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Conversational ai
Case Study

Training data to build multi-lingual Conversational AI

High-quality audio data sourced, created, curated, and transcribed to train conversational AI in 40 languages.

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Utterance data collection
Case Study

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.

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Content moderation - resources image
Case Study

30K+ docs web scrapped & annotated for Content Moderation

To build automated content moderation ML Model bifurcated into Toxic, Mature, or Sexually Explicit categories

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Multimodal ai

Buyer’s Guide: Multimodal AI

Multimodal AI represents more than just a technological advancement—it’s a fundamental shift in how machines understand and interact with the world. As businesses continue to generate and collect diverse types of data, the ability to process and understand these multiple modalities simultaneously becomes not just an advantage, but a necessity.

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Data annotation & data labeling

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.

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Data collection buyers guide banner

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.

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Buyer’s guide: conversational ai

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.

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Image 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.

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Video annotation

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.

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Llm buyers guide

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.

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Ai training data

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.

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Raw data to real-time cx
From Raw Data to Real-Time CX: How AI-Ready Data Can Drive Enterprise Decisions

Hardik explains why the real challenge for enterprises isn’t data volume, but data readiness

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Ai4 conference
AI4 Conference: Solving the Computer Vision Data Collection Issues

Our CRO, Mr. Hardik Parikh gave a keynote session on “Solving the Computer Vision Data Collection Issues” at Ai4 2022 in Las Vegas.

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Future of voice technology
Future of Voice Technology – Challenges & Opportunities

This webinar explains how voice technology can be used across domains and how Conversational AI improves end-user experience.

Data transforming healthcare
Data Transforming Healthcare

This webinar explains how data can be used in healthcare with AI use cases, training datasets, and data processing.

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