Shaip is now part of the Ubiquity ecosystem: Same team - now backed by expanded resources to support customers at scale.
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Multilingual speech data collection, transcription, annotation, and licensing—tailored to your use case.
Empowering teams to build world-leading AI products.
Train higher-accuracy chatbots, voicebots, and digital assistants with multilingual speech data collected, transcribed, and annotated for real-world performance.
Speech data in 70+ languages—sourced, transcribed, and annotated.
Off-the-shelf licensing or custom data programs tailored to your intents, utterances, and demographics.
Delivered through a workforce of 50k+ collaborators with quality and turnaround commitments.
Choose only what you need—from collection to evaluation—or combine services for a complete data pipeline.
Collect scripted and natural speech across languages, accents, and environments—remote or onsite.
Accurate speech-to-text with optional timestamps and speaker labels to support ASR and conversational AI training.
Translate and localize audio transcripts to match regional language, tone, and cultural context.
Label audio and transcripts with intents, entities, and other tags to train and fine-tune AI models.
Test and review model outputs to measure quality and find gaps before production.
Run quality checks across collection, transcription, & labeling to ensure accuracy, consistency, & acceptance-ready delivery.
Jump-start your conversational AI with ready-to-use speech datasets for ASR, voice assistants, and chatbots. Choose from 70k+ hours of audio across 70+ languages, built to reflect real accents, speaking styles, and use cases.
What you can get includes: Call-center conversations, general conversations, wake words/keyphrases, TTS, IVR, podcasts, and more.
Datasets are delivered in standard formats with metadata for easy workflow integration, with flexible licensing options.
From chatbots to contact centers, train models that understand intent, handle real conversations, and scale across languages.
Improve intent recognition and reduce fallback responses.
Train call flows on real conversational phrasing and variability.
Better real-time suggestions and faster resolution from accurate speech understanding.
Structure conversations for topic, intent, and outcome insights.
Increase responsiveness and reduce false triggers in the wild.
Boost accuracy using labeled audio, transcripts, and diverse speakers.
Support natural voice experiences with curated speech assets.
Launch in new regions with language and dialect coverage at scale.
Collect prompt-based speech for specific intents, phrases, and keywords.
Capture natural, unscripted speech to reflect real-world speaking patterns.
Split multi-speaker audio into clear speaker turns for cleaner transcripts.
Detect and remove sensitive info from speech and transcripts for privacy.
Designed to meet enterprise expectations for quality, governance, and delivery.
Speech data in 70+ languages & dialects—built to help conversational AI work across regions and accents.
A global workforce of 50k+ collaborators to scale collection, transcription, and annotation with consistency.
Capture audio that reflects real usage—different speaking styles, devices, and environments—so models perform beyond lab conditions.
10+ years supporting Fortune 500 programs, with de-identified data aligned to GDPR and HIPAA expectations.
Mobile and web-based collection, backed by efficient workflows, helps you ship consistent data quickly across regions—even when deadlines are tight.
Custom programs tailored to your needs—intents, utterances, demographics, and data specs—ready for training and fine-tuning.
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.
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
Explore a wide range of accents, languages, and styles for your speech datasets.
The chatbot runs on an advanced conversational AI system built using large speech recognition datasets.
Automatic Speech Recognition (ASR) has existed for a long time, but gained prominence with smartphone apps like Siri & Alexa.
Audio annotation is the process of labeling audio with metadata and notes to make it usable for AI and ML systems.
Contact us now to learn how we can collect a custom data set for your unique AI solution.
Conversational AI uses technologies like chatbots and virtual assistants to simulate human conversations through natural language processing (NLP) and machine learning (ML).
It processes text or speech using Automatic Speech Recognition (ASR), analyzes intent with NLP, generates responses, and improves over time using ML.
It offers 24/7 customer support, automates tasks, reduces response times, cuts costs, and personalizes customer interactions.
It is used in customer support, voice assistants, healthcare for note-taking, retail for product assistance, and mobile apps for voice integration.
Yes, datasets can be tailored to specific languages, dialects, intents, and demographics.
Yes, Shaip offers multilingual datasets in over 150 languages and dialects.
All data is de-identified and compliant with global privacy standards like GDPR and HIPAA.
Costs depend on dataset type, volume, and customization. Contact Shaip for a quote.
Delivery timelines vary based on project scope but are designed to meet agreed deadlines.
Shaip offers high-quality, customizable, multilingual datasets with a focus on privacy, scalability, and compliance.
