Conversational AI Solutions

Now AI not only listens, it talks back.

Collect, Annotate, and Transcribe hours of audio data in multiple languages to train virtual / digital assistants.

Conversational Ai

Featured Clients

Empowering teams to build world-leading AI products.

Amazon
Google
Microsoft
Cogknit
There’s an increasing demand for AI-powered customer support services. And the demand for quality data has also increased.

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.

Healthcare:

According to a study, by 2026, chatbots could help the U.S. healthcare economy save approximately $150 billion annually.

Insurance:

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? 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 that understands intent, maintains context, and automates simple tasks across many languages. 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

Scripted Speech Collection

Spontaneous Speech collection

Utterance Collection/ Wake-up Words

Automated Speech Recognition (ASR)

Transcreation

Text-to-speech (TTS)

A World Leader in Multilingual Conversational Data Solutions

Hours of audio data in 150+ languages – Sourced, Transcribed & Annotated

Off-the-shelf Speech Data Licensing​

40k+ hours of Speech Data in over 50+ languages & dialects from 55+ industry domains like BFSI, Retail, Telecom, etc.

Speech Data
Collection​

Collect custom audio and speech data (Wake-up words, Utterances, Multi-speaker conversation, Call Center conversation, IVR data) in 150+ languages

Speech Data
Transcription

Cost effective audio transcription / audio annotation through a strong workforce of 30,000 collaborators with guaranteed TAT, accuracy, and savings

Language Datasets: Collected, Transcribed & Annotated

View Full Catalogue

Success Stories

Trains Voice Assistants in 40+ Languages for Global Reach

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.

Conversational Ai

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.

Text Utterance Collection

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
Data Collection For Conversational Ai

Conversational AI Use Case

Office Automation

Personal assistants taking dictation, transcribing meetings & emailing notes to participants, book meeting room, etc.

Retail

In-store shopping support for customers to locate products provides information such as price, product availability, etc.

Hospitality

Concierge services at hotels to enable check-in or for other information & services

Customer Support

Automate customer calls & enable outgoing calls to customers

Mobile Apps

Integration of voice into mobile apps to provide 'Voice + Visuals', reduce clicks & page visits and eventually better experience

Healthcare

Support surgeons in operating rooms by taking notes, maintaining & fetching patient's clinical data

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.

Scale

We can source, scale, and deliver audio data from across the world in multiple languages and dialects based on your requirements.

Expertise

We have the right expertise concerning accurate and unbiased data collection, transcription, and gold-standard annotation.

Network

A network of 30,000+ qualified contributors, who can be quickly assigned data collection tasks to build AI training model & scale-up services.

Technology

We have a fully AI-based platform with proprietary tools & processes to leverage the workflow management 24*7 round the clock.

Agility

We adapt to changes in customer requirements quickly & help in accelerating AI development with quality speech data 5-10x faster than competition.

Security

We give utmost importance to data security and privacy and are also certified to handle highly regulated sensitive data.

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

Human-Bot Conversations

1 hour of audio conversation & transcribed json files

Conversational AI Dataset

1 hour of audio conversation & transcribed JSON files.

Success Stories

We have worked with the world’s leading brands to build their advanced conversational AI solutions to enhance customer service

Chatbot Conversationa Ai

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 Training

3,000+ linguists provided 1,000+ hours of audio / transcripts in 27 native languages

Utterance Data Collection

20,000+ hours of utterances collected from across the globe in 27+ languages

Insurance Chatbot Training

Created 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.

Our Expertise

0 +
Hours of Speech Collected
0
Team of Voice Data Collectors
0 %
PII Compliant
0 +
Cool Number
> 0 %
Data Acceptance & Accuracy
0 +
Fortune 500 Clientele
Smartphone In Hand

Want to build your own data set?

Contact us now to learn how we can collect a custom data set for your unique AI solution.

  • By registering, I agree with Shaip Privacy Policy and Terms of Service and provide my consent to receive B2B marketing communication from Shaip.

Conversational artificial intelligence (AI) powers interactions between humans and machines, simulating human conversation with remarkable accuracy. Utilizing vast data sets, machine learning (ML), and natural language processing (NLP), conversational AI can mimic human interactions, recognizing and interpreting speech and text inputs and even translating meanings across languages. This technology is the backbone of chatbots, virtual assistants, and other interactive applications that facilitate human-like conversations. 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).

Conversational AI blends NLP with ML in a synergistic manner. NLP processes are integrated into a continuous feedback loop with ML processes, enhancing the AI algorithms. This enables it to understand, process, and respond to human language in a natural and intuitive way.

NLP involves four critical steps:

  • Input Generation: Users interact with the AI through voice or text inputs via websites or apps.
  • Input Analysis: The AI employs natural language understanding (NLU) for text inputs or a combination of automatic speech recognition (ASR) and NLU for voice inputs to comprehend and interpret the data.
  • Dialogue Management: Natural Language Generation (NLG), a facet of NLP, crafts the AI’s response.
  • Reinforcement Learning: ML algorithms refine the AI’s responses over time, enhancing accuracy and relevance.

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.

It significantly reduce costs and increase operational efficiency by automating tasks that were traditionally handled by humans. It not only minimizes human errors but also boosts productivity. It also improves customer experiences by offering personalized, engaging interactions around the clock 24*7, leading to higher customer satisfaction and engagement.

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, answering queries and providing support
  • 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.
  • Virtual Assistants: Voice-activated assistants available on mobile devices and smart speakers.
  • Text-to-Speech Software: Creating audiobooks or spoken directions.