversation
Automatic Speech Recognition (ASR)
Improved accuracy of automatic speech recognition using labeled audio data, transcription, pronunciation, lexicons from a diverse set of speakers.
Conversational artificial intelligence (AI) refers to technology that can be spoken to, such as chatbots or voice assistants. Examples of these are Amazon Alexa, Apple’s Siri, and Google Home.
Conversational AI understands, reacts, and learns from every encounter using a variety of technologies such as Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Machine Learning (ML).
The obstacles to the evolution of Conversational AI revolve around 1) Detecting human emotions 2) Learning new languages and dialects 3) Identifying the right voice in a crowded environment 4) Security and Privacy to hide sensitive personal info.
- Dedicated & loyal bot 24 * 7.
- A multilingual chatbot can serve a large audience from various parts of the world
- Chatbots are able to store every interaction, for future personalization
The customer experience can be improved by setting a digital/virtual assistant that automatically handles basic inbound queries. Physical agents can focus on more challenging tasks.
- Office Automation: Take dictation, transcribe meetings, email notes, etc.
- Customer Support: Automate customer calls
- Sales & Marketing: Real-time product info & dashboards
- Hospitality: Automated check-ins or for other information and services.
- Retail: In-store shopping support to locate items with price details & availability.
- Mobile Apps: Voice integration to reduce clicks & improve user experience.