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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.
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
Building Inclusive AI for India: Shaip’s Role in Project Vaani
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
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.
The Role of Multimodal Medical Datasets in Advancing AI Research
Did you know AI models that merge diverse medical data can enhance predictive accuracy for critical care outcomes by 12% or more over single-modality approaches?
AI in Healthcare: Understand the Benefits and Challenges
The market value of artificial intelligence in healthcare hit a new high in 2020 at $6.7bn. Experts in the field and tech veterans also reveal
The True Cost of AI Training Data: How to Budget Effectively for High-Quality Datasets
Developing Artificial Intelligence (AI) systems is a complex and resource-intensive process. From sourcing data to training models, the journey involves numerous challenges that can significantly
Off-the-Shelf AI Training Data: What It Is and How to Select the Right Vendor
Building AI and machine learning (ML) solutions often requires massive amounts of high-quality training datasets. However, creating these datasets from scratch demands significant time, effort,
Why Multilingual AI Text Data is Crucial for Training Advanced AI Models
The world is a vibrant tapestry of cultures and languages. While differences in geography, language, and ideologies exist, shared emotions connect us. To truly harness
In-House or Outsourced Data Annotation – Which Gives Better AI Results?
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced close to 2.5 quintillion data bytes
The Role of NLP in Insurance Fraud Detection and Prevention
We are witnessing an era in which AI is also being used by fraudsters. This makes it extremely difficult for users to detect suspicious activity.
The A To Z Of Data Annotation
What is Data Annotation [2025 Updated] – Best Practices, Tools, Benefits, Challenges, Types & more Need to know the Data Annotation basics? Read this complete
What is Anti-Spoofing and Its Techniques for Liveness Detection in Face Recognition?
Facial recognition has become a key pillar of present security systems in smartphone authentication, banking, and surveillance. However, with the increasing application of facial recognition,
Top NLP Trends to Look After in 2025
If you are active in the AI space, then you must be familiar with NLP, which stands for Natural Language Processing. NLP is changing how
What are the Top Multimodal AI Applications and Use Cases?
Multimodal AI brings together knowledge from varying resources like text, pictures, audio, and video, thus being able to provide richer and more thorough insights into
What is RAFT? RAG + Fine-Tuning
In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from
What are Large Multimodal Models (LMMs)?
Large Multimodal Models (LMMs) are a revolution in artificial intelligence (AI). Unlike traditional AI models that operate within a single data environment such as text,
19 Must-Have Free Face Recognition Datasets for Computer Vision Projects
Are you searching for high-quality Free Face Recognition Datasets to elevate your AI and machine learning projects? Look no further! We’ve compiled a list of
Optimizing RAG with Better Data and Prompts
RAG (Retrieval-Augmented Generation) is a recent way to enhance LLMs in a highly effective way, combining generative power and real-time data retrieval. RAG allows a
RAG vs. Fine-Tuning: Which One Suits Your LLM?
Large Language Models (LLMs) such as GPT-4 and Llama 3 have affected the AI landscape and performed wonders ranging from customer service to content generation.
What Are Multimodal Large Language Models? Applications, Challenges, and How They Work
Imagine you have an x-ray report and you need to understand what injuries you have. One option is you can visit a doctor which ideally
Everything About Conversational AI: How it’s works, Example, Benefits and Challenges [Infographic 2025]
Explore how Conversational AI is reshaping industries with personalized interactions. Check out our Infographic.
27 Open Source Image Datasets to Enhance Your Computer Vision Project [2025 Updated]
An AI algorithm is only as good as the data you feed it. It is neither a bold nor an unconventional statement. AI could have
Image Annotation – Key Use Cases, Techniques, and Types [2024]
The Ultimate Guide to Image Annotation for Computer Vision: Applications, Methods, and Categories Table of Contents Download eBook Get My Copy This guide handpicks concepts
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.
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
Building Inclusive AI for India: Shaip’s Role in Project Vaani
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
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.
The Role of Multimodal Medical Datasets in Advancing AI Research
Did you know AI models that merge diverse medical data can enhance predictive accuracy for critical care outcomes by 12% or more over single-modality approaches?
AI in Healthcare: Understand the Benefits and Challenges
The market value of artificial intelligence in healthcare hit a new high in 2020 at $6.7bn. Experts in the field and tech veterans also reveal
The True Cost of AI Training Data: How to Budget Effectively for High-Quality Datasets
Developing Artificial Intelligence (AI) systems is a complex and resource-intensive process. From sourcing data to training models, the journey involves numerous challenges that can significantly
Off-the-Shelf AI Training Data: What It Is and How to Select the Right Vendor
Building AI and machine learning (ML) solutions often requires massive amounts of high-quality training datasets. However, creating these datasets from scratch demands significant time, effort,
Why Multilingual AI Text Data is Crucial for Training Advanced AI Models
The world is a vibrant tapestry of cultures and languages. While differences in geography, language, and ideologies exist, shared emotions connect us. To truly harness
In-House or Outsourced Data Annotation – Which Gives Better AI Results?
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced close to 2.5 quintillion data bytes
The Role of NLP in Insurance Fraud Detection and Prevention
We are witnessing an era in which AI is also being used by fraudsters. This makes it extremely difficult for users to detect suspicious activity.
The A To Z Of Data Annotation
What is Data Annotation [2025 Updated] – Best Practices, Tools, Benefits, Challenges, Types & more Need to know the Data Annotation basics? Read this complete
What is Anti-Spoofing and Its Techniques for Liveness Detection in Face Recognition?
Facial recognition has become a key pillar of present security systems in smartphone authentication, banking, and surveillance. However, with the increasing application of facial recognition,
Top NLP Trends to Look After in 2025
If you are active in the AI space, then you must be familiar with NLP, which stands for Natural Language Processing. NLP is changing how
What are the Top Multimodal AI Applications and Use Cases?
Multimodal AI brings together knowledge from varying resources like text, pictures, audio, and video, thus being able to provide richer and more thorough insights into
What is RAFT? RAG + Fine-Tuning
In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from
What are Large Multimodal Models (LMMs)?
Large Multimodal Models (LMMs) are a revolution in artificial intelligence (AI). Unlike traditional AI models that operate within a single data environment such as text,
19 Must-Have Free Face Recognition Datasets for Computer Vision Projects
Are you searching for high-quality Free Face Recognition Datasets to elevate your AI and machine learning projects? Look no further! We’ve compiled a list of
Optimizing RAG with Better Data and Prompts
RAG (Retrieval-Augmented Generation) is a recent way to enhance LLMs in a highly effective way, combining generative power and real-time data retrieval. RAG allows a
RAG vs. Fine-Tuning: Which One Suits Your LLM?
Large Language Models (LLMs) such as GPT-4 and Llama 3 have affected the AI landscape and performed wonders ranging from customer service to content generation.
What Are Multimodal Large Language Models? Applications, Challenges, and How They Work
Imagine you have an x-ray report and you need to understand what injuries you have. One option is you can visit a doctor which ideally
Everything About Conversational AI: How it’s works, Example, Benefits and Challenges [Infographic 2025]
Explore how Conversational AI is reshaping industries with personalized interactions. Check out our Infographic.
27 Open Source Image Datasets to Enhance Your Computer Vision Project [2025 Updated]
An AI algorithm is only as good as the data you feed it. It is neither a bold nor an unconventional statement. AI could have
Image Annotation – Key Use Cases, Techniques, and Types [2024]
The Ultimate Guide to Image Annotation for Computer Vision: Applications, Methods, and Categories Table of Contents Download eBook Get My Copy This guide handpicks concepts
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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