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Case Study
Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 27 languages.
Case Study
Named Entity Recognition (NER) Annotation for Clinical NLP
Well-Annotated and Gold Standard clinical text data to train/develop clinical NLP to build next version of Healthcare API.
Case Study
Image Collection & Annotation to enhance Image Recognition
High-quality image data sourced and annotated to train image recognition models for new smartphone series.
Conversational AI in Automobiles: Bridging Human Intent with Machine Intelligence
The automotive industry is at the forefront of a technological revolution, redefining how we drive, interact, and connect with our vehicles. At the heart of
Multimodal AI: The Complete Guide to Training Data and Business Applications
Multimodal AI: The Complete Guide to Training Data and Business Applications Table of Contents Download eBook Get My Copy The future of artificial intelligence isn’t
Conversational AI Challenges and Solutions: From Data Bias to Multilingual Datasets
In today’s fast-paced, tech-driven world, Conversational AI applications like Alexa, Siri, and Google Home have become indispensable in our daily lives. They simplify tasks, provide
AI Models & Ethical Data: Building Trust in Machine Learning
In the rapidly evolving landscape of artificial intelligence, one fundamental truth remains constant: the quality and ethics of your training data directly determine the trustworthiness
How to Choose the Perfect AI Data Collection Company for Your Business Needs
Artificial Intelligence (AI) and Machine Learning (ML) have become the backbone of modern businesses. From streamlining backend operations and automating workflows to creating personalized user
The Hidden Dangers of Open-Source Data: It’s Time to Rethink Your AI Training Strategy
In the rapidly evolving landscape of artificial intelligence (AI), the allure of open-source data is undeniable. Its accessibility and cost-effectiveness make it an attractive option
22 Free and Open Healthcare Datasets for Machine Learning and AI Development in 2025
In today’s world, healthcare is increasingly powered by machine learning (ML). From predicting diseases to enhancing diagnostics, ML is transforming healthcare outcomes. However, every ML
How End-to-End Training Data Service Providers Transform Your AI Projects
In the rapidly evolving world of Artificial Intelligence (AI), training data is the foundation on which all innovations are built. Without high-quality, well-structured datasets, even
Human-in-the-Loop: How Human Expertise Enhances Generative AI
Generative AI has revolutionized content creation, data analysis, and decision-making processes. However, without human oversight, these systems can produce errors, biases, or unethical outcomes. Enter
How to Improve AI Data Quality & Maximize Model Accuracy
Artificial Intelligence (AI) has evolved from a futuristic concept into an integral part of modern life, powering innovations across industries. However, the foundation of every
What an AI Training Data Collection Partner Does for AI: Accuracy, Fairness & Compliance
In the context of artificial intelligence (AI), information is the building block used for training and operating models. The diversity, quality, and pertinence of data
Grounding AI: Towards Intelligent, Stable Language Models
Introduction to Grounding in Artificial Intelligence In the fast-changing landscape of artificial intelligence, Large Language Models (LLMs) have become powerful tools that generate human-like text.
Data Annotation Techniques For The Most Common AI Use Cases In Healthcare
The role of data annotation in healthcare AI is pivotal. High-quality data labeling and annotation directly impact the accuracy of AI training data and the
Data Annotation Done Right: A Guide to Accuracy and Vendor Selection
A robust AI-based solution is built on data – not just any data but high-quality, accurately annotated data. Only the best and most refined data
Ambient Scribes in Healthcare: Rising with AI
Transforming Clinical Documentation Through Intelligent, AI-Powered Scribe Technology! The medical and healthcare industry is rapidly embracing digital transformation, with artificial intelligence at its forefront. One
Conversational AI Data Collection and Best Practices for Business Growth
Conversational AI, powered by advanced technologies like natural language processing (NLP) and machine learning (ML), has revolutionized how businesses interact with customers. From chatbots and
De-identification in Healthcare: Meeting HIPAA Standards in 2025
In today’s digital-first healthcare landscape, protecting sensitive patient information is no longer just a regulatory requirement—it’s a moral obligation. With healthcare data becoming the backbone
Large Language Models In Healthcare: Breakthroughs & Challenges
Why do we – as a human civilization – need to nurture scientific competencies and foster R&D-driven innovation? Can’t conventional techniques and approaches be followed
Transforming Healthcare with Generative AI: Key Benefits & Applications
The healthcare industry has always been at the forefront of technological innovation, from the invention of pacemakers and X-rays to the adoption of electronic health
How Speech-to-Text Transforms Medical Transcription
AI-Powered Speech-to-Text is Redefining Healthcare Documentation with Real-Time Accuracy and Automation. Medical transcription has evolved significantly—from handwritten notes to automated, voice-enabled documentation. The implementation of
How Human-in-the-Loop Systems Enhance AI Accuracy, Fairness, and Trust
Artificial Intelligence (AI) continues to transform industries with its speed, relevance, and accuracy. However, despite impressive capabilities, AI systems often face a critical challenge known
Project Vaani: Shaip’s Role in Shaping Multilingual AI for India
In a country as culturally diverse and linguistically rich as India, building inclusive AI begins with collecting representative, high-quality datasets. That’s the vision behind Project
AI-Powered Telemedicine: Use Cases, Benefits, and Real-World Challenges
We are no longer living in the era where we had to visit doctors for basic checkups and continuous monitoring, all thanks to AI. While
Golden Datasets: The Foundation of Reliable AI Systems
The golden datasets in AI refer to the purest and highest quality datasets that you can get to train your AI system. Being the highest
What is Voice Recognition: Why You Need it, Use Cases, Examples & Advantages
Market Size: In less than 20 years, voice recognition technology has grown phenomenally. But what does the future hold? In 2020, the global voice recognition technology
The Importance of Doctor-Patient Conversations in Healthcare
We know that proper communication between a doctor and a patient can reduce diagnosis delays by 30% and improve treatment adherence rates by up to
6 Key Strategies to Simplify AI Data Collection and Optimize Model Performance
The evolving AI market presents tremendous opportunities for businesses eager to develop AI-powered applications. However, building successful AI models requires complex algorithms trained on high-quality
What is AI Image Recognition? How It Works & Examples
Human beings have the innate ability to distinguish and precisely identify objects, people, animals, and places from photographs. However, computers don’t come with the capability
What is Synthetic Data in AI? Benefits, Use Cases, Challenges, and Applications
In the evolving world of artificial intelligence (AI) and machine learning (ML), data serves as the fuel powering innovation. However, acquiring high-quality, real-world data can
What is Named Entity Recognition (NER) – Example, Use Cases, Benefits & Challenges
Every time we hear a word or read a text, we have the natural ability to identify and categorize the word into people, place, location,
Training data to build multi-lingual Conversational AI
High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 40 languages.
Utterance data collection to build multi-lingual digital assistant
Delivered 7M+ Utterances with over 22k hours of audio data to build Multi-lingual digital assistants in 13 languages.
30K+ docs web scrapped & annotated for Content Moderation
To build automated content moderation ML Model bifurcated into Toxic, Mature, or Sexually Explicit categories
Collect, Segment & Transcribe audio data in 8 Indian Languages
Over 3k hours of Audio Data Collected, Segmented & Transcribed to build Multi-lingual Speech Tech in 8 Indian languages.
Key Phrase Collection for in-car voice-activated systems
200k+ key phrases/brand prompts collected in 12 global languages from 2800 speakers in stipulated time.
Over 8k Audio hours Automatic
Speech Recognition
To assist the client with their Speech Technology speech roadmap for Indian languages.
Image Collection & Annotation to enhance Image Recognition
High-quality image data sourced and annotated to train image recognition models for new smartphone series.
AI4 Conference: Solving the Computer Vision Data Collection Issues
All the major AI solutions that are out there are all products of a crucial process we call data collection or data sourcing or AI training data. Our CRO, Mr. Hardik Parikh gave a keynote session on “Solving the Computer Vision Data Collection Issues” at the recently concluded Event Ai4 2022 in Las Vegas on August 17.
Future of Voice Technology – Challenges & Opportunities
Voice Technology has the power to revolutionize how we communicate. This webinar is aimed to educate the participant on ‘How voice tech can be utilized in any domain’ and how various Conversational AI use cases are used to enrich end-user experience.
Data transforming Healthcare
Artificial intelligence (AI) has the potential to transform how healthcare is delivered. This webinar is aimed to educate the participant on ‘How data can be utilized in the domain of healthcare’ using case studies & about the training data sets and data processing.
Buyer’s Guide
Buyer’s Guide: Data Annotation / Labeling
So, you want to start a new AI/ML initiative and are realizing that finding good data will be one of the more challenging aspects of your operation. The output of your AI/ML model is only as good as the data you use to train it – so the expertise you apply to data aggregation, annotation, and labeling is of critical importance.
Buyer’s Guide: High-quality AI Training Data
In the world of artificial intelligence and machine learning, data training is inevitable. This is the process that makes machine learning modules accurate, efficient, and fully functional. The guide explores in detail what AI training data is, types of training data, training data quality, data collection & licensing, and more.
Buyer’s Guide: Complete Guide to Conversational AI
The chatbot you conversed with runs on an advanced conversational AI system that is trained, tested, and built using tons of speech recognition datasets. It is the fundamental process behind the technology that makes machines intelligent and this is exactly what we are about to discuss and explore.
Buyer’s Guide: AI Data Collection
Machines don’t have a mind of their own. They are devoid of opinions, facts, and capabilities such as reasoning, cognition, and more. To turn them into powerful mediums, you need algorithms that are developed based on data. Data that is relevant, contextual, and recent. The process of collecting such data for machines is called AI data collection.
Buyer’s Guide: Video Annotation and Labeling
It is a fairly common saying we’ve all heard. that a picture could say a thousand words, just imagine what a video could be saying? A million things, perhaps. None of the ground-breaking applications we’ve been promised, such as driverless cars or intelligent retail check-outs, is possible without video annotation.
Buyer’s Guide: Image Annotation for CV
Computer vision is all about making sense of the visual world to train computer vision applications. Its success completely boils down to what we call image annotation – the fundamental process behind the technology that makes machines make intelligent decisions and this is exactly what we are about to discuss and explore.
Buyer’s Guide: Large Language Models LLM
Ever scratched your head, amazed at how Google or Alexa seemed to ‘get’ you? Or have you found yourself reading a computer-generated essay that sounds eerily human? You’re not alone. It’s time to pull back the curtain and reveal the secret: Large Language Models, or LLMs.
eBook
The Key to Overcoming AI Development Obstacles
There is indeed an incredible amount of data being generated every day: 2.5 quintillion bytes, according to Social Media Today. But that doesn’t mean it’s all worthy of training your algorithm. Some data is incomplete, some is low-quality, and some is just plain inaccurate, so using any of this faulty information will result in the same traits out of your (expensive) AI data innovation.
Conversational AI in Automobiles: Bridging Human Intent with Machine Intelligence
The automotive industry is at the forefront of a technological revolution, redefining how we drive, interact, and connect with our vehicles. At the heart of
Multimodal AI: The Complete Guide to Training Data and Business Applications
Multimodal AI: The Complete Guide to Training Data and Business Applications Table of Contents Download eBook Get My Copy The future of artificial intelligence isn’t
Conversational AI Challenges and Solutions: From Data Bias to Multilingual Datasets
In today’s fast-paced, tech-driven world, Conversational AI applications like Alexa, Siri, and Google Home have become indispensable in our daily lives. They simplify tasks, provide
AI Models & Ethical Data: Building Trust in Machine Learning
In the rapidly evolving landscape of artificial intelligence, one fundamental truth remains constant: the quality and ethics of your training data directly determine the trustworthiness
How to Choose the Perfect AI Data Collection Company for Your Business Needs
Artificial Intelligence (AI) and Machine Learning (ML) have become the backbone of modern businesses. From streamlining backend operations and automating workflows to creating personalized user
The Hidden Dangers of Open-Source Data: It’s Time to Rethink Your AI Training Strategy
In the rapidly evolving landscape of artificial intelligence (AI), the allure of open-source data is undeniable. Its accessibility and cost-effectiveness make it an attractive option
22 Free and Open Healthcare Datasets for Machine Learning and AI Development in 2025
In today’s world, healthcare is increasingly powered by machine learning (ML). From predicting diseases to enhancing diagnostics, ML is transforming healthcare outcomes. However, every ML
How End-to-End Training Data Service Providers Transform Your AI Projects
In the rapidly evolving world of Artificial Intelligence (AI), training data is the foundation on which all innovations are built. Without high-quality, well-structured datasets, even
Human-in-the-Loop: How Human Expertise Enhances Generative AI
Generative AI has revolutionized content creation, data analysis, and decision-making processes. However, without human oversight, these systems can produce errors, biases, or unethical outcomes. Enter
How to Improve AI Data Quality & Maximize Model Accuracy
Artificial Intelligence (AI) has evolved from a futuristic concept into an integral part of modern life, powering innovations across industries. However, the foundation of every
What an AI Training Data Collection Partner Does for AI: Accuracy, Fairness & Compliance
In the context of artificial intelligence (AI), information is the building block used for training and operating models. The diversity, quality, and pertinence of data
Grounding AI: Towards Intelligent, Stable Language Models
Introduction to Grounding in Artificial Intelligence In the fast-changing landscape of artificial intelligence, Large Language Models (LLMs) have become powerful tools that generate human-like text.
Data Annotation Techniques For The Most Common AI Use Cases In Healthcare
The role of data annotation in healthcare AI is pivotal. High-quality data labeling and annotation directly impact the accuracy of AI training data and the
Data Annotation Done Right: A Guide to Accuracy and Vendor Selection
A robust AI-based solution is built on data – not just any data but high-quality, accurately annotated data. Only the best and most refined data
Ambient Scribes in Healthcare: Rising with AI
Transforming Clinical Documentation Through Intelligent, AI-Powered Scribe Technology! The medical and healthcare industry is rapidly embracing digital transformation, with artificial intelligence at its forefront. One
Conversational AI Data Collection and Best Practices for Business Growth
Conversational AI, powered by advanced technologies like natural language processing (NLP) and machine learning (ML), has revolutionized how businesses interact with customers. From chatbots and
De-identification in Healthcare: Meeting HIPAA Standards in 2025
In today’s digital-first healthcare landscape, protecting sensitive patient information is no longer just a regulatory requirement—it’s a moral obligation. With healthcare data becoming the backbone
Large Language Models In Healthcare: Breakthroughs & Challenges
Why do we – as a human civilization – need to nurture scientific competencies and foster R&D-driven innovation? Can’t conventional techniques and approaches be followed
Transforming Healthcare with Generative AI: Key Benefits & Applications
The healthcare industry has always been at the forefront of technological innovation, from the invention of pacemakers and X-rays to the adoption of electronic health
How Speech-to-Text Transforms Medical Transcription
AI-Powered Speech-to-Text is Redefining Healthcare Documentation with Real-Time Accuracy and Automation. Medical transcription has evolved significantly—from handwritten notes to automated, voice-enabled documentation. The implementation of
How Human-in-the-Loop Systems Enhance AI Accuracy, Fairness, and Trust
Artificial Intelligence (AI) continues to transform industries with its speed, relevance, and accuracy. However, despite impressive capabilities, AI systems often face a critical challenge known
Project Vaani: Shaip’s Role in Shaping Multilingual AI for India
In a country as culturally diverse and linguistically rich as India, building inclusive AI begins with collecting representative, high-quality datasets. That’s the vision behind Project
AI-Powered Telemedicine: Use Cases, Benefits, and Real-World Challenges
We are no longer living in the era where we had to visit doctors for basic checkups and continuous monitoring, all thanks to AI. While
Golden Datasets: The Foundation of Reliable AI Systems
The golden datasets in AI refer to the purest and highest quality datasets that you can get to train your AI system. Being the highest
What is Voice Recognition: Why You Need it, Use Cases, Examples & Advantages
Market Size: In less than 20 years, voice recognition technology has grown phenomenally. But what does the future hold? In 2020, the global voice recognition technology
The Importance of Doctor-Patient Conversations in Healthcare
We know that proper communication between a doctor and a patient can reduce diagnosis delays by 30% and improve treatment adherence rates by up to
6 Key Strategies to Simplify AI Data Collection and Optimize Model Performance
The evolving AI market presents tremendous opportunities for businesses eager to develop AI-powered applications. However, building successful AI models requires complex algorithms trained on high-quality
What is AI Image Recognition? How It Works & Examples
Human beings have the innate ability to distinguish and precisely identify objects, people, animals, and places from photographs. However, computers don’t come with the capability
What is Synthetic Data in AI? Benefits, Use Cases, Challenges, and Applications
In the evolving world of artificial intelligence (AI) and machine learning (ML), data serves as the fuel powering innovation. However, acquiring high-quality, real-world data can
What is Named Entity Recognition (NER) – Example, Use Cases, Benefits & Challenges
Every time we hear a word or read a text, we have the natural ability to identify and categorize the word into people, place, location,
What is NLP? How it Works, Benefits, Challenges, Examples
Discover our NLP infographic: Learn how it works, explore benefits, challenges, market growth, use cases, and future trends in Natural Language Processing.
OCR (Optical Character Recognition) – Definition, Benefits, Challenges, and Use Cases [Infographic]
OCR is a technology that allows machines to read printed text & images. It is often used in business applications, such as digitizing documents for storage or processing, & in consumer applications, such as scanning a receipt for expense reimbursement.
What is Data Collection? Everything a Beginner Needs to Know
Intelligent #AI/ #ML models are everywhere, be it, Predictive healthcare models, proactive diagnosis,
What is Data Labeling? Everything a Beginner Needs to Know
Download Infographics Intelligent AI models need to be trained extensively for being able to identify patterns, objects, and eventually make
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